Journal articles on the topic 'Automobile parking – Planning'

Parking has long been recognized as a major land use problem in campus planning. Anyone who drives an automobile appreciates the difficulties of finding a parking space in areas of intense academic, administrative, student residential, and recreational activities. This shortage of parking spaces near activity centers has worsened as automobile ownership and registration on campus have increased. The problem is more pronounced and the solution more critical on large urban campuses located in or at the periphery of the central business district. An approach to solving the chronic and prevalent parking problem in the campus environment is addressed. An institution-based and evaluative model is introduced as a tool to determine how best to use existing land in the competitive and oftentimes policy-driven university campus environment. Practical solutions that will assist in the proper planning and design of campus parking spaces and facilities are also developed. The optimization model design takes into account the major operational and site characteristics, as well as parameters that traffic engineers and planners consider conducive to optimal parking. The model will help traffic engineers, campus planners, and university administrators maximize land on the university campus. It will also answer the question of what principles should be adopted in the proper planning of facilities for the vehicle at rest within the context of a diminishing campus environment in general and inadequate funding for facilities renewal and maintenance in particular.

With the intelligent development of automobile driving, automatic parking technology is widely concerned by relevant technicians at home and abroad. Automatic parking technology is a method that can realize automatic parking in and out of parking Spaces without manual intervention. At present, automatic parking system has been equipped and used in many models, but there are many problems such as low parking accuracy and unable to effectively identify irregular parking Spaces. In order to solve the above problems, this article is based on a cloud platform developed a driverless car parking method, through the cloud server, GPS (Global Positioning System) and inertial navigation. It can according to the parking information and real-time Positioning planning adjustment path of the vehicle, and controls the complete vehicle posture adjustment, so as to improve the accuracy of parking and parking intelligent identification accuracy and ensure the safety and efficiency in the process of path planning. The effectiveness of the method is verified by simulation experiments with MATLAB software, which can be demonstrated by data.

In view of more and more complicate driving and parking problems in urban traffic, the parking guidance system are proposed based on a double signal double display intersection vehicle terminal. The system is based on the information interaction between intelligent terminal, vehicle terminal and vehicle of internet, and to introduce the space maze module and automobile internal information, by simulation maze module planning the different target route and its navigation through the intelligent terminal screen, at the same time instant maze module choice and determine the real-time path navigation through the on-board navigator screen, and to improve the accuracy of target navigation. The system will be the target route and real-time route through their channel respectively on the intelligent terminal and vehicle navigation cross presentation, realize the whole process of target parking navigation, or real-time navigation guidance section step by step according to the real-time parking lots, and in order to improve the parking navigation accuracy to provide an effective means of technology.

Internet of things (IoT) infrastructures are rapidly expanding, which will lead to an unanticipated rise in demand for smart cities. The concept of a "smart city" has recently gained traction in urban planning circles. An IoT based smart parking system is the focus of this article, and it allows a motorist to locate a car park and an available parking space in an indoor metropolis, all from the comfort of their own vehicle. Additional efforts are made to reduce the time spent defining parking zones. Reduced fuel use helps to cut down on pollution, as well as avoid needless travel through congested parking lots, which can help to reduce unlawful parking and alleviate traffic congestion in the city we all live in. These innovations include automobile particular identification via radio frequency identification (RFID) tags, unoccupied slot detection through the use of ultrasonic sensors, and cost calculating based largely on parking duration. The technology we've used is unique in that it runs on separate parts of the system for the hardware and the software.

Millions of people in the United States travel by personal automobile to attend professional sports matches played at various stadiums. Engineering and planning publications lack information on parking provisions for major sporting events. The results from this paper on parking outcomes suggest that the current parking provisions are not efficient. This case study examines parking supply, parking utilization, event auto occupancy, and event auto modal share at four major professional sports venues in the Denver, Colorado, region. The percentage of parking supply per parking demand was calculated for several surveyed games in terms of the average attendance, and parking utilization was evaluated during nonevent periods. In general, the surveys of the games indicated that more parking was provided than was necessary, even when attendance was higher than typical. For an event with average attendance, parking utilization was as low as 65%, with 2.2 persons per vehicle. In contrast, when parking occupancy was high, auto occupancy increased to 3.0 persons per vehicle. With such different carpool rates, as well as evidence suggesting that spectators who travel to some facilities are willing to park and walk farther than a half-mile, the results suggest that parking supply and travel behavior are endogenous and should not be treated independently. This study also considered parking occupancy at nonevent times and found whole-scale underutilization, even in downtown locations with great opportunity costs.

With the rapid increase of motorization in China, transitions have taken place in regards to traditional private transportation modes. This paper aims to understand four types of vehicle ownership within a household, including automobile, motorcycle, electric bicycle and human-powered bicycle. This study presents a cross-sectional multivariate ordered probit model, with a composite marginal likelihood estimation approach that accommodates the effects of explanatory variables, and capturing the dependence among the propensity to household vehicle ownership. The sample data are obtained from the residents’ household travel survey of Xiaoshan District, Hangzhou, in 2015, which can analyze the significant effects of sociodemographic attributes and built environment attributes. Interestingly, the major findings suggest that: (1) The households with higher income tend to own more automobiles, yet the effect is not obvious with a small value of elasticity, which is similar to developed countries. (2) The household education level, which takes a positive effect on automobile ownership, is a more elastic factor than income. (3) The higher population density contributes to less ownership of automobiles and motorcycles, due to traffic congestions and parking challenges. (4) There is a large substitutive relation between automobile and electric bicycle/motorcycle, and the vehicle ownership of electric bicycle/motorcycle and bicycle are mutually promoted, while motorcycle and electric-bicycle are mutually substituted.

An excellent parking system can affect the willingness of the elderly to drive an automobile for travel and for participating in social activities. However, few studies have examined the requirement of width of current parking spaces for the elderly and which factors influenced the selection of wider or narrower parking space by older participants. Two studies have been carried out in order to fill gaps for these issues. The first one examined minimum width by having 130 individuals aged 60+ alight into parking spaces of different widths. The results showed that most older individuals needed wider-than-standard parking spaces. Some potential demographic factors were also examined by one-way analyses of variance. The second study was conducted to estimate the factors affecting selection of parking spaces that were wider or narrower than the standard. Based on analysis of data by a logistic regression model, the result presented that the selection was mainly affected by age, types of aids, driving experience, body mass index (BMI) and health condition. Finally, we propose a new concept of parking system, which will help older people with different needs to park safely and smoothly. These studies will promote the ability of governments to design more effective parking spaces to enhance freedom for older adults.

