Dissertations / Theses on the topic 'Revealed e stated preferences'

Stated preference and revealed preference are two commonly conducted non-market value evaluation methods which can also be applied to make evaluation of forest ecosystem. In the application of these evaluation methodologies, there always exists limitation from the data collection and empirical analysis. In the dissertation here, I extend the traditional evaluation methods with novel design or statistical analysis approaches to solve the practical problem we met in evaluation of forest ecosystem. The first and second chapters are based on stated preference methods. The first chapter employ both the mail survey and on-site survey to investigate the preference for attributes of low-impact timber harvesting programs. In the second chapter, we recruit three interest groups for on-site survey and compare their preference for the low-impact timber harvesting programs. In these first two chapters, choice modeling method is employed to elicit the respondents' preferences, and I also use bootstrap method to get robust estimation results for small sample size data. The last chapter employed revealed preference method to evaluate the economic losses from hemlock damages caused by forest pest. Three different interpolation methods are employed to scale-up the analysis from sites to states. Based on the findings of all three chapters, we can see that these survey design and statistical methods help to overcome the limitations in empirical analysis of forest ecosystem and make more robust inferences for design forest protection policies.
Ph. D.

La valorizzazione territoriale di un bene culturale e ambientale per un suo efficace tourism management è strettamente legata allo studio dei visitatori (Bollo, 2007). Da un lato è infatti connessa all’analisi delle caratteristiche anagrafiche in vista della creazione di nuove offerte turistiche, dall’altro è fortemente correlata alla presa di coscienza dei bisogni e delle aspettative degli utenti stessi verso la proposta di nuove policies e di alternative di scelta connesse al tempo libero e al “bene turismo”. La ricerca si configura in tre step principali: la contestualizzazione della teoria di riferimento circa i modelli per l’analisi econometria delle preferenze individuali si inserisce nella letteratura e nel panorama culturale/turistico nazionale e internazionale con riferimento al “bene turismo” e agli attributi a questo connessi. Il caso studio (ancora in via di definizione) propone un percorso di studio fondato sulla letteratura di settore ma fortemente operativo sull’area in esame e rispetto ai suoi fruitori. L’attività svolta a SiTI degli ultimi anni circa il tourism management le politiche di valorizzazione turistica si configura come substratum conoscitivo di partenza molto importante.

Understanding of the shift behaviours are critical to formulate effective policies to encourage mode shift and anticipate the increasing demands of public transport services impacted by the shifting behaviours. This study aims to investigate the mode choice behaviour of commuters by utilising the nation-wide survey of commuters in Australia and employing the state-of-the-art Multinomial Logit Models. This study has investigated three critical choice behaviours issues: commuters' satisfaction towards train fare, consistency between commuters' current behaviours against their future preferences, and policy interventions to influence mode shift. Its findings have demonstrated significant theoretical and practical contributions to the commuters' choice behaviours.

I denna uppsats skattas betalningsviljan hos besökarna på Peace & Love-festivalen år 2011. Med hjälp av enkätdata baserad på avslöjade och uttalade preferenser presenteras en regressionsanalys med olika oberoende variabler som karaktäriserar en festivalbesökare. Total budget är den beroende variabeln i regressionsanalysen och tolkas i uppsatsen som ekvivalent med besökarnas betalningsvilja. Analysen visar att män i genomsnitt spenderar 301 kronor mer än kvinnor, att turister i genomsnitt spenderar 1 124 kronor mer än en icke-turist samt att den genomsnittliga besökaren har en betalningsvilja på 4 183 kronor. Ett skattat konsumentöverskott har också värderats, vilket uppgick till 743 kronor per person och cirka 37 miljoner kronor totalt för de 50 000 festivalbesökarna. Uppsatsen tar inte hänsyn till de ekonomiska effekter som festivalen har på Borlänge som stad.
In this thesis the willingness to pay among the visitors of peace & love-festival year 2011 is valued. With survey data based on revealed and stated preferences a regression analysis is presented with different independent variables that characterizes a festival visitor. Total budget is the dependent variable in the regression analysis and is, in this thesis, to be regarded as equivalent to visitors’ willingness to pay. The analysis shows that men in general spend 301 SEK more than women, tourists in general spend 1 124 SEK more than non-tourists and that the average visitor has a willingness to pay valued to 4 183 SEK. A consumer surplus has also been valued, which amounted to 743 SEK per visitor and around 37 million SEK in total for all 50,000 visitors. This thesis does not take into account the economic effects the festival holds on the city of Borlänge.

Air travellers' choice behaviour is fundamental to air transport system planning. The Korean international air travel market is at an expansion stage. The objective of this study is to research the choice behaviour of Korean people for their international trips. The flight choice for long distance international travel, which takes more than ten hours of air journey time was studied through analysing stated preference (SP) data as well as revealed preference (RP) data, which were gathered by the survey of this research. The study identified the major factors influencing flight choice in the market and their relative importance by constructing logit models. Separate logit models have been calibrated with RP data and with SP data. The final conclusion was obtained from a comparison of the SP and RP model, and complementary interpretation of the results of RP data and SP data analysis. The major findings of the study are; (1) identification of journey time, air fare, service frequency, and nationality of airline as major factors influencing passengers' flight choice in the market. It is remarked that Korean nationality of airline is considerably preferred in the market. Most Koreans are not fluent in foreign languages, especially English or other European languages, and they are not accustomed to Western culture, and this results in their preference for Korean airlines. (2) estimation of the value of travel time, and other relative importance of variables. For RP data, not only coefficients of the model, but also intellectual interpretation of the data themselves was conducted because some coefficients of the RP model were not statistically significant.

This thesis endeavours to address the dual relationship of individual behaviours and characteristics of inhabited environments that affect individuals' choices for physical activity inducing the obesity epidemic. The thesis explores if environmental characteristics could impede engagement in energy expenditure activities such as leisure time spent on physical activity which may be responsible for the rising level of obesity. Generating a greater understanding on the determinants for engagement in physical activity could yield valuable understanding on the role the local environment implicates on rising obesity levels in NI. This research employs methodologies primarily used to value recreational demand and natural resources that are adapted in this study in order to improve the decision making process in the development of public health strategies improving the health of the NI population. The goal of this thesis is to explore how public health interventions can increase levels of physical activity among the population and value the health benefits of physical activity as 1well as the monetary benefits that society receive. This thesis employs three non-market valuation techniques, the Travel Cost Method (TCM), Contingent Behaviour (CB) and Contingent Valuation Method (CVM) in order to value the health benefits of increase levels of physical activity. The TCM questions explore the public health benefits stimulated by characteristics of local neighbourhoods. It is assumed that neighbourhood characteristics affect the level of engagement in physical activity and time allocated to other daily activities. The CB questions are used to assess physical activity levels under improved hypothetical neighbourhood characteristics, as well as value the health benefits of participation in physical activity. The CVM questions estimate the publics' willingness to pay for improvements to local neighbourhoods, motivating increased participation in physical activity.

In a controlled lab experiment, we investigate hypothetical biases in the value of time by comparing stated preference (SP) and revealed preference (RP) values attached to unexpected waiting times. The SP and RP choice sets are identical in terms of design with the only difference being that the RP choices have real consequences in terms of unexpected waiting times and monetary incentives. We find a substantial hypothetical bias with the average SP value of time being only 71% of the corresponding RP value. The bias is mainly driven by participants who have scheduling constraints during the time of the unexpected wait. Scheduling constraints are taken into account to a much lesser extent in the SP setting than in the RP setting, presumably because only in the latter, the consequences of ignoring them are costly. We find evidence that this effect is stronger for persons with relatively low cognitive ability.

This thesis contributes to the economics of conservation of agricultural biodiversity on farm with a case study on traditional Hungarian home gardens, which are microagroecosystems that are repositories of Hungary's remaining agricultural biodiversity riches, as well as of Hungarian cultural heritage. The aims of this thesis are to measure the private values of home gardens and agricultural biodiversity therein that accrue to farm families who manage them, and to investigate the effects of household, market, agro-ecological, cultural and economic factors on farm families' demand for and supply of agricultural biodiversity in their home gardens. Data on farm families' revealed and stated preferences for agricultural biodiversity in home gardens are collected from 323 farm households in 22 communities across 3 regions of Hungary, with an original farm household survey and an original choice experiment. Data are analysed with theoretical and empirical models from agricultural and environmental economics literature to identify those farm families, communities and regions that attach the highest values to agricultural biodiversity and that are most likely to conserve home gardens with high levels of agricultural biodiversity. The results disclose that the most isolated communities in the country, that are economically and environmentally marginalised, are most likely to sustain and attach the highest values to traditional, agricultural biodiversity rich home garden management practices. Within these communities, farm families that are larger, have elderly decisionmakers, lower income levels and home gardens with unfavourable production conditions tend to conserve higher levels of and attach the highest values to agricultural biodiversity in home gardens. Since where private values of conservation are the highest the cost of conservation would be the least, the results of this thesis may assist the national policy makers in designing efficient and cost-effective agri-environmental policies for conservation of Hungary's agricultural biodiversity riches and cultural heritage.

