Bibliografías temáticas / Demand characteristics

Literatura académica sobre el tema "Demand characteristics"

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Publicado: 4 de junio de 2021
Última modificación: 13 de febrero de 2022

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Artículos de revistas sobre el tema "Demand characteristics"

1

Shkvarchuk, Lyudmyla y Rostyslav Slav’yuk. "Households’ credit demand: Main trends and characteristics for Ukraine". Banks and Bank Systems 16, n.º 3 (2 de agosto de 2021): 13–22. http://dx.doi.org/10.21511/bbs.16(3).2021.02.

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Household demand for credits is quite volatile, which requires constant evaluation of it changes. The purpose of the paper is to identify quantitative signals, the use of which increases the predictability of the credit market development. The study utilizes technical analysis methods for an econometric estimation of trends in household demand for credits in Ukraine for the 2002–2019 period. Based on the analysis of historical market lows, it was argued that with all the negative effects of destabilizing factors, the household demand for loans will not fall below the market support point of UAH 50 million. The financial behavior of Ukrainian households when choosing the type of loan is stable and does not change with fluctuations in GDP. Short-term loans are quite dynamic and largely depend on macroeconomic conditions, provoking market movements. If the relevant direction is supported by medium-term loans, the general market trend will correspond to the GDP trend. The demand for long-term loans is quite inertial, its change does not affect the overall market trend. The constant and variable elements of household demand for credit are highlighted.
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Berry, Steven y Ariel Pakes. "THE PURE CHARACTERISTICS DEMAND MODEL*". International Economic Review 48, n.º 4 (11 de diciembre de 2007): 1193–225. http://dx.doi.org/10.1111/j.1468-2354.2007.00459.x.

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Govern, John M. y Lisa A. Marsch. "Inducing Positive Mood without Demand Characteristics". Psychological Reports 81, n.º 3 (diciembre de 1997): 1027–34. http://dx.doi.org/10.2466/pr0.1997.81.3.1027.

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The possibility that a state of private self-awareness induced by a small mirror can facilitate the effect of procedures which induce a positive mood was investigated. Participants were 171 female and 60 male undergraduates who were randomly assigned to one of six conditions in a 2 (Mirror vs No-mirror) × 3 (Control vs Velten manipulation vs Music manipulation) design. As predicted, participants who experienced the Velten and Music manipulations in the presence of the mirror reported elevated mood relative to control participants. The mood of participants who experienced the Velten and Music manipulations without the mirror did not differ from the mood of control participants. The potential benefits of using a small mirror as a substitute for explicit instructions about the expected effect of mood-induction procedures are discussed.
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L. E. Stetson, G. L. Stark y K. L. Farrell-Poe. "Electric Demand Characteristics of Nebraska Farmsteads". Transactions of the ASAE 31, n.º 1 (1988): 0247–56. http://dx.doi.org/10.13031/2013.30696.

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Morley, Clive L. "Tourism Demand: Characteristics, Segmentation and Aggregation". Tourism Economics 1, n.º 4 (diciembre de 1995): 315–28. http://dx.doi.org/10.1177/135481669500100401.

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This paper aims to advance the understanding of the micro-economic foundations of tourism demand theory, particularly through bringing out some of the implications of the tour characteristics approach to utility analysis, and also through explicitly linking the micro-economic theory of the individual tourist to the aggregate level demand models as actually estimated. Important implications of the tour characteristics theory are that it yields theoretical rationales for the importance of market segmentation of tourism demand, and for tourism product differentiation. Consideration of the aggregation issues in the particular context of tourism demand shows aggregation to be justified and feasible when the market is segmented. Market segmentation is shown to be theoretically important for good tourism demand models, supporting its generally observed practical usefulness. Alternatively, aggregation can be justified through a random utility argument that assumes independence of individuals' tour decisions.
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Siegel, Paul S., Edward A. Konarski y Scott L. Bernard. "Demand characteristics and the response suppression hypothesis". Bulletin of the Psychonomic Society 24, n.º 5 (noviembre de 1986): 365–68. http://dx.doi.org/10.3758/bf03330154.

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Bezmen, Trisha y Craig A. Depken, II. "School characteristics and the demand for college". Economics of Education Review 17, n.º 2 (abril de 1998): 205–10. http://dx.doi.org/10.1016/s0272-7757(97)00025-3.

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Tian, Jing-Jing, Dong-Fan Xie y Fu-Jun Ding. "Mining Spatiotemporal Characteristics of Car-sharing Demand". Journal of Physics: Conference Series 1187, n.º 5 (abril de 2019): 052047. http://dx.doi.org/10.1088/1742-6596/1187/5/052047.