Transit-oriented development is shown to produce an appreciable ridership bonus in California. This is partly due to residential self-selection—that is, a lifestyle preference for transit-oriented living—as well as factors like employer-based policies that reduce free parking and automobile subsidies. Half-mile catchments of station areas appear to be indifference zones in the sense that residents generally ride transit regardless of local urban design attributes. Out-of-neighborhood attributes, like job accessibility and street connectivity at the destination, on the other hand, have a significant bearing on transit usage among station-area residents. The presence of self-selection, shown using nested logit modeling, underscores the importance of removing barriers to residential mobility so that households are able to sort themselves, via the marketplace, to locations well served by transit. Market-responsive zoning, flexible residential parking policies, location efficient mortgages, and adaptive reuse of parking lots are also promising tools for expanding the supply of transit-based housing.

In recent years, with the rapid development of China’s automobile industry, the number of vehicles in China has been increasing steadily. Vehicles represent a convenient mode of travel, but the growth rate of the number of urban motor vehicles far exceeds the construction rate of parking facilities. The continuous improvement of parking allocation methods has always been key for ensuring sustainable city management. Thus, developing an efficient and dynamic parking distribution algorithm will be an important breakthrough to alleviate the urban parking shortage problem. However, the existing parking distribution models do not adequately consider the influence of real-time changes in parking demand and supply on parking space assignment. Therefore, this study proposed a method for dynamic parking allocation using parking demand predictions and a predictive control method. A neural-network-based dynamic parking distribution model was developed considering seven influencing factors: driving duration, walking distance, parking fee, traffic congestion, possibility of finding a parking space in the target parking lot and adjacent parking lot, and parking satisfaction degree. Considering whether the parking spaces in the targeted parking lots are shared or not, two allocation modes—sharing mode and non-sharing mode—were proposed and embedded into the model. At the experimental stage, a simulation case and a real-time case were performed to evaluate the developed models. The experimental results show that the dynamic parking distribution model based on neural networks can not only allocate parking spaces in real time but also improve the utilisation rate of different types of parking spaces. The performance score of the dynamic parking distribution model for a time interval of 2–20 min was maintained above 80%. In addition, the distribution performance of the sharing mode was better than that of the non-sharing mode and contributed to a better overall effectiveness. This model can effectively improve the utilisation rate of resources and the uniformity of distribution and can reduce the failure rate of parking; thus, it significantly contributes to more smart and sustainable urban parking management.

Objective: To analyze the efficiency of building multilevel automated garages on transfer nodes, to reveal problems, connected with normative-technical control of automated parking design. Methods: The comparison of fixed and variable costs on construction and maintenance of different types of multilevel parking – automated and ramp, built-in and detached, underground and located at ground level, consideration of foreign and long-term domestic experience of multilevel parking lots in transfer hubs. Results: The value of transfer hubs in the system of urban and passenger transport was discovered as well as, classification of transfer hubs was specified, from the viewpoint of urban planning, the emphasis was made on the significance of proper arrangement on the territory of transfer hubs, taking into account space economy principle and whether the transfer hub harmoniously fits into urban environment, the spheres of application of different types of car-parks were specified, the advantages of automated car-parks over the conventional flat and multilevel ramp car-parks were revealed, the analysis of costs on construction and maintenance of different multilevel car-parks was carried out, the conclusions were made on the use of automated car-parks in the conditions of transfer hubs, functional area of automated car-parks in transfer hubs was presented as well as the documents, reflecting the normativetechnical control of automated parking design, recommendations were given on implementation of automated parking construction technology in Russia. Practical importance: The obtained conclusions may be applied in the design of transfer hubs in the cities of Russia, especially in restrained urban conditions. The given normative-technical control documents will make it possible to improve automobile parking convenience. Propagation of mechanization and application of intelligence systems in parking facilities will provide considerable economic benefit.

Central Business Districts (CBDs) in developing countries continue to experience adverse effects of automobile dominance but most car-free initiatives are concentrated in developed countries. This study evaluates the significance of car-free streets in developing countries by evaluating perceptions of street users and the priorities of key decision makers in Nairobi, Kenya. Based on structured interviews, the results indicate differences in perceptions towards safety comfort and connectivity in varying traffic conditions. From in-depth interviews, it is clear that decision makers have focused on smooth flow and parking of automobiles, order, and security of adjacent premises while side-lining the affairs of pedestrians.Keywords: Car-free; pedestrians; livability; StreeteISSN 2398-4295 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

This paper investigates major characteristics of Tehran’s urban growth structure, how various land use factors such as “density”, “diversity”, “design” and “accessibility” affect travel behavior, population growth and land use development, and future travel demands. Tehran city is currently developing in ways that are likely to increase sprawl and automobile-dependency, which increase problems including traffic and parking congestion, consumer costs, traffic accidents, pollution emissions and inadequate mobility for non-drivers. This analysis indicates that the growth management policies in Tehran’s Comprehensive Plan can significantly reduce vehicle travel and associated problems, resulting in a more sustainable urban development path. This information is useful for evaluating the ability of policies such as Smart Growth, New Urbanism and Accessibility Management to help achieve transport-land use planning objectives.

The density and pattern of urban parks, traffic conditions are the main factors affecting urban park accessibility. To clarify the influence of traffic mode and urban road network on urban park accessibility, we examine downtown area of Nanjing, China, and based on GIS network analysis, analyze urban park accessibility under different traffic modes in the current year (2017) and the Nanjing master planning target year (2030). The results shows: Using automobiles takes the shortest time to get to urban parks in 2017 and 2030 (if the problem of parking is ignored). Comparing the results of 2030 and 2017, by when the ground transportation network in the study area will be further improved, urban park accessibility was improved by a small margin under walking and automobile traffic modes, however, the density of rail traits increased fastest, urban park accessibility is improved most under this mode of transportation, rail transit route development becomes the dominant factor in improving park accessibility in downtown area of Nanjing. To a certain extent, this study reveals the leading factors of improving the accessibility of urban parks on the premise that the system of urban parks tends to be stable, and provides a reference for improving urban park accessibility.

In this paper, a set of double-log multiple regression models is developed to examine the monthly tunnel traffic of six major toll tunnels in Hong Kong for a 22-year period from January 1979 to September 2000. Despite the much lower percentage of households with cars (12.3%) and the higher dependence of passenger trips on public transport (80.2%), the estimated automobile elasticities in Hong Kong are remarkably similar to those reported in New York, where car ownership is high and the automobile is the dominant mode of transport. The empirical elasticity range in Hong Kong is from —0.103 to —0.291. This is similar to estimates for the United States (—0.13 to —0.45), the United Kingdom (—0.14 to —0.36), and Australia (—0.09 to —0.52). The findings suggest that toll increases are likely to be effective in raising revenue for tunnel management authorities but ineffective in reducing or reallocating automobile traffic for transport planning purposes. Policywise, suburbanization or the redistribution of population could have a much stronger influence on the urban transport market than a ‘multifaceted pricing’ strategy of raising the total costs of vehicle ownership and usage (including high vehicle-registration fees, parking, and gasoline prices). Moreover, improvements to railway connectivity and enhancement of travel speed on public transit could be much more effective than toll increases in relieving urban transport congestion problems at critical bottlenecks, such as downtown and suburb–downtown tunnels and bridges. The inclusion of lagged effects into the analysis further strengthens the above policy recommendations.