The aim of this research was to construct a freight mode choice model, from the perspective of New Zealand freight shippers, identifying the possibility of mode substitution effects. Shipper’s freight modal choice depends on freight demand and infrastructure as well as the quality of service characteristics of alternative modes, such as transport cost, delivery time, reliability, damage and loss and frequency of service. Freight logistics characteristics, such as the attributes of the shipper, the attributes of the commodities to be transported, and the spatial attributes of shipments, strongly influence modal choice. In New Zealand, due to the heterogeneity of firms and issues of confidentiality and reliability of data, relatively little research has been done on modelling freight mode choice. This research involved revealed preference (RP) and stated preference (SP) surveys of representative freight shippers and agents. User-specific data make it possible to better identify the dependence between shipper’s mode shift behaviour and freight logistics in New Zealand circumstances. Moreover, by applying a discrete choice approach, the possibility of mode substitution effects was investigated. This research approach was prompted by substantial changes in New Zealand’s freight transport patterns due to the increasing use of logistic processes, and previously developed models using a four-stage approach fail to model elements of firms’ characteristics (i.e. size of shipments, delivery distance, export volume, product shelf-life, size and location of firm, number of road fleets, and relationship with contracted carriers). The outcomes of this research have shown that many of the operational and logistical influences that affect mode choice vary with the shipper and the industry. As a result, public policy makers should recognize that effective policy must consider both the needs of the transportation service provider and user. In particular, the public policy maker should recognize that freight transport mode choice results from an array of interactions among transportation characteristics, logistics characteristics and product characteristics.

Travel demand forecasting is essential for many decisions, such as infrastructure investments and policy measures. Traditionally travel demand modelling has considered trip frequency, mode, destination and route choice. This thesis considers two other choice dimensions, hypothesised to have implications for travel demand forecasting. The first part investigates how the increased possibilities to overcome space that ICT (information and communication technology) provides, can be integrated in travel demand forecasting models. We find that possibilities of modelling substitution effects are limited, irrespective of data source and modelling approach. Telecommuting explains, however, a very small part of variation in work trip frequency. It is therefore not urgent to include effects from telecommuting in travel demand forecasting. The results indicate that telecommuting is a privilege for certain groups of employees, and we therefore expect that negative attitudes from management, job suitability and lack of equipment are important obstacles. We find also that company benefits can be obtained from telecommuting. No evidences that telecommuting gives rise to urban sprawl is, however, found. Hence, there is ground for promoting telecommuting from a societal, individual and company perspective. The second part develops a departure time choice model in a mixed logit framework. This model explains how travellers trade-off travel time, travel time variability, monetary and scheduling costs, when choosing departure time. We explicitly account for correlation in unobserved heterogeneity over repeated SP choices, which was fundamental for accurate estimation of the substitution pattern. Temporal constraints at destination are found to mainly restrict late arrival. Constraints at origin mainly restrict early departure. Sensitivity to travel time uncertainty depends on trip type and intended arrival time. Given appropriate input data and a calibrated dynamic assignment model, the model can be applied to forecast peak-spreading effects in congested networks. Combined stated preference (SP) and revealed preference (RP) data is used, which has provided an opportunity to compare observed and stated behaviour. Such analysis has previously not been carried out and indicates that there are systematic differences in RP and SP data.
QC 20100825

In the modern industrialized society, a long commuting time is becoming more and more common. However, commuting results in a number of different costs, for example, external costs such as congestion and pollution as well as internal costs such as individual time consumption. On the other hand, increased commuting opportunities offer welfare gains, for example via larger local labor markets. The length of the commute that is acceptable to the workers is determined by the workers' preferences and the compensation opportunities in the labor market. In this thesis the value of travel time or commuting time changes, has been empirically analyzed in four self-contained essays. First, a large set of register data on the Swedish labor market is used to analyze the commuting time changes that follow residential relocations and job relocations. The average commuting time is longer after relocation than before, regardless of the type of relocation. The commuting time change after relocation is found to differ substantially with socio-economic characteristics and these effects also depend on where the distribution of commuting time changes is evaluated. The same data set is used in the second essay to estimate the value of commuting time (VOCT). Here, VOCT is estimated as the trade-off between wage and commuting time, based on the effects wage and commuting time have on the probability of changing jobs. The estimated VOCT is found to be relatively large, in fact about 1.8 times the net wage rate. In the third essay, the VOCT is estimated on a different type of data, namely data from a stated preference survey. Spouses of two-earner households are asked to individually make trade-offs between commuting time and wage. The subjects are making choices both with regard to their own commuting time and wage only, as well as when both their own commuting time and wage and their spouse's commuting time and wage are simultaneously changed. The results show relatively high VOCT compared to other studies. Also, there is a tendency for both spouses to value the commuting time of the wife highest. Finally, the presence of hypothetical bias in a value of time experiment without scheduling constraints is tested. The results show a positive but not significant hypothetical bias. By taking preference certainty into account, positive hypothetical bias is found for the non-certain subjects.

Choice experiments (CEs) are commonly used in applied economics to value non-market goods or to overcome market imperfections. In a CE, participants are asked to choose between two or more multi-attribute hypothetical descriptions of the good. These stated preferences are then used to estimate the marginal utility of changes in the composition of the good. This PhD thesis aims to contribute to the base of knowledge on the applications of stated preference methods in health economics. The thesis consists of three independent papers. All the studies have in common that they feature a choice experiment. However, regarding content, various policy-relevant questions in health economics are addressed. The first paper investigates heterogeneity in patients’ willingness to wait (WTW) for changes in time and risk attributes of kidney transplantation and examined how heterogeneity in WTW can be mapped with observable characteristics of the patients. Using mixed logit models in WTW-space, we find evidence of heterogeneity in WTW for attributes of kidney transplantation. We demonstrate that younger patients are willing to wait longer for a transplant with the better-expected outcome. Moreover, patients with longer duration of dialysis are willing to wait longer for a better-quality organ. The implication for transplant practice is that accounting patients' preferences in kidney allocation algorithm may improve patients’ satisfaction and the donor-receiver matching process. The second paper explores whether there is a link between cognitive ability, choice consistency, and WTW, using heteroskedastic multinomial logit, generalised multinomial logit models, and the same data set as in the first paper. A higher cognitive ability tended to result in more consistent choices, and consistency resulted in a lower WTW for changes in the multi-attribute content of kidney transplantation. The paper highlighted the importance of incorporating a cognitive ability test in CEs to determine the consistency of choice responses. The third paper investigates whether individuals aggregate multi-attribute information when completing choice tasks in CEs. An existing CE survey concerned with preferences for personalisation of chronic pain self-management programmes in the UK is used to explore attributes aggregation (AA) in multi-attribute choices. We develop a framework in which individuals restructure the multi-attribute information into a meta-attribute (e.g., convert non-monetary attributes into a single quality dimension) before making their decisions. We find evidence of AA when responding to CEs, with the probability of adopting AA greater for homogenous information. AA is more prevalent amongst participants who adopted a quick and click strategy (shorter response time), more likely to occur for later positioned choice tasks (potentially due to fatigue effect), leads to improvements in model fit and has implications for welfare estimates. Our results underline the importance of accounting individuals’ information processing rules when modelling multi-attribute choices.

AgÃncia Nacional do PetrÃleo
A utilizaÃÃo de modelos de escolha discreta à um mÃtodo eficaz que retrata o comportamento dos consumidores em diversos mercados. Sua aplicaÃÃo tem sido amplamente difundida na literatura para retratar a realidade de mercados de produtos e serviÃos no setor de transportes. Quando sÃo necessÃrios estudos de previsÃo de demanda, o modo mais adequado consiste na utilizaÃÃo conjunta de dados de preferÃncia declarada (PD) e preferÃncia revelada (PR). A combinaÃÃo destes dados fornece modelos estatisticamente mais consistentes do que aqueles estimados com dados puros de PD ou de PR. Dessa forma, o presente trabalho aplica uma metodologia baseada em modelos de escolha discreta com insumo de dados de PD e PR, chamada de GNVPREV, para analisar as preferÃncias dos usuÃrios de combustÃveis, enfocando o gÃs natural veicular - GNV, dentro de um contexto competitivo de um mercado de energÃticos veiculares. Esta anÃlise foi restrita aos usuÃrios de veÃculos leves - automÃveis, camionetas e caminhonetes - que utilizam a gasolina, o Ãlcool ou o prÃprio GNV. A metodologia GNVPREV foi aplicada para uma Ãrea de estudo constituÃda por uma parte do distrito sede do municÃpio de Caucaia, situado na RegiÃo Metropolitana de Fortaleza, Estado do CearÃ. O levantamento de dados a partir de questionÃrios de preferÃncia declarada e revelada, elaborados previamente, forneceu insumos para estimativas de funÃÃes de utilidade e obtenÃÃo de parÃmetros de elasticidade de demanda, trade-off entre alternativas e cenÃrios de previsÃo de demanda. Os resultados obtidos foram satisfatÃrios, dentro das limitaÃÃes dos dados primÃrios e secundÃrios, e confirmaram um melhor desempenho do modelo quando estimado com dados conjuntos de PD e PR.

Contingent Valuation (CV) methods are a primary tool in environmental economics to ascertain non-use or other values not observable through existing market mechanisms. Because common CV approaches typically rely on hypothetical answers from surveys in order to generate welfare estimates, these are often labelled stated preferences. Results from stated preference methods often diverge from those obtained when actual preference or behavior are involved. This divergence is commonly known as Hypothetical Bias (HB). This dissertation addresses HB as it applies to environmental applications. To begin, a meta-analysis using a sample of studies many times larger than previous works was performed. Its results identify which study protocols exacerbate HB, and which may mitigate it. Furthermore, the meta-analysis establishes the efficacy of some popular techniques to mitigate HB. The second essay focuses on understanding and addressing two important topics to environmental economics, distance decay and charismatic species conservation. These effects have not been investigated with respect to HB. We implement a field survey of monarch and viceroy butterfly conservation, creating survey treatment conditions involving both real payment and hypothetical scenarios in order to establish the extent of HB. The key finding is that while HB is present for both butterflies, HB in distance decay exists for monarchs. There is also additional HB for monarchs compared to viceroys, which we attribute to the former’s charisma. The final endeavor studies the usefulness of consequentiality, a relatively new tactic to reduce HB. Consequentiality is the degree to which respondents believe their answers may affect policy outcomes. Relying on the monarch field survey, we find that using a technique known as ex ante consequentiality may exacerbate HB. Another approach known as ex post consequentiality is more effective at reducing the extent of HB in the data. Lastly, some elements of the studies’ results showcase that HB is not always present and can also explain some of the mixed results found on the efficacy of HB mitigating methods reported in previous studies.