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Davies, John B. y David W. Best. "Demand characteristics and research into drug use". Psychology & Health 11, n.º 2 (febrero de 1996): 291–99. http://dx.doi.org/10.1080/08870449608400258.

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Baltas, George y Paraskevas C. Argouslidis. "Consumer characteristics and demand for store brands". International Journal of Retail & Distribution Management 35, n.º 5 (mayo de 2007): 328–41. http://dx.doi.org/10.1108/09590550710743708.

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Tesis sobre el tema "Demand characteristics"

1

Ngai, Christopher. "Estimating the demand structure of housing characteristics: a nonparametric approach". Oberlin College Honors Theses / OhioLINK, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1342186655.

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Sturgis, Laura M. "Demand Characteristics in the Hypnotic Elicitation of Multiple Ego States". DigitalCommons@USU, 1986. https://digitalcommons.usu.edu/etd/5942.

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Hypnotic elicitation of multiple ego states was explored using Hilgard's "hidden observer" paradigm. Twenty subjects in two groups: hypnosis and simulation were utilized to examine the impact of experimental demand characteristics on the production of multiple ego states. Self-report and hypnotist-report measures were obtained in a test-retest design. Multiple t-tests and chi-square analyses were computed with significant differences on key multiple ego state items found between groups. Results demonstrated retest reliability, but not inter-rater reliability of this dissociative phenomena, since hypnotists failed to discriminate real from "faked" hypnotic involvement. Exploration of multiple ego states using non-hypnotic control conditions and multiple dependent measures is suggested for future research.
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Larkin, Sherry Lynn 1966. "Domestic meat demand structure shifts due to changing household characteristics". Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/278083.

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During the past two decades the fluctuation in the domestic consumption of meat products indicated precarious trends in meat consumption. Furthermore, changes in the prices of goods and income have not fully explained these trends, suggesting that demographic factors have influenced consumer tastes and preferences. Using an iterated procedure for estimating a system of demand equations the effects of own price, cross price, income, and selected household characteristics on the domestic demand for meat products were determined. The selected household characteristics consisted of health information, opportunity cost of time, and the desire for convenience. The significance of the cross price relationships, time trends, and demographic variables suggests certain consumer behavior patterns. These variables indicate that the increased availability of health information negatively affects those products which show visible fat, but not those ground or processed. The employment status of females does not influence meat consumption in any recognizable pattern. And, the acceptance of microwave ovens encourages the consumption of meat that is in ground or processed form, or packaged in small quantities.
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Edouard, Josilien. "Characteristics of demand and supply of agroforestry tree germplasm in Kenya". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ31714.pdf.

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Pearce, Gregory T. "Negative pretrial publicity and juror verdicts testing the demand characteristics hypothesis /". View electronic thesis, 2008. http://dl.uncw.edu/etd/2008-1/pearceg/gregorypearce.pdf.

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Quon, G. "General manager characteristics, demand forecast accuracy, and decision quality in new firms". Thesis, Nottingham Trent University, 2015. http://irep.ntu.ac.uk/id/eprint/27719/.

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In today's complex and fast changing business environment, accurate demand forecasting is increasingly important to business decision making. The purpose of this study is to investigate the relationship between general manager (GM) characteristic, demand forecast accuracy and decision quality in new firms. A framework is developed and posits that demand forecast accuracy in new firms is impacted by GM involvement, GM expertise and GM overconfidence. GM involvement in the forecasting process positively influences forecasters' work engagement in the activity. In turn, the effect of GM involvement on forecast accuracy is mediated by employee work engagement. The effect of GM involvement is also moderated by the type of organization culture that exists in the enterprise. Finally, in this model, demand forecast accuracy is seen having a direct impact on decision quality. Based on survey sample collected from 331 general managers/forecasters in new firms, the analysis results show that GM involvement and GM expertise affect forecast accuracy positively, while GM overconfidence affects forecast accuracy negatively. In addition, the effect of forecast accuracy on decision quality is positively supported. The study also concludes that the three dimensions of work engagement, consisting of vigor, dedication, absorption, partially mediate then effect of GM involvement on demand forecast accuracy. Further the results show that clan culture or market culture environments that exist within the firm can positively moderate the relationship between GM involvement and forecast accuracy, while adhocracy or hierarchy culture produces a negative interaction for GM involvement. The outcome of the research is important in drawing suggestions for organization process redesign that can improve forecast accuracy and enhance decision quality.
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Hsu, Yu-Ting. "A generalized operational framework for mass evacuation integrating demand, supply, and disaster characteristics". Thesis, Purdue University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3604881.