In 1992 the Yosemite Area Regional Transportation Strategy (YARTS) group began meeting to discuss access and transportation needs of visitors to the Yosemite region. The group included representatives of the five rural counties surrounding Yosemite National Park, the National Park Service, the state department of transportation, and eventually the U.S. Forest Service and other state and federal agencies. Urgency increased after the park instituted a program of gate closures to address congestion and parking problems within Yosemite Valley. Although the closures lasted only a matter of hours, the impact was felt for months to come as visitors changed their plans in the face of potential closures. Two years later, a flood permanently removed infrastructure within the park, including parking spaces and camping sites, making access from the surrounding communities even more critical. After 8 years of planning, YARTS has implemented the first regional transit service ever focused on the 4 million annual visitors to Yosemite. The 2-year demonstration service plan is not intended to replace automobile access to the park but rather to provide an alternative mode of access. The plan is creating a unique partnership between YARTS and private vendors who will provide the service and assume much of the start-up risk. The plan provides a working outline of the service, including anticipated service levels and fares. All of these plan highlights are discussed, along with a history of the YARTS organization, which describes the technical and political challenges to implementation.

Several Indian metropolitan cities are willing to adopt and explore various methods to implement transit-oriented development (TOD) around their transit stations to reverse the ongoing trend of automobile-oriented urbanization. Implementation of development-based Land value capture (LVC) schemes in emerging middle-income countries asks to understand and adapt to locally-specific favorable macro conditions such as rising real-estate incomes, increasing automobile dependency, and traffic congestion which all together endow to appreciate land values near transit stations or corridors. This paper identifies enabling TOD linked factors and indicators to measure them besides transit investment that may influence Development-based LVC mechanism and TOD based investment in transit station areas or corridors. To achieve the desired study goal, this study identified 13 indicators directly related with six TOD dimensions to evaluate Indian TOD policies formulated at various levels. By doing so, it will determine new innovative funding opportunities available to implement and integrate lacking land-use and transit planning mechanisms and proposing a land-value capture strategy with lacking a clear framework for Indian cities. The study revealed that population densities, particularly employment densities, length of blocks and intersection intensities, electric charging stations, multimodal integration and smart apps provision are largely lacking in the most Indian TOD policies framed. The current ongoing TOD policy formulation is only limited to increase densification by permitting higher than permissible Floor Area Ratio (FAR), providing parking facility and its management, and allowing land-use mix.

This paper presents a qualitative study on automobile users’ response pattern to assess the provided transportation service quality under heterogeneous traffic flow conditions. An Automobile Users’ Satisfaction index (AUSi) is established using data sets of questionnaire survey collected from 34 urban street segments of three midsized Indian cities. About 977 respondents with a suitable cross-section of gender, age, driving experience etc. were participated in travellers’ intercept survey. Rasch Model (RM) was applied to identify a set of quantitative measures to analyse the complex process of measuring perceived service quality and degree of drivers’ satisfaction together. The present study comprehends the multidimensional nature of users’ perception to evaluate AUSi with the help of six-dimensional variables such as roadway geometry, traffic facilities, traffic management, pavement condition, safety and aesthetics. RM offers a particular score to each user and each dimensional attribute along with a shared continuum. This way, the attributes those are more demanding to produce satisfaction as well as the variation in response of different modes of transport are evidently identified. The key findings indicate that the participants reported lower satisfaction level mainly due to the absence of separate bike/bus pull-out lanes, improper parking facilities and interruption by non-motorised vehicles/public transit or roadside commercial activities. Fuzzy C-Means (FCM) clustering was applied to classify AUSi scores into six auto Levels Of Service (LOS) categories (A–F) for each street segment. The model was well validated with a significant matching of predicted Automobile users’ LOS (ALOS) service categories with the users’ perceived Overall Satisfaction (OS) scores for fourteen randomly selected segments. This prediction model is new to mixed traffic flow condition, which uses linguistic information and real-life issues of drivers for the current state of services. Hence, the proposed method would be more credible than conventional models to support the decision makers for long term planning and designing road networks on a priority basis

The problem of collisions on local roads has received little specific attention despite the considerable number of such collisions that occur each year. First part of this study identifies the factors that influence local road collision frequency at traffic analysis zone (TAZ) level with a particular focus on the planning and policy related variables. The City of Calgary is used as a case study, where we focus on the impacts of land use, demographic characteristics, and travel characteristics. We also investigate the effects of some key transportation planning parameters for which there have been very limited studies, including the number of personal and commercial trips and the employment numbers in various categories. This study examines the impact of the number of trips made by automobile versus more sustainable transport modes like transit, walking, and biking for personal travel. It also examines the impact of commercial truck movement on the number of collisions on local roads in a TAZ. The impact of transit-oriented development zone initiatives is explored, as is the relationship between the predominant land use type (e.g., residential, commercial, industrial) and the number of collisions on local roads. In the second part, collision prediction models were linked with regional transportation model (RTM), which is calibrated and modeled in EMME. Since the choice of transportation mode is explicitly modeled through utility functions in the RTM, the proposed approach will allow us to do scenario analysis for planning and policy level issues proactively such as impact on local collisions due to change in fuel price, parking cost, transit headway, and transit fare. Results showed that property damage only (PDO) and fatal and injury (FI) collisions decreased by 13% and 6%, respectively, when fuel price was doubled. It was also observed that PDO and FI collisions decreased by 8% and 5%, respectively, when parking cost was doubled. PDO and FI collisions decreased by 7% and 4%, respectively, when transit headway was reduced to half. When transit fare was reduced to half, PDO and FI collisions decreased by 5% and 2%, respectively. PDO and FI collisions decreased by 10% and 5%, respectively, when transit fare was set to zero. These scenario analyses demonstrate how the impact of transportation planning or policy level issues on the collision count on local roads can be incorporated in our proposed model.