Background & Aim The PhD aimed to quantify preferences for depression treatments using Discrete Choice Experiments (DCEs). A secondary aim was to investigate the relationship between demographic variables, psychological variables and preferences. Methods & Analysis Two DCEs were designed and administered, investigating preferences for treatment of depression by: (1) a drug and (2) a physical activity intervention. The DCE designs were informed by focus groups and qualitative interviews. A best-worst scaling DCE was used for both studies. The physical activity intervention DCE was included in the baseline questionnaire of an RCT at the University of Bristol. Demographic information and psychological measures (including BDI scores) were analysed alongside the DCE. The drug treatment DCE was distributed as a postal questionnaire to a general population sample of 5000. Psychological measures of illness and medicine beliefs as well as the BDI were included in the questionnaire. Demographic data were also collected. Quantitative data were analysed primarily using conditional logistic regression. Results Results from the Physical activity DCE (for 152 patients) indicated that on average, patients particularly valued key aspects of the intervention, such as small goals, fitting activity into daily routine and having support over the intervention itself (being one giving choice of activity rather than exercise on prescription). Results from Drug study DCE (for 425 respondents) revealed a particular desire for no side-effects: large improvements in likely effectiveness are required to compensate respondents for non-zero risks of these. Heterogeneity analysis for both studies revealed effects of a number of demographic and psychological variables on preferences for attributes of depression treatment. Discussion Results of both studies are discussed in terms of their policy relevance and also from a methodological angle. The implications the results have on the use of DCEs in health care is considered.

This thesis is concerned with the application of stated preference methods to non-market valuation problems. It reviews the literature on the state of the art of the method, and applies the techniques to three applications in the water sector. In the first application, estimates are presented of the value to households in England and Wales of improvements to the quality of water in the natural environment. The need for value estimates arises from the European Community Water Framework Directive, which drives water policy across the European Union. Area based values were generated to maximise the potential for subsequent policy incorporation and value transfer. These were found to vary from £2,263 to £39,168 per km 2 depending on the population density around the location of the improvement, the ecological scope of that improvement, and the value elicitation method employed. The second application investigates the cost of drought water use restrictions to households and businesses in London. Estimates of willingness to pay for service quality increments often play an important role in the decisions of regulators and regulated companies in industries where consumers have little opportunity to exercise their preferences for service quality. The estimates presented in this chapter are particularly applicable to regulatory appraisals of water company investment expenditure and to planning applications for projects to improve the resilience of urban water supply systems. The final application examines the reliability of values measured before an economic downturn for application during the downturn via analysis of near identical surveys conducted before, and during, the 2008-2010 economic recession. The main result is that the economic downturn led to lower willingness to pay when elicited via 5 the payment card contingent valuation method, but had no effect on values elicited via a dichotomous choice (i.e. referendum-type) contingent valuation question. Potential explanations for this finding are explored in light of the literature on closed-ended versus open-ended elicitation method comparisons.

Many times governments and policy makers have to choose among different projects or policies to implement. In principle, the best choice is the one which maximizes the social welfare that, in turn, depends on individual preferences. But very often preferences are unknown and even not observable. In practice, a common procedure is to directly ask a sample of individuals about their preferences, which are therefore stated by agents rather than revealed by their behaviour. Methods for preference revelation can be classified into two broad families. The first one involves the case in which respondents are asked to simulate their market behaviour in a fictitious context designed by the researcher. The final goal of these studies is the estimation of willingness to pay (WTP), or willingness to accept (WTA), for changes in provision of non-market goods. A large literature investigates both theoretical issues connected with these procedures (Bates, 1988) and empirical results from country experiences (Mackie at al., 2003). The second family of surveys are commonly employed in public opinion analysis. In this case respondents are asked to reveal their current attitudes, whilst in some circumstances they are required to state their satisfaction with a certain policy or service. In the last decades the interest towards such analysis largely increased and a broad amount of surveys have been systematically collected (Rabin, 2002). Whatever the kind of analysis, when individuals correctly report the behaviour they would keep in a real context, or honestly admit their attitudes and perceptions, the target of the policy maker is reached. Hence, the issue of reliability of stated preferences becomes crucial in order to understand what we can learn from surveys and how SP analysis can be exploited by policy makers. Our research question is simply the following one: can we trust in SP methods? In order to answer this question the work is organised in three sections. The first one is devoted to the definition of the concept of “reliability”. In the first place, the latter depends on the family of SP methods we are dealing with. When individuals are required to replicate their market behaviour in a fictitious scenario, two perspectives can be applied: the first one based on mainstream economic theory (Hicks and Allen, 1934) and the other one in accordance to the so called behavioural programme (Sunstein and Thaler, 2008). Both approaches are discussed, pointing out the problematic issues which characterise each methodology and trying to propose a definition for the concept of reliability. The second family of surveys can be classified into two sub-groups, based on the object of the analysis. The first group includes all situations where agents are required to reveal their actual behaviour (Bertrand and Mullainathan, 2001) while the second one is composed by those studies in which agents are asked to express their feelings or perceptions about a certain aspect of their life (McFadden et al. 2005). Again, the concept of reliability has been investigated for each group of surveys. The second and the third sections are devoted to empirical works which try, recalling the definition of reliability suggested in the first chapter, to apply this concept to empirical studies.

Violence is a considerable burden on society; the costs incurred through treating victims and apprehending the perpetrators combine with economic costs, the emotional victim costs and costs to the community through increased fear of crime to suggest the costs of violence are significant. A growing number of studies seek to quantify the economic and social impact of crime by assessing the aggregate social costs incurred by criminal offending or by examining the consequences of crime at the individual level, focusing on its effect on the general welfare. Regardless of the approach, tangible and intangible costs are always identified, with the first referring to those directly observable and the latter to the unobservable costs that refer to the physical and emotional impact on crime victims. Despite the importance of both, the available estimates of the intangible costs of violence are very limited, especially in the UK context. This research set out to investigate this gap and provide a new insight into violence costs with a special focus to the intangible losses incurred by pain and suffering. Stated preferences techniques were developed and applied for this purpose, aiming to determine the monetary values of risk reduction of assault-related injuries as assigned by a UK sample to victimisation risks, contingent on the injury severity and psychological outcome. Novel epidemiological research carried out with British Crime Survey and Accident and Emergency data assisted this application, as the drawn evidence formed the basis for constructing plausible scenarios with a representative description of violent victimisation outcomes. The analyses identified that socio-demographic characteristics (gender, age, ethnicity), quality of life indicators (self-rated health, income, marital status, educational qualifications) and offence-specific characteristics (use of force/violence, sustained injuries, injury severity, severity of the emotional effect, alcohol consumption prior to the incident) were not only linked to victimisation risks but also predicted severe emotional responding. Altogether, results suggested a two-dimensional structure underlying victims’ emotional reaction and a similar two-dimensional severity-based structure underpinning the physical aftermath of a violent assault. This research concluded with an array of comparable values that denote public's perception of victimisation risks in monetary terms while it highlighted the issues emerging from such an application. The estimation exercise showed that WTP varied extensively across respondents: women were willing to pay more to reduce victimisation related risks and WTP increased with education, age, income and fear of crime. Previous victimisation and difficulty in answering the valuation questions were negative influences on WTP. The numerical findings reflect the importance of victims' costs and provide metrics useful in assessing the cost-effectiveness of crime interventions. Although the contingent valuation method was effective for analysing intangible victim costs providing support for continuing this line of research, further work is required to substantiate its application and strengthen its methodology within the crime context.

Most governments in the world provide some publicly funded healthcare to their citizens, but given the scarcity of resources relative to potential demand, some form of rationing or priority setting is required, and some patients must be denied effective treatment. The thesis took the position that an explicit approach based on maximising the value that society derives from healthcare is the preferred way to address this rationing problem. Conventional health economic practice proposes that value should be equated with quality-adjusted life years (QALYs), leading to a policy of QALY maximisation, but, it is argued, not necessarily value maximisation. A more inclusive approach to defining value, based on societal preferences, may maximise overall well-being and be associated with greater trust and legitimacy in the priority setting process. The thesis identified patient and program characteristics that appeared to have empirical evidence of public support as well as a defensible ethical justification in determining the strength of a patient’s claim to societal healthcare resources. The relative strength of preferences for these characteristics, or the equity-efficiency trade-off, was estimated using stated preference methods. Two different methods, discrete choice experiments and constant-sum paired comparisons, were used and the response behaviours of the two elicitations were compared to identify a preferred method for eliciting societal preferences in the context of healthcare. Both methods found a statistically significant equity-efficiency trade-off in an age and sex representative sample of the Canadian public as well as a convenience sample of decision-making agents. This suggested that society would be willing to sacrifice some degree of efficiency in maximising individual life year gains in order to prioritise other characteristics consistent with the promotion of equity or distributive justice in the allocation of healthcare resources. However, differences between the results of the two elicitation methods suggested some systematic procedural variance.

An evidence-based policy debate about future fuel demand requires reliable estimates for fuel price elasticities. Such predictions are often based on revealed preference (RP) data. However, this procedure will only yield reliable results in the absence of severe structural discontinuities. In order to overcome this potential limitation we used a situational stated preference (SP) survey to estimate the response to hypothetical fuel price changes beyond the scope of previous observations. We elicit fuel price elasticities for price increases up to four Euros per liter and find that the situational approach predicts the actual responses to previously observed fuel price changes very well. We conclude that applying a situational approach is particularly useful, if behavioral predictions for unprecedented (non-monetary) policy interventions or supply side shocks are of interest that go beyond the reach of standard RP approaches.