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There has been an increasing focus in recent years on efficient response to large-scale disasters due to the severity of devastation under several natural and man-made disasters. From a transportation perspective, a key objective in this context is disaster-related mass evacuation to avoid/mitigate the potential loss of life. It addresses the movement of people (demand) from the region affected or threatened by a disaster to areas of safety using the available transportation system (supply). In an operational context, the mass evacuation problem is shaped by the dynamics of three underlying aspects: demand, supply, and disaster. Hence, it is critical to integrate the time-dependent effects, and consequent interactions, of these three aspects to determine effective evacuation strategies within a deployable framework. However, most current studies focus primarily on the supply-side management, while addressing the other two aspects in a comparatively notional or simplified manner. Additionally, there is the lack of systematic paradigms for real-time operation that capture the dynamics of the evacuation network resulting from the intricate interactions between these three aspects, especially evacuee behavior, evolving traffic conditions, and disaster spatio-temporal characteristics.

This dissertation proposes the concept of evacuation risk and behavior-consistent information strategies to develop a stage-based operational framework for mass evacuation that integrates the dynamics of demand, supply and disaster characteristics. Evacuation risk, a measure based on whether the population at a location in the affected region can be safely evacuated before the disaster impacts it, uses the estimated time-dependent lead time to disaster impact at a location and the estimated time-dependent clearance time based on evolving traffic conditions, to characterize the time-dependent risk associated with that location. Thereby, it factors the time-dependent effects of the supply and disaster characteristics to prioritize locations in terms of when they should be recommended to evacuate to mitigate the substantial impact of a large demand impinging on a finite transportation capacity in a short duration as is common under a mass evacuation scenario. The prioritization of the locations is done by determining evacuation risk zones (ERZs) based on their time-dependent evacuation risks. An innovative aspect of the concept of evacuation risk is that it enables the proposed framework to be independent of the specific characteristics of a disaster or disaster type. This feature enables the operational framework to be generalized relative to the disaster type and/or its characteristics, and represents a key departure from existing approaches in this domain.

The behavior-consistent information strategies of the disaster response operator provide evacuation recommendation and route guidance information to people in the disaster-affected region to minimize the total system travel time in that region. The strategies are behavior-consistent because they explicitly factor the disaster response operator's objectives and the estimation of evacuee response behavior to the provided information in the determination of the information strategies. This entails the consideration of the time-dependent interactions of the demand and supply characteristics. The evacuee behavior is modeled with several elements of realism. It factors emergent behavioral processes as the problem is characterized by a potential threat from the extreme event, time pressure, and herding mentality. It uses fuzzy logic to capture subjective and qualitative elements that govern evacuee decision-making under information provision. Due to limitation on the data availability in real-world operations, the associated behavior models are developed at an aggregate level, which allows model calibration based on measurable traffic data. A mixed logit structure is applied to accommodate the behavioral heterogeneity across individual evacuees. Together, this fidelity and realism in modeling the behavioral aspects of evacuation represent a key new capability to address disaster-related evacuation operations.

To enable real-time deployment from a computational standpoint, the stage-based framework is implemented using a rolling horizon approach by identifying an ERZ in each stage. The ERZ is a spatially bounded subzone of the affected region encompassing the population currently with the highest evacuation risk, in which the limited evacuation response resources (such as personnel and equipment) can be deployed to synergistically aid system performance under the information strategies adopted for that stage. Thereby, the ERZ-based strategies seamlessly integrate demand, supply and disaster characteristics to foster a generalized evacuation operational framework.

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Dasigi, Shalini. "An Integrated Approach Linking Land Use and Socioeconomic Characteristics for Improving Travel Demand Forecasting". University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427798330.

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Ballard, Lance Dale. "Human-scaled personal mobility device performance characteristics". Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45930.