Intelligent transport systems (ITS), a combination of IT(Information Technology) and TS (Transport Systems), solves problems such as accidents and congestion, lessening environmental impact and conserving energy. As conventional solutions to traffic issues became less and less effective, high-tech solutions have been sought. Preceding the term ITS, coined in 1994, were road transport informatics (RTI), advanced transport telematics (AT), and intelligent vehicle-highway systems (IVHS). In the mid-1980s, large ITS projects started in Europe, the US, and Japan, but the use of high-tech solutions emerged in the 1950s. As indicated above, ITS includes systems covering passenger-car safety and freight management, supported by a wide range of technologies including sensing, control, communications, and human factors. This special issue on ITS focuses on ITS technologies that share similarities with robotics and mechatronics. The papers in this issue are classed into sensing, control, simulation, and electric vehicles. Papers in sensing deal with the application of vehicle localization in automated driving, 3-dimensional localization with corner cubes and laser radar, vision-based passage detection, and night-time obstacle detection with machine vision. The technology presented in these papers is expected to play an important role in robotics and mechatronics. The 4 control papers include an overview on control algorithms for automated driving and 3 papers on control algorithms for lateral control, lane changing, and parking assistance. The major difference between mobile robots and automobiles is that, due to speed, the behavior of mobile robots can be described with kinematics, but that of automobiles must be described with dynamics. Nevertheless, control algorithms for automated automobiles are insightful in robotics. Simulation technologies are essential in ITS to present virtually situations difficult or not possible to realize in the real world. One paper deals with a driving simulator and the other with automobile traffic. The last area in this ITS issue is electric vehicles. Their handicaps can be overcome by ITS, leading to new road transport. The paper on electric vehicles introduces an experimental electric vehicle both educational and informative to readers planning electric vehicles to conduct experiments involving ITS. We thank those on the JSME Research Committee 179 for cooperation between human and systems in ITS for reviewing submitted papers.

Vehicle parking standards are related exclusively to parking in connection with: planning, construction, development and/or extension and change of use of the existing developments. On the other hand, vehicle parking standards are the key measure for managing the level of traffic and they should be an integral part of the urban transport policy. This would allow the parking standards to be applied also to the land use management in accordance with accessibility to the urban zones by means of travel other than by car. This implies that in the course of producing vehicle parking standards the level of parking restrictions is to be defined depending on the Public Transport Accessibility Level. If Public Transport Accessibility Level of a zone the subject development belongs to is high, the number of parking spaces to be provided is restricted and customers are encouraged to shift to alternative transport modes. Thus defined parking standards assist in the development of sustainable transport system. This paper will present the methodology for calculation of parking standards depending on the accessibility of the zone the subject development is located within. Santrauka Transporto priemonių stovėjimo vietų standartai numato naujų automobilių aikštelių planavimą ir statybą, esamų statinių išplėtimą ar pakeitimą. Kita vertus, automobilių aikštelių standartai yra pagrindinė priemonė, padedanti valdyti transporto srauto lygi. Jie tūretų būti neatsiejami nuo miesto transporto politikos. Tai leistų įvairias miesto zonas vykti ne automobiliais. Tai reiškia, kad automobilių aikštelių apribojimai turi būti suderinti su miesto viešojo transporto sistema. Jei viešojo transporto prieinamumo lygis konkrečioje miesto zonoje yra aukštas, automobiliu aikšteliu skaičius turi būti ribojamas, o miestiečiai turi būti skatinami naudotis alternatyviomis transporto rūšimis. Taip automobilių aikštelių standartai padeda pletoti darnia transporto sistema. Šiame straipsnyje pateikiama automobilių aikštelių skaičiavimo metodologija, įvertinanti atskirų miesto zonų pasiekiamumą.

Regional commuter rail has become an important means of traveling to urban employment centers across North America, but planners are faced with the challenge of connecting commuters from their origin or destination locations to a train station. Cycling may be an efficient and low-cost way of taking these transit-access trips. However, cycling behavior of rail commuters, particularly in a suburban context, remains understudied. This research examined perceptions of cycling and current cycling behavior of 257 transit users from three suburban commuter rail stations in the Toronto region, Canada. Using a cluster analysis approach, four distinct cyclist types were identified, namely: recreational cyclists (29%), all-purpose cyclists (10%), safety-conscious occasional cyclists (33%), and facility-demanding occasional cyclists (28%). Differences between these groups included different mode-choice motivations, tolerance for adverse weather conditions, comfort bicycling in various hypothetical traffic/infrastructure conditions, and current frequency of cycling for transportation and recreational purposes. The safety-conscious group included a higher percentage of women compared to other groups. Overall, 32.5% of regional transit users would be interested in cycling more often to rail stations. A higher proportion of recreational cyclists (compared to other groups) were “interested first-mile cyclists”, whereas the safety-conscious group had a significantly greater proportion of “uninterested” respondents. With careful planning of bicycle infrastructure and awareness campaigns targeting perceptions of cycling, there is much potential for cycling to accommodate a greater proportion of transit-access trips in suburban communities, reducing demand for automobile parking at transit stations.

This paper examines the association between the built environment (BE) and travel behavior in Hanoi, Vietnam. A multinomial logit model is used to analyze individuals’ choice of travel mode from a dataset collected via a questionnaire-based household travel survey in 2016 and the geospatial data of BE variables; the dataset contains 762 responses from local residents in ten districts of the Hanoi Metropolitan Area about their daily travel episodes. It also examines a spatial aggregation effect by comparing model performances among four buffering distances and ward-zones. The results showed that (1) a higher population density around an individual’s home is associated with more bus use and less motorbike and car use; (2) mixed land use around the home, average tax revenue near the home, and bus frequency at the workplace have positive relationships with bus ridership; (3) senior people, students, or unskilled laborers tend to use the bus; (4) the spatial aggregation bias significantly affects the estimation results; and (5) new immigrants tend to choose to reside in areas designed for automobile users. Finally, there are several policy implications for transit-oriented development (TOD) in Hanoi, including: (1) parking regulations and/or control strategies should be jointly incorporated into the Hanoi’s TOD policy; (2) Hanoi’s TOD policy should be carefully designed in terms of its scope of development site and type; and (3) a polycentric structure strategy only may not be sufficient for increasing public transit ridership.

One of the solutions suggested for mitigating the detrimental effect of motor vehicles on society is to implement transit-oriented development (TOD). This type of development is intended to reduce automobile use and urban sprawl as well as to provide communities with more socially, environmentally, and economically sustainable neighborhoods that offer a variety of mobility choices. This study attempted to find out whether new residents adopted more sustainable modes of transportation after their relocation to a TOD. The analysis determined which factors influenced travel mode switching decisions by specifying a multilevel multinomial logistic regression model. Data for the analysis were drawn from a travel behavior survey conducted on residents in seven North American TODs in 2013. The results showed that newcomers adopted more sustainable travel modes for amenities and leisure trips after they relocated to a TOD but that they were less likely to do so for work and shopping trips. To encourage more sustainable travel modes, the study findings suggested that transit incentives coupled with workplace parking charges needed to be considered. Factors that were found to increase the probability that new TOD residents would switch to a more sustainable mode of transportation included their awareness of the environmental impact of each travel mode, the ease with which it was possible to walk through the neighborhood and to various destinations, and the proximity to transit stops. However, larger household size, homeownership, and the addition of a new car had negative impacts. The findings provided new insights into TOD planning and its link to travel behavior; these insights could benefit planners, engineers, and policy makers who have adopted the TOD approach to development with the goal of mitigating car usage.