Thesis (Master of Marketing)--Cape Peninsula University of Technology, 2019
This thesis sought to investigate students’ preferences regarding university accommodation. The object was to identify the aspects and elements of housing that students deemed most desirable. The research also aimed to ascertain which socio-demographic variables might serve as predictors of preference in student housing. The thesis focused on student housing at a university in Cape Town, South Africa. The researcher adopted a stated preference approach, applying direct measurement and conjoint analysis methods to answer the research questions. The study commenced with qualitative exploratory research, including a literature review and focus group interviews with students. This was followed by collection of cross-sectional quantitative data using person-administered, structured questionnaires distributed among students at the university. SPSS software was used to analyse a total of 457 completed questionnaires. The direct measurement results indicated that most students prioritised convenience, safety, cost and privacy when it came to choosing accommodation. The three most important attributes as ranked by respondents were having unlimited free WiFi, the inclusion of a 24-hour computer lab in the building, and 24-hour on-site security. In addition, respondents favoured the presence of a convenience shop/kiosk in the residence, followed by sharing showers with students of their own gender, and being within walking distance of campus. Preferences for some but not all the dimensions of accommodation appeared to be influenced by gender, age group and study level. When indicating their willingness to pay (WTP) for a variety of elements relating to accommodation, it emerged that the question of sharing the space in their room – their living and learning space – was very important to the students. The results showed that, apart from having unlimited WiFi and 24-hour on-site security, the aspects for which respondents were prepared to pay most concerned the private space of the individual, e.g. room privacy and room size, as well as having their own toilet and shower. WTP attributes also varied among students according to age group, gender and level of study. Results from the stated preference (conjoint) experiment analysis showed that students were most sensitive about the sharing of ablutions and number of roommates, strongly preferring private rooms and facilities, or sharing with fewer other students. Monthly rent is next most influential, followed by distance from campus. The model also showed significant differences in the preferences of students based on their gender. Research in this field is overdue because, owing to recent increases in the tertiary student population in South Africa, there is a growing shortage of student accommodation. Current and future student housing needs must be assessed, and any such assessment requires a thorough grasp of current student accommodation preferences. The results of this research thus contribute to the knowledge and understanding available to managers and developers of student accommodation regarding students’ requirements and preferences. The findings can serve as a set of guidelines for developers of student housing and as a foundation for formulating associated marketing strategies. Despite the existence of extensive research on student housing, few studies have focused on the preferences of students in developing countries, and even fewer in South Africa. This research seeks to fill this gap by increasing awareness and understanding of students’ preferences with regard to university accommodation.

Formal study of music in the United States is based on the Western art music tradition. Nevertheless, there is a philosophy rapidly spreading throughout the United States which holds that musics of many cultures must be taught in the schools. The underlying belief in multicultural music education is that the study of various cultures and their musics will affect our expectations, and consequently broaden our musical preferences. This study investigated the effects of ethnicity on the stated musical preferences of university non-music majors. It was conducted on two university campuses that are in the same area. One campus has a population that is predominantly white American and the other predominantly African American. The subjects were students enrolled in music appreciation classes on both sites. The subjects listened to musical examples from each of the Western art music style periods. They then completed a questionnaire which contained an ethnic attitudes dimension. A week later, they were asked to listen and respond to four musical examples. The playing of this series of musical examples was preceded by biographical information on fictitious composers. The data supported the alternative hypothesis which stated that ratings assigned to music of African American composers and white American composers by all listeners, without regard to ethnicity, would be significantly different. The value of Omnibus p was.002 and is significantly less than the stated alpha level of significance at.05. The data between ethnic groups supports the alternative hypothesis that ratings assigned by white Americans and African Americans would be significantly different. The Omnibus p here is equal to.02. There was no relationship found between the ethnic attitudes and musical preferences of white Americans and African Americans as stated in the null hypothesis. Non-hypothesized questions investigated the effects of the subjects' rank in school, gender, age, grade point average, and university attended. The data supports the conclusion that rank, age, and grade point average, for this investigation, were not significant. Conversely, the data does reveal that gender and universities were found to have a relationship to the ethnic attitudes and musical preferences of the subjects.

Bakgrund: För att ge vägledning till hur samhället skall värdera nutida effekter gentemotframtida, exempelvis att rädda liv eller fördela samhälleliga investeringar, har ekonomergenomfört stated preference-studier med syfte att undersöka individers samhälleligatidspreferenser. Studiernas resultat har producerat en stor variation kring hur individervärderar framtida utfall jämfört med nutida. Resultaten har dock tolkats som att individer,även om tidspreferenserna varierar i storlek, värderar framtida utfall lägre än nutida. ShaneFrederick genomförde 1999 en studie, som Frederick benämnde som ett ”robusthetstest” avden dittills använda metodiken, där han i motsats till tidigare studier inte bara erbjödrespondenterna ett nutida utfall jämfört med ett framtida, utan även erbjöd respondenternaolika sekventiella fördelningar över tid. Resultaten kontrasterade tydligt tidigare studiersresultat, respondenterna föredrog exempelvis att rädda liv fördelat på tre generationer iställetför endast i deras egen – vilket indikerade att respondenterna hade negativa tidspreferenser!Inga uppföljningsstudier har därefter genomförts.Syfte: Att undersöka individers samhälleliga tidspreferenser när de erbjuds sekventiellafördelningar över tid.Metod: Två enkätundersökningar genomfördes vid Linköpings universitet. Respondenternaställdes inför olika sekventiella fördelningar för räddandet av liv och samhälleligaupprustningar, såväl i ett intra- som ett intergenerationsperspektiv.Slutsats: Vi finner ej stöd för att en majoritet av individerna värderar framtida samhälleligaupprustningar eller att rädda framtida liv, lägre än nutida. Vi finner heller ej stöd för attindividers tidspreferenser endast innefattar en preferens för den tidshorisontella absolutafördelningen (nutid gentemot framtid). I både ett intra- och ett intergenerationsperspektivföredrog den största andelen av respondenterna en jämn fördelning över tid. I ettintragenerationsperspektiv, där vi erbjöd individerna olika sekventiella fördelningar över tid,påverkades respondenternas val av den relativa fördelningen över tid. Alla resultatuppvisades för både räddandet av liv och samhälleliga upprustningar.
Background: To give guidance for societal policy decisions on how to value future effectscompared to present, economists have used stated preference methodology to measureindividuals’ societal time preferences. The results have produced a great variety in the size ofindividuals’ time preferences, but have in general at least concluded that individuals valuefuture effects less then present. Shane Frederick performed in 1999 what he called a “test ofrobustness” of the methodology used in previous studies. Instead of just offering individualsto choose from an outcome today towards an outcome x years from now, he also offeredrespondents outcomes sequentially spread out across time. The results contradicted those ofprevious studies. For example 80% of the respondents preferred to save 300 lives across 3generations instead of 300 in their own – which implied negative time preferences! Nofurther follow up studies have been performed.Objective: Investigate individuals’ societal time preferences, when they are offeredsequential outcomes over time.Methodology: Two questionnaires where handed out at Linköpings university. Therespondents where offered different sequential outcomes over time for saving lives and whenpublic investments should occur, in as well an intra- as an intergenerational perspective.Conclusion: Our findings do not indicate that a majority of the individuals value savingfuture lives less then present lives, or that they value future public investments less thenfuture investments. Neither do they indicate that individuals’ societal time preferences onlyincorporate the absolute time horizontal aspect. In both an intra- and an intergenerationalperspective the largest fraction of the individuals preferred an equal distribution over time. Inan intragenerational perspective, where we offered individuals different sequentialdistributions, the individuals choice where affected by the relative distribution over time. Allfindings where present both for saving lives and public investments.

Abu-Dhabi (AD) is the largest of the seven Emirates that comprise the United Arab Emirates. Abu-Dhabi, the capital of the UAE with 1,493,000 inhabitants, accounts for 86.7% of the total surface area of the state. The emirate of Abu-Dhabi, through its Policy Agenda 2007-2008, the strategic Plan 2008-2012 and the Plan Vision Abu-Dhabi 2030 has recently re-branded itself and has made a series of assertive moves in order to boost the tourism and hospitality sectors as a means to a more diversified economy. The proposed study aims to examine the scope of accommodating alternative forms of hotel developments in the Abu Dhabi Emirate. Ultimately, the goal of the study is to evaluate consumers' decision making process with respect to the emirate's effort to tap into new markets by investing in various types of accommodation establishments. A major part of my research has concentrated in the use of stated preference discrete choice modelling (SPDCM) in the area of hospitality management. This is because understanding the basic drivers of tourists' choice patterns in terms of their vacation accommodation is at the heart of consumer behaviour in the hospitality sector (Mattila 2004). In practice, the empirical investigation has revealed that price, aversion to risk and quality matters are probably the 3 most significant factors driving individual preference patterns for the hospitality sector currently. When evaluating respondents' stated preferences for future or hypothetical managerial initiatives in the hospitality sector, the analysis identified particularly strong preferences towards more integrated and holistic types of advertisement and communication. At the same time, it appears that respondents value quite significantly their privacy and security of their personal space. This piece of finding from the elicitation of their stated preferences is a way confirms earlier findings regarding aversion to hotel security risk from the analysis of respondents' revealed preferences. The analysis of respondents' stated preferences also identified very strong and positive preferences towards superior 5* hotel developments in AD. This point alone could suggest a number of things. First, this piece of evidence, similar to the case presented above, confirms respondents revealed preferences from the descriptive analysis as far as the significance of quality matters on travellers' choice patterns. Second, it rather indicates that respondents have already developed an image of top – class destination (or probably a luxury type of destination) for the Emirate as a whole. In turn, this could imply that policy makers at a destination level, as opposed to a resort or a hotel level should make sure that the Abu Dhabi Emirate does not lose this comparative advantage. Compared to neighbouring Dubai that has not been promoted as a luxury but affordable destination but where one visits mainly for shopping destination, Abu Dhabi is perceived as the luxury destination alternative that offers a 'once – in – the – lifetime' experience. Finally, further analysis also focuses on the examination of visiting friends and relatives (VFR) travellers in Abu Dhabi Emirate, as a separate case of tourism demand at the destination. The empirical results indicate that VFR travellers to Abu Dhabi illustrate considerable heterogeneity as far as their duration of stay, their gender, their age structure, their educational attainment and the income classification. The empirical results suggest that policy makers and planners should take advantage of the current scale of values (culture and religion) as well as economic reasons in order to attract more VFR visitors at the destination. This is mainly due to the large European and Asian communities currently established in Abu Dhabi.