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Today, numerous alternative modes of mobility are emerging to provide a solution to the problems created by the automobile. This research envisions a future where transportation in urban areas will be dominated by small personal mobility devices (PMDs) instead of automobiles. This Intelligent Mobility System (IMS) would be a car-free zone where people travel by a shared-system of PMDs providing levels of mobility greater than walking but less than a car. This research effort focuses on the operational aspects of this future system by studying PMD performance characteristics as inputs for a computer simulation model of an IMS environment. Therefore, the primary objective of this research is to evaluate the operations of PMDs that are currently used in a variety of settings. GPS recorders are used to log speed and location data each second of pedestrian, bicycle, Segway, and electric cart trips. Segway speed and acceleration are analyzed using three factors, sidewalk width, surface quality, and pedestrian density to study their effect on Segway speed. Pedestrians have the lowest mean speed and the most narrow speed distribution. Segways, bicycles and electric carts have increasingly faster mean speeds and wider speed distributions, respectively. Segways and bicycles were found to have similar acceleration distributions. Segways seem to provide a level of speed and mobility between that of pedestrians and cyclists, meaning that Segways might capture new users by providing a level of mobility and convenience previously unseen. Narrow sidewalk widths, poor sidewalk quality, and heavy pedestrian density all decreased Segway speeds. The researchers suspect that surface quality is likely an independent constraint for Segway speed and that sidewalk width and pedestrian density interact to limit Segway speeds under certain conditions. This research concludes that these external factors may affect PMD speed and should be considered when analyzing PMD mobility, especially in an IMS setting.
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Toomhirun, Sontichai. "Study of residential demand for electricity as functions of load control schemes and dwelling characteristics". Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/80046.

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Residential demand is a large and important factor of the utility load during the system peak period. And the control of residential demand can make a significant change to the system load of the utility. This research is designed to study the residential end-use appliances under various direct load control schemes. These appliances are water heaters, air conditioners, and space heaters which are the major electrical demand of the residential load. The study will apply the LOADSIM, an Electrical Power Research Institute (EPRI) load simulation program, to conduct load control strategies of these residential appliances. The LOADSIM program can be applied both for cycling and shedding control strategies during a specified control period. In this study, the cycling control is done on an air conditioner and space heater. The water heating control is performed under shedding strategy. The research has studied the appliance use of four house types under the same weather and control conditions. A total of 100,000 houses have been used in the study. These houses have the same dwelling and appliance characteristics but their house insulations are different. Diversity in house insulations gives different results in terms of load reduction and temperature change due to the load control. For example, a better-insulated house demands less electricity for its appliance than a low-insulated house. This study also uses the EPRl-LOADSIM program to estimate the load reduction and temperature change of each house type under the load control.
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Libros sobre el tema "Demand characteristics"

1

Reno, A. T. Characteristics of urban travel demand. Washington, D.C: National Academy Press, 2002.

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2

Scott, F. S. Characteristics of consumer demand for avocados in Honolulu. [Honolulu, Hawaii]: HITAHR, College of Tropical Agriculture and Human Resources, University of Hawaii, 1986.

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Coe, Manchester Alden. Data for food demand analysis: Availability, characteristics, options. Washington, DC (1301 New York Ave., NW, Washington 20005-4788): U.S. Dept. of Agriculture, Economic Research Service, 1990.

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Fouracre, P. R. Travel demand characteristics in three medium sized Indian cities. Crowthorne: Transport and Road Research Laboratory, 1987.

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Fouracre, P. R. Travel demand characteristics in three medium sized Indian cities. Crowthorne, Berks: Transport and Road Research Laboratory, Overseas Unit, 1987.

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Cheshire, Paul C. The structure of demand for housing, land, and neighbourhood characteristics. Reading: University of Reading, Department of Economics, 1992.

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Ellison, Sara Fisher. Characteristics of demand for pharmaceutical products: An examination of four cephalosporins. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1996.

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Benkard, C. Lanier. Demand estimation with heterogeneous consumers and unobserved product characteristics: A hedonic approach. Cambridge, MA: National Bureau of Economic Research, 2004.

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Benkard, C. Lanier. Demand estimation with heterogeneous consumers and unobserved product characteristics: A hedonic approach. Cambridge, Mass: National Bureau of Economic Research, 2004.

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Scott, F. S. Characteristics of consumer demand for fresh papayas in Los Angeles and Orange counties. Honolulu, Hawaii: HITAHR, College of Tropical Agriculture and Human Resources, University of Hawaii, 1986.

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Capítulos de libros sobre el tema "Demand characteristics"

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Orne, M. T. "Demand Characteristics". En Introducing Psychological Research, 395–401. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-24483-6_59.

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Demoussis, M. y P. Drakos. "Characteristics of Meat Demand in Greece". En Advances in Stochastic Modelling and Data Analysis, 159–67. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-017-0663-6_9.

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Otsuki, Tomoshi. "Demand Response Optimization Based on Building’s Characteristics". En Optimization in the Real World, 177–94. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55420-2_10.