Low-carbon transport system is desired for sustainable cities. The study aims to compare carbon footprint of two transportation modes in campus transit, bus and bike-share systems, using life-cycle assessment (LCA). A case study was conducted for the four-campus (College Ave, Cook/Douglass, Busch, Livingston) transit system at Rutgers University (New Brunswick, NJ). The life-cycle of two systems were disaggregated into four stages, namely, raw material acquisition and manufacture, transportation, operation and maintenance, and end-of-life. Three uncertain factors—fossil fuel type, number of bikes provided, and bus ridership—were set as variables for sensitivity analysis. Normalization method was used in two impact categories to analyze and compare environmental impacts. The results show that the majority of CO2 emission and energy consumption comes from the raw material stage (extraction and upstream production) of the bike-share system and the operation stage of the campus bus system. The CO2 emission and energy consumption of the current campus bus system are 46 and 13 times of that of the proposed bike-share system, respectively. Three uncertain factors can influence the results: (1) biodiesel can significantly reduce CO2 emission and energy consumption of the current campus bus system; (2) the increased number of bikes increases CO2 emission of the bike-share system; (3) the increase of bus ridership may result in similar impact between two systems. Finally, an alternative hybrid transit system is proposed that uses campus buses to connect four campuses and creates a bike-share system to satisfy travel demands within each campus. The hybrid system reaches the most environmentally friendly state when 70% passenger-miles provided by campus bus and 30% by bike-share system. Further research is needed to consider the uncertainty of biking behavior and travel choice in LCA. Applicable recommendations include increasing ridership of campus buses and building a bike-share in campus to support the current campus bus system. Other strategies such as increasing parking fees and improving biking environment can also be implemented to reduce automobile usage and encourage biking behavior.

An increasing number of automobiles have led to a serious shortage of parking spaces and a serious imbalance of parking supply and demand. The best way to solve these problems is to achieve the reasonable planning and classify management of car parks, guide the intelligent parking, and then promote its marketization and industrialization. Therefore, we aim to adopt clustering method to classify car parks. Owing to the time series characteristics of car park data, a time series clustering framework, including preprocessing, distance measurement, clustering and evaluation, is first developed for classifying car parks. Then, in view of the randomness of existing clustering models, a new time series clustering model based on dynamic time warping (DTW) is proposed, which contains distance radius calculation, obtaining density of the neighbor area, k centers initialization, and clustering. Finally, some UCR datasets and data of 27 car parks are employed to evaluate the performance of the models and results show that the proposed model performs obviously better results than those clustering models based on Euclidean distance (ED) and traditional clustering models based on DTW.

Both academics and practitioners concur that parking restraints should be actively introduced in urban centers and job-intensive areas, to prevent overdependence on automobiles. Many Chinese metropolises have reduced the level of parking minimums for non-residential premises in central and transit-rich areas. However, there is a lack of research examining the effectiveness of these policies. Taking Shenzhen as a case study, this paper compares the parking supply with the parking minimums at each policy period, and analyzes the spatial characteristics of parking provision for office use. The descriptive analysis found that the effects of minimum parking requirements (MPRs) on parking provision vary by floor area ratio (FAR), operation period, and transit accessibility. By conducting a geographical weighted regression (GWR) model, this paper further examines the spatially varying effects of the built environment on parking provision. The modeling results conclude that the significance and strength of the effects of built environments on parking provision vary across space. (1) The total parking quantity increases with the growth of the FAR, and this increasing effect is larger in suburban areas than in the city proper. (2) Lot size has a positive relationship with parking provision, and the effects are stronger in areas with higher parking demand. (3) Transit accessibility has inconsistent associations with parking provision at different locations, in terms of the direction and strength of the influence. These results provide relevant insights into the development of context-specific parking policies in the high-density contexts of China’s large cities.

Abstract Transportation management and sustainable transportation planning were critical. A well-planned transportation system is extremely beneficial in terms of efficiency and environmental friendliness. To that end, parking charging was one of the transportation management topics covered in this study. A parking charging system is one in which a user can leave their vehicle at a particular place and pay a price based on the amount of time it was left unattended. Given the rising use of private vehicles, which has resulted in an increase in congestion and air pollution, it is believed that a parking fee system can be implemented to alleviate the situation. The primary purpose of this research is to develop a transportation model based on the parking price factor in Ringgit Malaysia (RM). At the completion of the study, a transportation model based on parking rates will be developed, and it is projected that once implemented, the percentage of private vehicles that use public transportation will increase. This model is deemed necessary in order to mitigate the harmful effect of an excessive number of private vehicles at UMS. The State Preference Survey (SPS) method was used. A questionnaire form was developed and distributed online to 300 respondents among the students of the Faculty of Engineering at UMS, in order to collect the required data. The data collected was then analyzed using linear regression to develop several transportation logistic models. The transportation models that have been developed in the form of a logistic model that can reflect the willingness of UMS students to shift from private vehicles to public transport. These models predict that when the parking price increases, the percentage shift of private vehicles to public transport will increase linearly. It is also found that 100% of drivers are willing to shift from private vehicles to public transport if the parking price per hour is RM 4.00. Shifting private vehicle users to public transportation may assist lower the number of private vehicles on the road and thus indirectly help mitigate the negative consequences of an excess of private automobiles.

Bus rapid transit (BRT) system is a sustainable mode choice alternative and traffic management method for traffic congestion problems in urban areas. As an extent of total demand management, BRT has broadly been implemented in many countries. BRT has proven to be progressive in alleviating traffic congestion and the difficulty of finding parking spaces in city centers. Currently, people driving their automobiles to work cause traffic congestion along Karachi’s main corridors. People cannot be persuaded to use public transit until their travel patterns are understood. Therefore, the disparity between public and private transportation must be addressed. This research aimed to develop a model to shift car travelers toward Karachi’s Green Line BRT and investigate the factors that influence car travelers’ decisions. A questionnaire-based survey was carried out on single-occupant vehicle (SOV) users in the Green Line corridor of Karachi. This study investigated the elements that influence SOV users’ willingness to adopt the BRT system and studied the possible ways of attracting car drivers to BRT. Data were examined using descriptive-analytic techniques such as the contingency table approach in conjunction with a Chi-square test of the independence/association model in SPSS. Furthermore, binary logistic regression was applied to the highly mediated associated variables. The research’s outcomes were geared at the imposition of parking fees at workplaces to deter individuals from parking their automobiles there. SOV travelers can be diverted to BRT services using this strategy. The research findings will assist policymakers and serve as a foundation for scientific investigations on the travel demand model for the BRT system.