There is an enormous educational disparity among schools in the United States. One reason for this disparity is the teachers employed by well-performing schools and low-performing schools. This study reports the factors and financial tradeoffs that would influence well-qualified teachers to work in low-performing schools. Teacher employment is viewed as a set of discrete choices made over time and based on a finite group of factors. This study uses a multinomial discrete choice experiment to determine how the school-related factors (alternative-specific variables) and teacher-related factors (case-specific variables) influence the willingness of experienced teachers in well-performing schools to transfer to low-performing schools. A discrete choice experiment (DCE) using an optimal, fractional factorial, experimental design (D-efficiency = 96.5 and A-efficiency = 92.9) with an adequate sample (n =111) was employed. The data are analyzed using alternative-specific conditional logistic regression, nested logistic regression, and latent class conditional logistic regression. The latent class conditional logistic regression with 3-classes was deemed the best fit and its results were interpreted. The first class has high job satisfaction and generally stays in their current school. The second class is most likely female and does not value salary, but rather better student behavior and school climate. The third and largest class has similar values with Latent Class 2, but fiscal incentives could impact their decision. This study shows that teachers are willing to work in low-performing schools, but school- and teacher-related factors impact the overall attractiveness to well-qualified teachers.

Les préférences révélées lient choix, préférences et bien-être lorsque les choix apparaissent cohérents. Le premier chapitre s’intéresse à la force des hypothèses nécessaire pour obtenir des indications précises sur le bien-être quand les choix sont incohérents. Il utilise les données d’expériences en laboratoire et sur le terrain pour évaluer le pouvoir prédictif de deux approches utilisant peu d’hypothèses. Ces approches ont un pouvoir prédictif élevé pour une majorité d’individus, elles fournissent donc des indications précises sur le bien-être. Le pouvoir prédictif de ces approches est fortement corrélé à deux propriétés des préférences révélées. Le deuxième chapitre introduit une méthode pour obtenir l’ensemble des meilleures alternatives d’un individu, en cohérence avec théorie des préférences révélées, mais en contradiction avec les pratiques expérimentales. Les individus sont incités à choisir plusieurs alternatives à l’aide d’un petit paiement additionnel, mais sont rémunérés à la in par une seule, tirée au hasard. Les conditions pour que les meilleures alternatives soient partiellement ou complètement identifiées sont données. Le troisième chapitre applique cette méthode dans une expérience. Les meilleures alternatives sont complètement identifiées pour 18% des sujets et partiellement pour 40%. Les préférences complètes, réflexives et transitives rationalisent 40% des choix observés dans l’expérience. Permettre que les choix dépendant de l’ensemble de choix, tout en conservant les préférences classiques, rationalise 96% des choix observés. Enfin, on observe une quantité significative d’indifférence, bien supérieure à ce qui est obtenu traditionnellement
Revealed preferences link choices, preferences, and welfare when choices appear consistent. The first chapter assesses how much structure is necessary to impose on a model to provide precise welfare guidance based on inconsistent choices. We use data sets from the lab and field to evaluate the predictive power of two conservative “model-free” approaches of behavioral welfare analysis. We find that for most individuals, these approaches have high predictive power, which means there is little ambiguity about what should be selected from each choice set. We show that the predictive power of these approaches correlates highly with two properties of revealed preferences. The second chapter introduces a method for eliciting the set of best alternatives of decision makers, in line with the theory on revealed preferences, but at odds with the current practice. We allow decision makers to choose several alternatives, provide an incentive for each alternative chosen, and then randomly select one for payment. We derive the conditions under which we partially or fully identify the set of best alternatives. The third chapter applies the method in an experiment. We fully identify the set of best alternatives for 18% of subjects and partially identify it for another 40%. We show that complete, reflexive, and transitive preferences rationalize 40% of observed choices in the experiment. Going beyond, we show that allowing for menu-dependent choices while keeping classical preferences rationalize 96% of observed choices. Besides, eliciting sets allows us to conclude that indifference is significant in the experiment, and underestimate by the classical method

This thesis aims to deepen our understanding of the impact and cost-effectiveness of new HIV prevention products in South Africa. It explores how stated preferences for products vary across groups, and uses these data to estimate their cost-effectiveness in different populations. Also, it seeks to predict how products themselves may change the economics of sex work and lead to risk compensation among female sex workers (FSWs). The validity of predicting behaviours through the use of stated preference methods is explored through a systematic review and meta-analysis. By integrating methods from the fields of health economics and infectious disease modelling, this thesis aims to give better predictions of the potential impact and cost-effectiveness of HIV prevention products. This is a paper-style thesis which incorporates seven papers and a short correspondence publication, linked by short pieces of supporting material. The thesis finds that products offering effective multipurpose protection would be cost-effective among younger female groups and FSWs. However, it predicts that products could change the economics of sex work, potentially leading to risk compensation among FSWs. A dynamic transmission model is used to show how this risk compensation could meaningfully reduce product impact. This thesis demonstrates the value of combining economic and epidemiological modelling methods to explore preventative behaviours in HIV. Further work is needed to assess the external validity of these methods.

Despite its potential multiple contributions to sustainable policy objectives, urban transit is generally not widely used by the public in terms of its market share compared to that of automobiles, particularly in affluent societies with low-density urban forms like Australia. Transit service providers need to attract more people to transit by improving transit quality of service. The key to cost-effective transit service improvements lies in accurate evaluation of policy proposals by taking into account their impacts on transit users. If transit providers knew what is more or less important to their customers, they could focus their efforts on optimising customer-oriented service. Policy interventions could also be specified to influence transit users’ travel decisions, with targets of customer satisfaction and broader community welfare. This significance motivates the research into the relationship between urban transit quality of service and its user perception as well as behaviour. This research focused on two dimensions of transit user’s travel behaviour: route choice and access arrival time choice. The study area chosen was a busy urban transit corridor linking Brisbane central business district (CBD) and the St. Lucia campus of The University of Queensland (UQ). This multi-system corridor provided a ‘natural experiment’ for transit users between the CBD and UQ, as they can choose between busway 109 (with grade-separate exclusive right-of-way), ordinary on-street bus 412, and linear fast ferry CityCat on the Brisbane River. The population of interest was set as the attendees to UQ, who travelled from the CBD or from a suburb via the CBD. Two waves of internet-based self-completion questionnaire surveys were conducted to collect data on sampled passengers’ perception of transit service quality and behaviour of using public transit in the study area. The first wave survey is to collect behaviour and attitude data on respondents’ daily transit usage and their direct rating of importance on factors of route-level transit quality of service. A series of statistical analyses is conducted to examine the relationships between transit users’ travel and personal characteristics and their transit usage characteristics. A factor-cluster segmentation procedure is applied to respodents’ importance ratings on service quality variables regarding transit route preference to explore users’ various perspectives to transit quality of service. Based on the perceptions of service quality collected from the second wave survey, a series of quality criteria of the transit routes under study was quantitatively measured, particularly, the travel time reliability in terms of schedule adherence. It was proved that mixed traffic conditions and peak-period effects can affect transit service reliability. Multinomial logit models of transit user’s route choice were estimated using route-level service quality perceptions collected in the second wave survey. Relative importance of service quality factors were derived from choice model’s significant parameter estimates, such as access and egress times, seat availability, and busway system. Interpretations of the parameter estimates were conducted, particularly the equivalent in-vehicle time of access and egress times, and busway in-vehicle time. Market segmentation by trip origin was applied to investigate the difference in magnitude between the parameter estimates of access and egress times. The significant costs of transfer in transit trips were highlighted. These importance ratios were applied back to quality perceptions collected as RP data to compare the satisfaction levels between the service attributes and to generate an action relevance matrix to prioritise attributes for quality improvement. An empirical study on the relationship between average passenger waiting time and transit service characteristics was performed using the service quality perceived. Passenger arrivals for services with long headways (over 15 minutes) were found to be obviously coordinated with scheduled departure times of transit vehicles in order to reduce waiting time. This drove further investigations and modelling innovations in passenger’ access arrival time choice and its relationships with transit service characteristics and average passenger waiting time. Specifically, original contributions were made in formulation of expected waiting time, analysis of the risk-aversion attitude to missing desired service run in the passengers’ access time arrivals’ choice, and extensions of the utility function specification for modelling passenger access arrival distribution, by using complicated expected utility forms and non-linear probability weighting to explicitly accommodate the risk of missing an intended service and passenger’s risk-aversion attitude. Discussions on this research’s contributions to knowledge, its limitations, and recommendations for future research are provided at the concluding section of this thesis.