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DeRosa, Nicole M. y Henry S. Roane. "Preference and Demand Characteristics of Reinforcement: Practical Extensions". En Autism Service Delivery, 307–25. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2656-5_11.

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Jansson, J. O. y D. Shneerson. "Characteristics of demand and supply of liner shipping". En Liner Shipping Economics, 3–34. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3147-3_1.

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Lambregts, Johannes A. D., Oral Capps y Wade L. Griffin. "Seasonal Demand Characteristics for U.S. Farm-Raised Catfish". En Aquaculture, 231–46. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429037795-16.

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Javanshour, Farid, Hussein Dia y Gordon Duncan. "Exploring System Characteristics of Autonomous Mobility On-Demand Systems Under Varying Travel Demand Patterns". En Intelligent Transport Systems for Everyone’s Mobility, 299–315. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7434-0_17.

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Belonax, Joseph J. y Joseph A. Bellizzi. "Demand Characteristics as Determinants of Behavior: An Unconscious Effect". En Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 20–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16976-7_5.

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Xiang, Rui y Meng Qin. "Female Audit Committee Member’s Characteristics and High Quality External Audit Demand". En Advances in Intelligent Systems and Computing, 857–70. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1837-4_71.

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Orne, Martin T. y Nancy K. Bauer-Manley. "Disorders of Self: Myths, Metaphors, and the Demand Characteristics of Treatment". En The Self: Interdisciplinary Approaches, 93–106. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4684-8264-5_5.

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Actas de conferencias sobre el tema "Demand characteristics"

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Li, Rui. "Demand Characteristics of Emergency Supplies and Demand Forecasting Model". En 2010 International Conference on Internet Technology and Applications (iTAP). IEEE, 2010. http://dx.doi.org/10.1109/itapp.2010.5566139.

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Zhao, Weixing, Qingyang Liao, Wei Xie, Zeyu Zou, Dongjie Xu y Wenze Liu. "CCHP Capacity Optimization with User Demand Characteristics". En 2018 International Conference on Power System Technology (POWERCON). IEEE, 2018. http://dx.doi.org/10.1109/powercon.2018.8602112.

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WangChengling, GuoPengpeng y ShuiYuan. "Analysis of characteristics of humanitarian supplies demand". En 2015 International Conference on Logistics, Informatics and Service Sciences (LISS). IEEE, 2015. http://dx.doi.org/10.1109/liss.2015.7369772.

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Chen, Jian, Lizy Kurian John y Dimitris Kaseridis. "Modeling program resource demand using inherent program characteristics". En the ACM SIGMETRICS joint international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1993744.1993746.

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Viegas, Joaquim L., Susana M. Vieira, Joao M. C. Sousa, R. Melicio y V. M. F. Mendes. "Electricity demand profile prediction based on household characteristics". En 2015 12th International Conference on the European Energy Market (EEM). IEEE, 2015. http://dx.doi.org/10.1109/eem.2015.7216746.

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AlKheder, Sharaf, Waleed Abdullah, Fahad Al-Rukaibi y Hussain Al Sayegh. "Demand Characteristics of the Newly Proposed Kuwait Metro". En International Conference on Transportation and Development 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784483176.009.

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Ali, Reem Y., Yan Li, Shashi Shekhar, Shounak Athavale y Eric Marsman. "Supply and Demand Aware Synthetic Data Generation for On-demand Traffic with Real-world Characteristics". En SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3151547.3151554.

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Okamoto, Masayuki, Shigeru Morimoto, Masataka Ohashi y Kenko Uchida. "Automobile on-demand gear-shift control including driver characteristics". En Control (MSC). IEEE, 2010. http://dx.doi.org/10.1109/cca.2010.5611128.

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Weiji Han, Li Zhang y Jidong Liu. "Demand response model for characteristics analysis of electricity consumers". En 2012 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). IEEE, 2012. http://dx.doi.org/10.1109/isgt-asia.2012.6303328.

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"Time on Market and Demand for Real Estate (Characteristics)". En 20th Annual European Real Estate Society Conference: ERES Conference 2013. ÖKK-Editions, Vienna, 2013. http://dx.doi.org/10.15396/eres2013_237.

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Informes sobre el tema "Demand characteristics"

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Francfort, Jim. Characterize the Demand and Energy Characteristics of Direct Current Fast Chargers. Office of Scientific and Technical Information (OSTI), junio de 2015. http://dx.doi.org/10.2172/1483582.