This paper investigates factors influencing the shaping of future learning environments. It focuses on the impact of social and cultural requirements on the sustainability of future learning environment. It argues that while today's learning environments are shaped by yesterday's visions, future learning environments are shaped by toady's' visions that might not be acceptable nor valid for future generations. The case of New Kuwait University City in Shedadiyah is used to illustrate how current social and cultural requirements impact the design of a future university campus and inhibit the production of a sustainable environment. Among several socio-cultural factors, the paper focuses on two significant aspects that have dramatically affected the development of the master plan for the New University City; namely separation of students' sexes and car parking requirements. The first requirement was mandated by a parliament decree to build two separate campuses; one for male students and the other for female students. The implementation of this requirement resulted in the duplication of many educational facilities and immensely increased space and budget requirements. The second requirement reflected dependency on automobiles as primary means of transportation in Kuwait. It resulted in a necessity to allocate large areas of land for vehicular traffic and car parking. These two requirements, as well as other socio-cultural requirements, created a great challenge towards achieving the required level of sustainability. The paper concludes that while recognizing that accommodating clients' social and cultural requirements is necessary for the application of a comprehensive sustainability strategy, these requirements might work against achieving required levels of other aspects of sustainability.

In Saudi Arabia, car ownership rates are considered comparatively high due to the lack of other alternatives, cheap fuel and car registration costs, and higher income. The population relies mainly on automobiles for their daily trips and primarily commutes alone, contributing to many negative consequences. Therefore, ridesharing is a transportation mode that is a suitable approach in such an area, since it can increase the occupancy rates and reduce single-occupant driving, which in turn can cut vehicle emissions, contribute to a reduction in vehicle ownership and vehicle miles traveled, alleviate traffic congestions and accidents, and decrease the need for parking spaces. Suburban universities are considered major trip generators and attractors. They also can offer a niche market for ridesharing programs. Thus, data was obtained from a survey performed at Najran University to investigate the ridesharing behavior among the university population. Following a descriptive analysis of the commuter survey data, a binary logistic regression model was adopted to investigate the interest in ridesharing. The estimation results show being female and non-Saudi, as well as being students and faculty members in general (versus staff), along with the presence of fixed (regular) work or class schedules, increase the likelihood of ridesharing. Since the probability of most of the university population (i.e., students and faculty members) toward ridesharing is high, the number of automobiles needed by commuters will be reduced, resulting in a higher transition to environmentally sustainable urban mobility. In addition, the university has many motivators that can positively affect the propensity to rideshare, such as the lack of public transportation, fixed schedules, a longer distance to campus, and a similar social background among attendees; therefore, universities or other large employers can take these motivators into account when planning ridesharing services.

Promoting a transition in individuals’ travel mode from car to an integrated metro and bikeshare systems is expected to effectively reduce the traffic congestion that results mainly from commute trips performed by individual automobiles. This paper focuses on the use frequency of an integrated metro–bikeshare by individuals, and presents empirical evidence from Nanjing, China. Using one-week GPS data collected from the Mobike company, the spatiotemporal characteristics of origin/destination for cyclists who would likely to use shared bike as a feeder mode to metro are examined. Three areas of travel-related spatiotemporal information were extracted including (1) the distribution of walking distances between metro stations and shared bike parking lots; (2) the distribution of cycling times between origins/destinations and metro stations; and (3) the times when metro–bikeshare users pick up/drop off shared bikes to transfer to/from a metro. Incorporating these three features into a questionnaire design, an intercept survey of possible factors on the use of the combined mode was conducted at seven functional metro stations. An ordered logistic regression model was used to examine the significant factors that influence groupings of metro passengers. Results showed that the high-, medium- and low-frequency groups of metro–bikeshare users accounted for 9.92%, 21.98% and 68.1%, respectively. Education, individual income, travel purpose, travel time on the metro, workplace location and bike lane infrastructure were found to have significant impacts on metro passengers’ use frequency of integrated metro–bikeshares. Relevant policies and interventions for metro passengers of Nanjing are proposed to encourage the integration of metro and bikeshare systems.

Fixing the accessibility is a standard issue of transport analysis, which can be of interest to many socioeconomic applications. In the paper we propose and discuss accessibility and other indicators‐based urban transport system analysis and GIS (geographic information systems) calculation method for indicating problematic transportation zones in Vilnius city. The main parameter is time‐based accessibility from/to the central part of Vilnius and other transport zones in the city. Created GIS application computes the ranks for transport zones of Vilnius city according to accessibility and Vilnius statistics in these zones (street network density in city zones, number of working places, number of equipped parking places, number of attractive objects in transportation zones). The GIS decision support system is based on 2 calculation methods Topsis(Technique for OrderPreference by Similarity to Ideal Solution) and SAW (Simple Additive Weighting). Application of transportation zones analysis improves the quality of basic environment statistics and fills many data gaps related to urban statistics, providing information to decision‐makers and the general public concerning key factors determining the state of urban transportation environment. This paper outlines criteria and models used in Vilnius to develop urban transportation indicators and the reasons why the selected indicators represent the first important step to achieve a comprehensive system of indicators of urban transportation sustainability in Vilnius city. This model could be integrated in systems of urban transport planning and sustainable development planning. Santrauka Straipsnyje aptariama indikatorių sistema, reikalinga miesto transporto rajonams ranguoti, remiantis sprendimų paramos skaičiavimo metodais ir GIS (geografinės informacinės sistemos) technologijomis. Buvo identifikuojami Vilniaus miesto transporto rajonai, probleminiai susisiekimo sistemos požiūriu. Analizei atlikti buvo naudojami šie rodikliai: gatvių tinklo tankis, visuomeninio transporto tinklo tankis, automobiliu statymo vietų tankis, kelionių skaičius kiekviename transporto rajone, gatvių tinklo ilgis, tenkantis 1000 transporto rajono gyventojų, dirbančiųjų ir gyventojų tankių disproporcija transporto rajone, transporto rajono pasiekiamumas nuo miesto centro. GIS aplikacija su integruotais daugiakriteriniais sprendimų paramos sistemos skaičiavimo metodais, kaip paprastųjų svorių sudėjimo SAW ir idealiojo taško TOPSIS, ranguoja Vilniaus miesto transporto rajonus ir leidžia identifikuoti problemines susisiekimo sistemos požiūriu miesto vietas. Plečiant sukurta aplikacija, naudojant daugiau indikatorių galima sukurti bendra indikatorių sistemą miestų planavimo uždavinių sprendimams pagrįsti.