The main topic of this doctoral thesis is the co-benefit concept, here applied as an assessment paradigm to innovative urban projects. In this research, a co-benefit is defined as any positive impact or effect, regardless of the intentionality, exceeding the primary project goal. More specifically, because the projects here analyzed are those aiming at (re)developing smart and sustainable energy districts, CO2 emission reduction and energy savings are considered the twin primary goals. To investigate the applicability of the assessment paradigm, the work focuses both on methodological and operative issues, each developed in a single research. The general topic and the four papers are summarized in chapter 1 “Introduction and research papers presentation”, also including a brief overview of complementary research activities, and then further developed in as many chapters. The core of the work starts with two general investigations concerning (i) the co-benefits identification and classification under the smart-city perspective, and (ii) the application to them of the most suitable monetization techniques. Then, it concludes with two instances of investigative fieldwork into co-benefits, about (iii) the marginal implicit value of energy performance in residential properties, and (iv) the priorities declared by houseowners as they consider a deep-energy retrofit. To identify and classify the co-benefits, with respect to the various project activities, it is necessary to establish a common lexicon among the various expressions and definitions employed by projects. This phase is also needed to define the boundaries of the investigation, as well as the reference scale, and to avoid double counting. In chapter 2 “Overview and taxonomy of co-benefits based on European experiences”, I propose a classification rooted in practical experiences reported by projects dealing with the implementation of green neighborhoods and urban renewable-energy systems. Due to the vastness and diversity of urban projects labeled as smart, sustainable, or both, it was also necessary to identify a subset of them having similar characteristics, here named Smart and Sustainable Energy-District Projects (SSEDPs). Thus, the focus was on 36 finished or still-running SSEDPs funded by the European Union (EU) within two relevant initiatives: “Concerto” and “Smart Cities and Communities”. The anticipated or already experienced co-benefits were extracted by accessing official sources (e.g., websites, reports) and reviewing them with respect to the specialized literature, obtaining 156 different expressions referring to positive impacts. After a thorough and iterative comparison by a group of experts, a short list of 19 key urban co-benefits is extracted. Finally, to show how relevant is the contribution of these projects to improving the quality of life of citizens and urban competitiveness, a smart-city-based taxonomy is elaborated, by sorting the co-benefits into seven groupings: smart natural environment, smart services, smart community, smart governance, smart economy, smart built environment, and smart mobility. Chapter 3 “Economic assessment methodologies” faces the issue of providing an overview of suitable methodologies for economic assessment, and of creating a framework for evaluating the key urban co-benefits recognized by EU-funded SSEDPs. The aim is to explore the feasibility of a co-benefit approach to a cost-benefit analysis (CBA) being applied to the decision-making framework by quantifying, in monetary terms, all the positive effects (benefits or inflow), as well as the negatives (costs or outflow). Due to the specificity of some co-benefits, besides direct-market value, non-market techniques have been identified as applicable to price them. Such techniques investigate consumers’ preferences starting from individual purchasing habits (revealed preferences) or asking them directly about their preferences (stated preferences). It showed that, for a minority of co-benefits, even the monetization of the human capital should be assessed to complete the whole picture. As a result, looking at the reference literature and involving a multidisciplinary team of experts, an “assessment menu” is developed, suggesting indicators and techniques. The menu also includes some estimated values reported by other studies, examples of practical application in similar contexts, and techniques or approaches suggested by analogy to the reference literature. The chapter 4 “A hedonic price model of energy performance of buildings” is tested in the city of Bolzano. This estimation technique identifies price factors (transactions or asking prices) according to the premise that an asset’s price is determined both by the intrinsic characteristics of the good being sold and extrinsic ones. The research constitutes the first attempt at breaking down the local residential property price and including, among the relevant factors, internal characteristics such as the energy performance certificate (EPC) class. By accessing a specialized real-estate website, 1,130 selling advertisements are collected, then geolocated, and analyzed by using Geographic Information System (GIS) software. The aim was to test the presence of spatial autocorrelation, and to eventually correct the estimation based on the ordinary least-squares (OLS) method. In fact, a neglected consideration of spatial relationships, in the presence of spatial dependence would lead to biased results. After a careful refinement of the sample, the evaluation of the marginal contribution of EPC class in the determination of the asking price has been estimated in a 6.3% price premium, moving from lowest class (G) to middle classes (C or D), and a 9.5% when reaching the highest classes (A or B), ceteris paribus. Finally, the OLS-regression result is confirmed, after checking for spatial autocorrelation and testing the Spatial Lag model (the GIS software ArcMap and GeoDa were used). In chapter 5 “A multiple benefits approach to understanding citizen priorities for deep-energy retrofitting”, the focus shifts from a specific co-benefit to a specific target group. Here, priorities declared by houseowners approaching a deep-energy retrofit are shown and weighted, adopting a multi-criteria decision analysis (MCDA) method. According to the test-phase results, a decision tree with five criteria and 15 subcriteria has been designed: four in “thermal and hygrometric comfort”; three in “design and architectural quality”, “acoustic comfort”, and “economic benefits”; and two in “sustainability”. Then, a pool of ten experts in the field of energy refurbishment and building works (selected among those working in South Tyrol) has been interviewed by applying the Analytic Hierarchy Process (AHP) technique, which enables evaluation of qualitative criteria through pairwise comparison. The “Super Decisions” software was used, which is specifically designed to support the data collection and results’ validation of AHP. Not surprisingly, the “economic-benefits” side plays a relevant role (38% of the global importance). However, a cross-sector analysis of expected benefits dealing with better health and well-being of occupants reveals that they cover 41% of the overall motivation. These points should be carefully considered not only in the design phase of a private project but also in the communication strategies and within each participatory phase of any project where the decision-maker (private or public) differs from the occupant. The thesis culminates with chapter 6 “Conclusions”, where achieved results of all the four previously described investigations are briefly summarized and further developments are proposed as an impetus for deeper investigations or cross-cutting research.
Il tema principale di questa tesi di dottorato è costituito dal concetto di “co-beneficio” (in inglese co-benefit), qui inteso come un paradigma di valutazione di progetti urbani innovativi. In questa ricerca, il co-beneficio è definito come un qualsiasi impatto o effetto po-sitivo che ecceda l'obiettivo primario del progetto, indipendentemente dalla intenzionalità o meno con cui esso si manifesta. Nello specifico, poiché i progetti qui analizzati sono volti alla creazione di distretti energetici intelligenti e sostenibili (in inglese Smart and Sustainable Energy District Projects – SSEDPs) o alla rigenerazione di quartieri esistenti, il loro obiettivo primario può essere considerato duplice: riduzione delle emissioni di CO2 e raggiungimento di risparmi energetici. Per studiare l'applicabilità del paradigma di valutazione, il lavoro di tesi si concentra sia su questioni metodologiche che operative, ognuna sviluppata in una singola ricerca. Il tema generale e le quattro ricerche specifiche sono riassunti nel capitolo 1 "Introduzione e presentazione dei research papers", che offre inoltre un breve excursus su attività di ricerca complementari. Poi, le quattro ricerche sono sviluppate in altrettanti capitoli della tesi. Il nucleo del lavoro si apre con due indagini generali relative a (i) identificazione co-benefici e loro classificazione in una logica di smart city, e (ii) definizione delle più opportune tecniche di monetizzazione a loro applicabili. Da qui il lavoro procede con due attività di investigazione e analisi sul campo dei co-benefici, ovvero (iii) determinazione del valore marginale implicito della prestazione energetica nel prezzo di offerta degli immobili residenziali, e (iv) pesatura dei benefici attesi dichiarati dai proprietari immobiliari nel commissionare una ristrutturazione energetica radicale (in inglese deep energy retrofit) della propria residenza. Per identificare e classificare i co-benefici, in relazione alle differenti attività di progetto, è stato necessario stabilire un lessico comune tra le varie espressioni e definizioni rintracciabili in diversi contesti. Si è reso inoltre necessario, nella fase preliminare, definire i confini della ricerca, così come la dimensione di riferimento, per evitare un doppio conteggio dello stesso co-beneficio. Nel capitolo 2 "Descrizione e tassonomia dei co-benefici sulla base delle esperienze europee", si propone una classificazione fondata sulle evidenze riportate dai progetti riguardanti la realizzazione di quartieri sostenibili e di sistemi energetici urbani con integrazione di fonti energetiche rinnovabili. Data la vastità e diversità dei progetti urbani definiti smart, sostenibili, o da entrambe i termini, è stato necessario individuare un sottoinsieme di progetti con caratteristiche simili ed equiparabili. Ad essi è stata attribuita la dicitura di Smart and Sustainable Energy District Projects – SSEDPs. In tal modo, l'attenzione della ricerca si è concentrata su 36 SSEDPs, alcuni già conclusi, altri ancora in esecuzione, finanziati dall’Unione Europea (UE) all’interno di due importanti iniziative: "Concerto" e "Smart Cities and Communities". I co-benefici, attesi o già riscontrati, sono stati ottenuti accedendo alle fonti ufficiali (quali siti web e report) e incrociandoli rispetto alla letteratura specializzata di settore. Si sono così ottenute 156 diverse espressioni riferibili agli impatti positivi. Dopo un confronto approfondito e iterativo condotto da un gruppo di esperti, si è giunti alla formulazione di una lista sintetica di 19 co-benefici urbani di preminente interesse. Infine, per mostrare quanto rilevante sia il contributo di questi progetti al miglioramento della qualità della vita dei cittadini e della competitività urbana, è stata elaborata una tassonomia dei co-benefici basata sulle sette dimensioni della smart city (ambiente naturale, servizi, comunità, governance, economia, ambiente costruito, mobilità). Il capitolo 3 "Metodologie di valutazione economica" affronta il problema di fornire una panoramica di quali possano essere le metodologie adeguate per la valutazione economica dei co-benefici, e di creare un quadro di riferimento applicabile ai principali co-be-nefici urbani evidenziati dagli SSEDPs finanziati dalla UE. L'obiettivo è quello di esplorare la fattibilità di un approccio allargato, incorporante i co-benefici, nella formulazione di ana-lisi costi-benefici (in inglese Cost-Benefit Analysis - CBA), e pertanto di offrire al quadro decisionale una quantificazione monetaria di tutti gli effetti positivi e negativi. A causa della specificità di alcuni co-benefici, oltre alla identificazione diretta del valore di mercato, sono state ipotizzate le tecniche non di mercato strategicamente applicabili per la definizione del loro valore. Tali tecniche permettono di indagare le preferenze dei consumatori a partire da singole abitudini di acquisto (preferenze rivelate) o chiedendo loro diretta-mente di esprimersi sulle preferenze (preferenze dichiarate). Per una minoranza di co-benefici, anche una monetizzazione del valore del capitale umano dovrebbe essere inclusa per completare l'intero quadro. Come risultato, ancora una volta riferendosi alla letteratura scientifica specializzata e coinvolgendo un team multidisciplinare di esperti nel dibattito, è stato possibile sviluppare un "menù di valutazione", suggerendo indicatori e tecniche applicabili ai progetti esaminati. Il menù comprende anche alcuni valori stimati riportati da altri studi, esempi di applicazione pratica in contesti simili, e le tecniche o approcci suggeriti per analogia alla letteratura di riferimento. Nel capitolo 4 "Un modello di prezzo edonico per l’analisi della prestazione energetica negli edifici" è testato nella città di Bolzano. Questa tecnica di stima individua i fattori determinanti il prezzo dell’immobile (applicabile alle transazioni quanto ai prezzi di offerta, come in questo caso) in base alla premessa che esso sia determinato da caratteristiche intrinseche del bene stesso posto in vendita e da caratteristiche estrinseche. La ricerca costituisce un primo tentativo di scomporre il prezzo di offerta degli immobili residenziali di Bolzano comprendendo tra i fattori rilevanti intrinseci anche la classe riportata dall'attestato di certificazione energetica (in inglese Energy performance certificate - EPC). Ac-cedendo a un portale internet immobiliare specializzato, sono stati raccolti 1.130 annunci, successivamente geolocalizzati e analizzati utilizzando sistemi informativi geografici (in inglese Geographic Information System - GIS). Lo scopo di questo passaggio, aggiuntivo rispetto ad un classico modello edonico, è stato quello di verificare la presenza di auto-correlazione spaziale, ed eventualmente correggere la stima ottenuta sulla base del metodo dei minimi quadrati (in inglese Ordinary Least Squares - OLS). Questo poiché, come evidenziato dalla letteratura, una non considerazione delle relazioni spaziali, in presenza di forte dipendenza spaziale, porterebbe a risultati distorti della stima. Dopo un attento affinamento del campione, il contributo marginale della classe energetica nella determinazione del prezzo di offerta, prendendo come base di riferimento gli immobili in classe peggiore (G), è stato stimato in un aumento del 6,3% per le classi medie (C o D), e del 9,5% per le classi più elevate (A o B), ceteris paribus. Infine, il risultato del modello di regressione dei minimi quadrati è stato confermato, dopo averlo verificato nella componente di autocorrelazione spaziale testando il modello spatial-Lag (per queste fasi sono stati utilizzati i software GIS ArcMap e GeoDa). Nel capitolo 5 "Un approccio basato sui benefici multipli per la comprensione delle priorità dei cittadini nelle ristrutturazioni energetiche", l'attenzione è stata spostata dall’analisi di un co-beneficio specifico a quella di un target specifico. Qui, le priorità dichiarate dai proprietari di immobili residenziali che si approcciano ad un deep energy retrofit della propria abitazione sono espresse e ponderate adottando un metodo di analisi di decisone multi-criteri (in inglese Multi-Criteria Decision Analysis - MCDA). Sulla base dei risultati di una prima fase test, è stato disegnato un albero del processo decisionale articolato in cinque criteri e 15 sotto-criteri, così suddivisi: quattro in "comfort termico e igrometrico"; tre in "design e qualità architettonica", "comfort acustico", "benefici economici"; due in "sostenibilità". Successivamente, un gruppo di dieci esperti nel campo della ristrutturazione energetica e nel settore dell’edilizia residenziale (selezionati tra quelli attivi in Alto Adige), è stato intervistato applicando la tecnica dell’Analytic Hierarchy Process (AHP), che con-sente la valutazione di criteri qualitativi attraverso il confronto a coppie. In questo studio è stato utilizzato il software "Superdecision", che è specificamente progettato per suppor-tare la raccolta dei dati e la validazione dei risultati AHP. Dai risultati ottenuti emerge, come era intuibile dato il contesto normativo attuale, che la dimensione dei "benefici economici" gioca un ruolo considerevole nella scelta (38% della rilevanza globale). Tuttavia, un'analisi trasversale dei benefici attesi che coinvolgono aspetti della salute e del benessere degli occupanti rivela che questi coprono il 41% della motivazione complessiva. Lo studio evidenzia quindi come tali punti debbano essere attentamente considerati non solo in fase di redazione dei singoli progetti, ma anche nelle strategie di comunicazione e all'interno di ciascuna fase di partecipazione nel caso di progetti nei quali il decisore (pubblico o privato) non corrisponda all'occupante. La tesi termina con il capitolo 6 "Conclusioni", dove sonno riepilogati i percorsi delle quattro indagini precedentemente descritte e sono brevemente riassunti i risultati. Sono inoltre evidenziati possibili sviluppi futuri, proposti come un impulso per indagini più approfondite o per ricerche trasversali.

Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xiv, 168 p.; also includes graphics (some col.). Includes bibliographical references (p. 161-168). Available online via OhioLINK's ETD Center

This diploma thesis is concerned with the use of the choice experiment method for modelling travel behaviour. The main scope of this diploma thesis is to find the main attributes for the individual's decision making about the student's choice of mean of transport. The models have been applied to long intercity trips between Prague and Brno. The model specification combines trip-based characteristics with socioeconomic characteristics. There are numerous European and US studies which have been conducted in a national context. In recent years, studies have been implemented also in the Czech Republic, but none of them focus on the specific segment of students. The principles of the choice experiment come out from the Lancaster' characteristics theory of value and random utility theory. The multinominal logit is used to the choice experiment analysis.

Um Strommärkte so zu konzipieren damit sie sowohl zur Verringerung der Nutzung fossiler Brennstoffe als auch zur Deckung des steigenden Energiebedarfes beitragen, ist Wissen über die Präferenzen der Konsumenten notwendig. Die vorliegende kumulative Dissertation untersucht Präferenzen für Elektrizitätsattribute von privaten Haushalten und trägt zu einem tieferen Verständnis dieser in unterschiedlichen Kontextsituationen bei. Der erste Artikel betrachtet statistische Methoden um die zwei am häufigsten angewandten Modelle – das Random Parameter Logit und das Latent Class Logit Modell – zu vergleichen. Der Artikel trägt dazu bei, den Prozess der Modellwahl zu verbessern und für die angewandte Forschung im Energiebereich anzupassen. Basierend auf den empirischen Ergebnissen des ersten Artikels untersucht der zweite Artikel die Präferenzen von privaten Haushalten in Hyderabad, Indien mit besonderem Fokus auf die physische Qualität der Energieversorgung. Die Ergebnisse deuten auf eine geringe Zahlungsbereitschaft der Konsumenten hin. Jedoch unterscheiden sich die Präferenzen der Haushalte. Die Artikel 3 und 4 basieren auf Datenerhebungen in Deutschland. Im dritten Artikel werden die Präferenzen privater Haushalte hinsichtlich der Organisationsform von Stromanbietern untersucht. Die Ergebnisse zeigen, dass die Kunden bereit sind mehr zu zahlen, wenn die Stromversorgung von Genossenschaften oder Stadtwerken übernommen wird. Der vierte Artikel betrachtet die Erfolgsfaktoren von Energiegenossenschaften in Deutschland. Die Ergebnisse zeigen, dass die Governance des Stromanbieters die Zahlungsbereitschaft für Strom beeinflussen. Insbesondere Genossenschaften werden den großen Privatunternehmen und Aktiengesellschaften vorgezogen.
In order to design electricity markets to simultaneously reduce the share of fossil fuels in energy production and meet the increasing demand for electricity, knowledge on consumer preferences is necessary. The goal of this cumulative dissertation is to contribute to the understanding of preferences of private households for electricity supply attributes in different contexts. In Paper 1 I review statistical methods to compare two frequently applied models, the random parameters logit and the latent class logit. The methods presented here can be readily used by other researchers and practitioners to better understand model performance which ultimately contributes to improving model choice in applied energy research. Based on the empirical findings of Paper 1, Paper 2 identifies preferences of private households in Hyderabad in India for electricity supply quality. The results indicate that willingness to pay for improvements are, on average, rather low. However, the preferences strongly vary between subjects. Papers 3 and 4 investigate preferences of German private households. In \textbf{Paper 3}, the respondents stated their preferences for the organization of the electricity distribution company under different renewable energy scenarios. It turned out that most people are willing to pay more for electricity supplied by municipally-owned companies and cooperatives. This additional willingness to pay increases disproportionally when the share of renewable energy is high. The paper identifies non-profit orientated distribution companies as potential drivers of the energy transition. Paper 4 investigates the determinants for the success of energy cooperatives in Germany. The results indicate that the governance of distribution companies impacts the choices of private households for electricity supply contracts. Especially, people preferred cooperative-like governance attributes.