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Francfort, Jim. Characterize the Demand and Energy Characteristics of Residential Electric Vehicle Supply Equipment. Office of Scientific and Technical Information (OSTI), junio de 2018. http://dx.doi.org/10.2172/1483581.

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Benkard, C. Lanier y Patrick Bajari. Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach. Cambridge, MA: National Bureau of Economic Research, febrero de 2004. http://dx.doi.org/10.3386/w10278.

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Bajari, Patrick y C. Lanier Benkard. Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach. Cambridge, MA: National Bureau of Economic Research, julio de 2001. http://dx.doi.org/10.3386/t0272.

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Kim, Jung-Wook, Jason Lee y Randall Morck. Characteristics of Observed Limit Order Demand and Supply Schedules for Individual Stocks. Cambridge, MA: National Bureau of Economic Research, febrero de 2009. http://dx.doi.org/10.3386/w14733.

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Heyes, Anthony y John List. Supply and Demand for Discrimination: Strategic Revelation of Own Characteristics in a Trust Game. Cambridge, MA: National Bureau of Economic Research, febrero de 2016. http://dx.doi.org/10.3386/w21953.

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Author, Not Given. Demand and Energy Characteristics of Non-Residential Alternating Current Level 2 Electric Vehicle Supply Equipment. Office of Scientific and Technical Information (OSTI), junio de 2015. http://dx.doi.org/10.2172/1483601.

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Glatt, Sandy. Summary of Characteristics and Energy Efficiency Demand-side Management Programs in the Southeastern United States. Office of Scientific and Technical Information (OSTI), abril de 2010. http://dx.doi.org/10.2172/1218826.

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Kim, Joseph J., Samuel Dominguez y Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, octubre de 2020. http://dx.doi.org/10.31979/mti.2020.1931.

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This study evaluates the demand for truck-only toll lanes on Southern California freeways with owner–operator truck drivers. The study implemented the stated preference survey method to estimate the value placed by drivers on time, reliability, and safety measures using various scenarios geared towards assessing those values. The project team met face-to-face with owner- operator truck drivers near the Ports of Los Angeles and Long Beach to understand the drivers’ perspectives regarding truck-only toll lanes on Southern California freeways. A data set containing 31 survey responses is obtained and used for statistical data analysis using analysis of variable (ANOVA) and two sample t-tests. The analysis results showed that 75.27% of the owner– operator truck drivers responded are willing to pay toll fees when they choose routes. The tolerated average toll fees are $13.77/ hr and $12.82/hr for weekdays and weekends, respectively. The analysis results also showed that owner–operator truck drivers will take truck-only toll lanes when they take the routes used in four comparisons out of six comparisons according to the three measures such as values of time, reliability, and safety, despite sharing a common origin and destination. The highest toll fee per mile on any day that drivers are willing to pay when the main factor being compared is value of time is $0.31/mile or $18.35/hr. The toll fees associated with reliability and safety measures are $0.30/mile or $8.94/hr and $0.22/mile or $11.01/hr, respectively. These results are meaningful for legislators and transportation agencies as the behaviors and route choice characteristics of owner–operator truck drivers help them better understand the utility and demand for truck-only toll lanes.
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Bedoya-Maya, Felipe, Lynn Scholl, Orlando Sabogal-Cardona y Daniel Oviedo. Who uses Transport Network Companies?: Characterization of Demand and its Relationship with Public Transit in Medellín. Inter-American Development Bank, septiembre de 2021. http://dx.doi.org/10.18235/0003621.

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Transport Network Companies (TNCs) have become a popular alternative for mobility due to their ability to provide on-demand flexible mobility services. By offering smartphone-based, ride-hailing services capable of satisfying specific travel needs, these modes have transformed urban mobility worldwide. However, to-date, few studies have examined the impacts in the Latin American context. This analysis is a critical first step in developing policies to promote efficient and sustainable transport systems in the Latin-American region. This research examines the factors affecting the adoption of on-demand ride services in Medellín, Colombia. It also explores whether these are substituting or competing with public transit. First, it provides a descriptive analysis in which we relate the usage of platform-based services with neighborhood characteristics, socioeconomic information of individuals and families, and trip-level details. Next, factors contributing to the election of platform-based services modeled using discrete choice models. The results show that wealthy and highly educated families with low vehicle availability are more likely to use TNCs compared to other groups in Medellín. Evidence also points at gender effects, with being female significantly increasing the probability of using a TNC service. Finally, we observe both transit complementary and substitution patterns of use, depending on the context and by whom the service is requested.
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