Transportation accounts for more than a quarter of the greenhouse gas emissions that are causing climate change. Carpooling is a subset of the sharing economy, in which individuals share their vehicle with commuters to save travel expenses. In recent decades, carpooling has been promoted as a feasible alternative to car ownership with the potential to alleviate traffic congestion, parking demand, and environmental problems. Unstable economic conditions, cultural norms, and lack of infrastructure make cultural exchange activities and mobility habits different in developing nations to those in developed countries. The rapid evolution of sharing mobility has reshaped travelers’ behavior and created a dire need to determine the travel patterns of commuters living in megacities in developing countries. To obtain data, a web-based stated choice (SC) experiment was used in this study. It used mode-related variables, socioeconomic demographic variables, and a coronavirus disease 2019 (COVID-19) precautionary measure variable. Logit models, namely the mixed logit regression model (ML) and the multinomial logit regression model (MNL), were applied to analyze the available data. According to modeling and survey data, economic variables associated with modes of transport, such as trip time and trip cost, were determined to be significant. Additionally, the results revealed that commuters were more conscious of COVID-19 preventive measures, which was determined to be highly significant. The findings showed that the majority of residents in the COVID-19 pandemic continue to rely on automobiles and motorcycles. It is noteworthy that individuals with more than two members in their family and a travel distance of less than seven miles were more likely to prefer a carpooling service. This study’s findings will provide a basis for researchers to aid existing operators in the field of transportation, as well as offer guidelines for governments in developing countries to enhance the utility of transportation networks.

U.S. cities prioritize the storage of automobiles over the safe movement of bicycles. While this generally occurs by allocating street curbs for car parking instead of bike lanes, the privileging of the automobile is even more evident in the case of angled parking, in which cars sit roughly perpendicular to the flow of traffic. Such a layout takes up nearly double the space in the right of way as does parallel parking, which leaves even less room for bike lanes. Though angled parking is defended as a traffic-calming measure, numerous studies indicate that this layout is associated with higher rates of collisions than parallel parking. In addition, angled parking also inherently increases the number of cars that can be parked along a given curb, which incentivizes automobile travel generally. However, one challenge of understanding the impact that angled parking has on safety and bicycle infrastructure is that cities do not always maintain accurate records as to where angled parking occurs. For example, San Francisco, CA has ambitious air-quality, climate-mitigation, and active transportation goals, all of which are undermined by angled parking. Yet, its supply of this parking layout is unquantified, given that parking angle was omitted from the city’s parking census. This study uses satellite imagery to resolve this data gap, and calculates that San Francisco dedicates 50 miles of street curbs to angled parking. While some assume angled parking is a planning response to San Francisco’s famed hills, the majority of it occurs on streets with no incline at all. As to angled parking’s traffic-calming effect, this benefit appears to be non-existent in San Francisco; average vehicle speeds differed by less than a half-mile per hour between angled-parking streets and adjacent non-angled streets. The angled parking identified here—particularly the four miles that overlap with the city’s bike-lane network—represents opportunities for conversion to more balanced road layouts. Overall, this methodology can serve as the basis for identifying angled parking in other cities, a configuration that should be re-evaluated by transportation planners given its car-centric effects, debatable ability to calm traffic, and preclusion of separated bicycle facilities.

This paper is regarding planning a PC-based observance parking system supported IoT that may be applied at the park-like at the searching advanced and offices. This paper focuses on the event of front panel victimization National Instrument's LABVIEW package and Node MCU, Personal Computer (PC), and NODE MCU. The traditional parking lot system doesn't have a board and it cannot show the vacancy of automobile parking space. The user must gamble to hunt any vacancy and need to watch for the opposite automobile to exit from the automobile parking space. Up to the traditional parking system, it'll create the automobile parking space become well organized and user friendly. This paper can produce an automobile detection system by developing a PC-based front panel of parking lot operation knowledge. The system can convert the output from the sensing element to the programmable language to the computer-based mostly board. The board aims to indicate the standing and automobile parking space vacancy. The NODE MCU is employed to supply interfacing between hardware and package. By victimization Lab, VIEW, and Node MCU, the simulation of the physical system will be developed to watch the quantities to be measured and the standing of the instrumentation within the plant from remote purposes while not accessing the inaccessible areas of the plant. Through the traditional parking system victimization Lab VIEW and Node MCU, the front panel is with success developed and explained by planning a physical model of automobile parking space with automobile detector operation. These PC-based observance systems will be applied in varied industrial applications like building security systems and mill automation.

Parking is considered a key policy for achieving sustainable mobility. Swedish public agencies have promoted lowering parking requirements to decrease automobile travel, oil consumption and carbon emissions. However, the implementation of restrictive parking policies lacks discussions about the role of the built environment and accessibility. If low parking standards are introduced in developments where it is impossible to walk, cycle or use public transportation, they do not work. This paper proposes a conceptual framework that links parking with the research on the effect of built environment on travel. It describes a model to calculate flexible parking standards based on built environment and accessibility factors commonly used in urban design and planning practices. Transportation systems need environmental preconditions. Parking requirements and expressways support driving around. Research shows that integrating walking, cycling and public transportation need complex sets of factors. The rationale is that parking standards can be lowered if the built environment supports walking, cycling and public transportation. The model aims to inform municipality officials, developers, architects, urban designers and planners about sustainable mobility choices and integration of the built environment with walking, cycling and public transportation and possibilities to reduce parking requirements to meet sustainable mobility goals.

A central theme of U.S. transportation planning policies is to reduce single-occupancy vehicle (SOV) trips and promote transit and non-motorized transportation by coordinating land-use planning and transportation demand management (TDM) programs. Cities often implement TDM programs by intervening with new development during the municipal permit review process. Seattle’s Transportation Management Program (TMP) under a joint Director’s Rule (DR) requires a commitment from developers to adopt select strategies from six TDM element categories: program management, physical improvements, bicycle/walking programs, employer-based incentives, transit and car/vanpooling, and parking management. TMP targets new developments and requires some TDM elements, recommends others, and leaves the rest to negotiation. The result is an individualized TMP agreement that is site-specific, reflecting both city policy and developer needs. This case study presents a qualitative analysis of the guiding eight DRs and 41 site-specific TMP agreements in Seattle’s Downtown and South Lake Union (SLU) area since 1988. Overall, a content analysis of TMP documents reveals that the average number of elements adopted in an agreement falls short of requirements set by DRs (34%–61%). Major findings include developer preference toward non-traditional TDM measures such as physical improvement of frontage and urban design features, as well as parking management. High-occupancy vehicle (HOV) elements showed higher adoption rates (59%–63%) over biking/walking programs (< 1%). It is concluded that future TDM policies could benefit if future research includes examining the effectiveness of the range of management options stemming from the real estate trends toward green buildings, tenants’ values in sustainability, and city policy to reduce automobile trips.