Evaluation Problem: The Western Cape Provincial Government faces a public problem of declining service levels with respect of public bus transport services. Stemming from the public problem is the management problem of modelling choice behaviour of commuter stated choices for utility maximisation and therefore as a means of optimising the allocation of the Public Transport Operating Grant (PTOG) expenditure. Historically, differing perceptions amongst travellers, and the difficulties in quantifying these attributes, mean that they are rarely included (directly) within the modelling and appraisal process, or the associated utility computation (Crockett, Sinclair and Whelan. 2008:11). A combination of policies which would ensure that the discrete choices of commuters for an improved bus service are considered in a modal shift from the Golden Arrow Bus Services (Pty) Ltd (GABS) bus service to the MyCiTi Integrated Rapid Transit (IRT) service is required to be produced from this evaluation. Evaluation Approach: The evaluation brings together data and analytical information on a broader, more inclusive, societal model of the public transport service in Cape Town. It seeks to: - identify the value aspects of the public bus transport infrastructure and services, - identify and model choice behaviour of GABS bus service users, - generate preference valuations for public transport service attributes and - determine the effect of service attributes on modal choice namely GABS and a hypothetical MyCiTi service area. A discrete choice experiment models the stated choices of respondents who were made to choose between various combinations of service levels during the morning and afternoon peak commuting times. The commuters' willingness to pay for a switch to a new MyCiTi IRT-type service from their current choice of an existing GABS bus service is estimated. The choice data is collected by means of an on-board bus survey along three particular routes in Table View, a West Coast Region in the City of Cape Town, South Africa and where the new MyCiTi service is being introduced. The analyses will show which service attributes are significant in commuter mode choice behaviour, such as changes travel time, fare prices and other significant service attributes, as well as which level of service would maximise utility for the target population. Major Evaluative Conclusions: The evaluation found that the DCE choice modelling approach used was unfamiliar to the respondents and would most likely not have been completely understood. Although the factorial approach to designing the experiment could identify an exhaustive list of value aspects to choose from, the need to adopt a fractional factorial in the final design does necessitate further experimentation to produce a more comprehensive choice model, inclusive of more service attributes and with the discrete choice models corroborated with revealed preference data. Seat availability was by far the most significant choice determinant and the lack thereof would be a serious deterrent to a modal shift to using the new MyCiTi service. The number of transfers during the trip and the distance of the bus stop from home were also significant choice determinants. The choice models indicated that the female commuters particularly, were willing to pay for the new MyCiTi bus-type service. In the absence of suitable seating capacity, a reduced travel time would be required to reduce the standing times and make the MyCiTi service an attractive option. The analysis produced inconclusive data for ridership predictions, although it can generally be said that provided sufficient seating, the GABS bus users will be willing to switch modes, as there is no indication in the data to suggest otherwise. Considering the preferences expressed for the service attributes, a hypothetical service can be proposed, with a service mix of R9.00 per trip, that would take 45 minutes and that offered the commuter a seat for the journey. The first bus stop would be no more than two kilometres away and the journey would consist of no more than one transfer to reach the final destination.

Increased possibilitiesof choosing one’s school of preference hasbeen raised as a key factor in many countries to promote equal opportunitiesand higher quality of education. This has been endorsed by policymakers whoassume that students make well-informed rational choices and that students only stress academic quality whendeciding which school to attend. If this is true, it will benefit schools ofhigh academic quality, rendering improved school quality overall. To date,little research has examined the validity of these assumptions despite theprofound effects they have had for changing the school systems in manycountries. This study employs an experimental approach to investigate therelative importance of attributes in school choice. Specifically the study isbased on experimental data from 587 prospective high school students inHalmstad, Sweden. The purpose is to contrast the principal school qualityattributes behind the policy change (academic reputation and programfeasibility), with the presence of friends and geographical attributes such asdistance, location and accessibility, while controlling for individualcharacteristics. The results are disturbing as they reveal flaws in theassumptions that motivated the school choice policy reform. The study presents evidence of differencesin preferences and that grades are the most important background characteristic for this difference. The study also shows that all studentsare not rational to the same extent as theory predicts. Hence theSwedish school reforms have been based on a slightly biased theory. Finally, the study indicates that differentgeographic contexts (e.g. where the studentslive) affect students' preferences.

Public-Private-Partnerships (PPPs) are a public procurement policy that argues in support of greater value for money through optimal risk-sharing, by aligning incentives among parties who are profoundly different in terms of interests, objectives and risk preferences. The subject of interest in this thesis is tollroads that are procured under the PPP method, which traditionally involves the transfer of demand risk to the private sector. Designing contracts to share risk in light of incentive problems is the central premise of contract theory, yet the risk-sharing implications have rarely been adequately tested using micro data at the decision-maker level. In addition, empirical contract studies tend to ignore the risk preferences of contracting parties or assume that the stereotypical risk-averse agent and risk-neutral principal are present in all contractual relationships. This thesis addresses these shortcomings by presenting the methodology and empirical findings of an online survey within which a stated choice experiment was designed to capture the risk perceptions of contracting parties to a number of hypothetical PPP tollroad concessions. Information from 101 participants drawing on their project experience over 32 countries was collected within an advanced computer-aided personal survey instrument, to condition model estimates on observing the manner in which respondents processed the information presented to them to test the impact of contractual conditions and external institutional variables on their risk preferences, and hence their choice behaviour. While the findings of this thesis support the concept that risk-sharing in PPPs is in line with contract theory’s incentive alignment proposition, they refute the common belief in contract theory with respect to stereotypical economic actors. Moreover, the results demonstrate the powerful incentive effect of property rights to ex post surplus. There are a number of significant implications as to the design of contracts and reform of public policy if PPPs are to gain popularity and to attain value for money. To induce appropriate ex post performance efficiency, ex ante property rights need to be complemented with equitable risk-sharing among contracting parties. Uptake of the policy by the market can be enhanced by modifications to the identified institutional variables and contractual conditions. Finally, the thesis appeals to the theories of decision making to further pursue the influence of human cognition, particularly bounded rationality, on our decision choices.

The question of how to measure and classify people's risk preferences is of substantial importance in the field of economics. Inspired by the multitude of ways used to elicit risk preferences, we conduct a holistic investigation of the most prevalent method, the multiple price list (MPL) and its derivations. In our experiment, we find that revealed preferences differ under various versions of MPLs as well as yield unstable results within a 30-minute time frame. We determine the most stable elicitation method with the highest forecast accuracy by using multiple measures of within-method consistency and by using behavior in two economically relevant games as benchmarks. A derivation of the well-known method by Holt and Laury (American Economic Review 92(5):1644-1655, 2002), where the highest payoff is varied instead of probabilities, emerges as the best MPL method in both dimensions. As we pinpoint each MPL characteristic's effect on the revealed preference and its consistency, our results have implications for preference elicitation procedures in general.

The question of how to measure and classify people´s risk preferences is of substantial importance in the field of Economics. Inspired by the multitude of ways used to elicit risk preferences, we conduct a holistic investigation of the most prevalent method, the multiple price list (MPL) and its derivations. In accordance with previous literature, we find that revealed preferences differ under various and even the same versions of the MPL. Thus, an arbitrary selection of a particular risk assessment method can lead to biased results especially if researchers investigate its connection to other phenomena. In order to resolve this issue, we determine the most stable version of the MPL by using multiple measures of within-method consistency, and the version with the highest forecast accuracy by using behavior in two economically relevant games as benchmarks. A derivation of the well-known method by Holt and Laury (2002), where the highest payoff is varied instead of probabilities, emerges as the best MPL method in both dimensions. (authors' abstract)
Series: Department of Economics Working Paper Series

Urban forests provide environmental, social, and economic benefits to urban residents. These benefits are often overlooked when making spatial and financial distributive decisions in urban areas. The City of Tampa has demonstrated interest in its urban forest resource and estimated its extent and some of the benefits provided. Estimating economic values for benefits that have not been quantified can help to ensure that resources are distributed more efficiently. Five methods to estimate urban forest benefits in the City of Tampa are reviewed, with contingent valuation being the method chosen out of this review process. A mailed, dichotomous choice contingent valuation survey was executed with two points of contact, yielding 107 responses for a 21.4 percent response rate. Despite positively rating the City’s urban forest, the majority of respondents (62.6 percent) were willing to pay for it to increase. The Turnbull distribution-free estimator was used to estimate a lower bound of $3.23 for willingness to pay to increase Tampa’s urban forest resource by 250,000 trees. Willingness to pay was positively associated with income and education. The survey responses also yielded important attitudinal and behavioral information that can help local decision makers increase the efficiency of urban forest distribution, maintenance, and promotion.

Included in this thesis are two papers describing companion studies which employed complementary methodologies to study the issue of how Acadia National Park might balance resource protection efforts and maintain quality visitor experiences on the summit of Cadillac Mountain. In the first study, stated choice analysis was used to assess visitors' preferences for alternative combinations of public access, resource protection, visitor regulation, and site hardening to manage the Cadillac Mountain summit. Results suggest that visitors consider resource protection to be a priority and are willing to accept regulation of their behavior onsite, reinforced with the use of moderately to highly intensive management structures, but generally don't support limiting public access to the summit to achieve resource protection objectives. In the second study, qualitative interviews were conducted to provide an in-depth understanding of visitor experiences on the summit of Cadillac Mountain and how site management actions designed to achieve resource protection objectives might affect visitors' experiences. Respondents indicated that the summit of Cadillac Mountain is a centerpiece of Acadia National Park, and their experiences of the mountain summit are centered around the aesthetics and naturalness of Cadillac Mountain. Several factors emerged as influencing whether site management actions are deemed appropriate by visitors and perceived to affect visitors' experiences. In particular, site management structures that were perceived to blend in with the surroundings, be constructed of natural materials and protect vegetation were considered appropriate and of little consequence to visitors' experiences. Some study participants also suggested that site management structures that provide visitors with the opportunity to freely demonstrate their choice to help protect vegetation and soils can enhance visitors' experiences. In contrast, site management structures and actions perceived as being regulatory, confining, or limiting opportunities for visitors to choose to help protect vegetation resources were considered less appropriate and more likely to negatively affect visitors' experiences.
Master of Science