Al Gore brought climate change into … our living rooms. … The 2008 oil price hikes [and the global financial crisis] awakened the world to potential economic hardship in a rapidly urbanising world where the petrol-driven automobile is still king. (Mouritz 47) Six hundred million cars (Urry, “Climate Change” 265) traverse the world’s roads, or sit idly in garages and clogging city streets. The West’s economic progress has been built in part around the success of the automotive industry, where the private car rules the spaces and rhythms of daily life. The problem of “automobile dependence” (Newman and Kenworthy) is often cited as one of the biggest challenges facing countries attempting to combat anthropogenic climate change. Sociologist John Urry has claimed that automobility is an “entire culture” that has re-defined movement in the contemporary world (Urry Mobilities 133). As such, it is the single most significant environmental challenge “because of the intensity of resource use, the production of pollutants and the dominant culture which sustains the major discourses of what constitutes the good life” (Urry Sociology 57-8). Climate change has forced a re-thinking of not only how we produce and dispose of cars, but also how we use them. What might a society not dominated by the private, petrol-driven car look like? Some of the pre-eminent writers on climate change futures, such as Gwynne Dyer, James Lovelock and John Urry, discuss one possibility that might emerge when oil becomes scarce: societies will descend into civil chaos, “a Hobbesian war of all against all” where “regional warlordism” and the most brutish, barbaric aspects of human nature come to the fore (Urry, “Climate Change” 261). Discussing a post-car society, John Urry also proffers another scenario in his “sociologies of the future:” an Orwellian “digital panopticon” in which other modes of transport, far more suited to a networked society, might emerge on a large scale and, in the long run, “might tip the system” into post-car one before it is too late (Urry, “Climate Change” 261). Amongst the many options he discusses is car sharing. Since its introduction in Germany more than 30 years ago, most of the critical literature has been devoted to the planning, environmental and business innovation aspects of car sharing; however very little has been written on its cultural dimensions. This paper analyses this small but developing trend in many Western countries, but more specifically its emergence in Sydney. The convergence of climate change discourse with that of the global financial crisis has resulted in a focus in the mainstream media, over the last few months, on technologies and practices that might save us money and also help the environment. For instance, a Channel 10 News story in May 2009 focused on the boom in car sharing in Sydney (see: http://www.youtube.com/watch? v=EPTT8vYVXro). Car sharing is an adaptive technology that doesn’t do away with the car altogether, but rather transforms the ways in which cars are used, thought about and promoted. I argue that car sharing provides a challenge to the dominant consumerist model of the privately owned car that has sustained capitalist structures for at least the last 50 years. In addition, through looking at some marketing and promotion tactics of car sharing in Australia, I examine some emerging car sharing subjectivities that both extend and subvert the long-established discourses of the automobile’s flexibility and autonomy to tempt monogamous car buyers into becoming philandering car sharers. Much literature has emerged over the last decade devoted to the ubiquitous phenomenon of automobility. “The car is the literal ‘iron cage’ of modernity, motorised, moving and domestic,” claims Urry (“Connections” 28). Over the course of twentieth century, automobility became “the dominant form of daily movement over much of the planet (dominating even those who do not move by cars)” (Paterson 132). Underpinning Urry’s prolific production of literature is his concept of automobility. This he defines as a complex system of “intersecting assemblages” that is not only about driving cars but the nexus between “production, consumption, machinic complexes, mobility, culture and environmental resource use” (Urry, “Connections” 28). In addition, Matthew Paterson, in his Automobile Politics, asserts that “automobility” should be viewed as everything that makes driving around in a car possible: highways, parking structures and traffic rules (87). While the private car seems an inevitable outcome of a capitalistic, individualistic modern society, much work has gone into the process of naturalising a dominant notion of automobility on drivers’ horizons. Through art, literature, popular music and brand advertising, the car has long been associated with seductive forms of identity, and societies have been built around a hegemonic culture of car ownership and driving as the pre-eminent, modern mode of self-expression. And more than 50 years of a popular Hollywood film genre—road movies—has been devoted to glorifying the car as total freedom, or in its more nihilistic version, “freedom on the road to nowhere” (Corrigan). As Paterson claims, “autonomous mobility of car driving is socially produced … by a range of interventions that have made it possible” (18). One of the main reasons automobility has been so successful, he claims, is through its ability to reproduce capitalist society. It provided a commodity around which a whole set of symbols, images and discourses could be constructed which served to effectively legitimise capitalist society. (30) Once the process is locked-in, it then becomes difficult to reverse as billions of agents have adapted to it and built their lives around “automobility’s strange mixture of co-ercion and flexibility” (Urry, “Climate Change” 266). The Decline of the Car Globally, the greatest recent rupture in the automobile’s meta-narrative of success came about in October 2008 when three CEOs from the major US car firms (General Motors, Ford and Chrysler) begged the United States Senate for emergency loan funds to avoid going bankrupt. To put the economic significance of this into context, Emma Rothschild notes “when the listing of the ‘Fortune 500’ began in 1955, General Motors was the largest American corporation, and it was one of the three largest, measured in revenues, every year until 2007” (Rothschilds, “Can we transform”). Curiously, instead of focusing on the death of the car (industry), as we know it, that this scenario might inevitably herald, much of the media attention focused on the hypocrisy and environmental hubris of the fact that all the CEOs had flown in private luxury jets to Washington. “Couldn’t they have at least jet-pooled?” complained one Democrat Senator (Wutkowski). In their next visit to Washington, most of them drove up in experimental vehicles still in pre-production, including plug-in hybrids. Up until that point no other manufacturing industry had been bailed out in the current financial crisis. Of course it’s not the first time the automobile industries have been given government assistance. The Australian automotive industry has received on-going government subsidies since the 1980s. Most recently, PM Kevin Rudd granted a 6.2 billion dollar ‘green car’ package to Australian automotive manufacturers. His justification to the growing chorus of doubts about the economic legitimacy of such a move was: “Some might say it's not worth trying to have a car industry, that is not my view, it is not the view of the Australian government and it never will be the view of any government which I lead” (The Australian). Amongst the many reasons for the government support of these industries must include the extraordinary interweaving of discourses of nationhood and progress with the success of the car industry. As the last few months reveal, evidently the mantra still prevails of “what’s good for the country is good for GM and vice versa”, as the former CEO of General Motors, Charles “Engine” Wilson, argued back in 1952 (Hirsch). In post-industrial societies like Australia it’s not only the economic aspects of the automotive industries that are criticised. Cars seem to be slowly losing their grip on identity-formation that they managed to maintain throughout “the century of the car” (Gilroy). They are no longer unproblematically associated with progress, freedom, youthfulness and absolute autonomy. The decline and eventual death of the automobile as we know it will be long, arduous and drawn-out. But there are some signs of a post-automobile society emerging, perhaps where cars will still be used but they will not dominate our society, urban space and culture in quite the same way that they have over the last 50 years. Urry discusses six transformations that might ‘tip’ the hegemonic system of automobility into a post-car one. He mentions new fuel systems, new materials for car construction, the de-privatisation of cars, development of communications technologies and integration of networked public transport through smart card technology and systems (Urry, Mobilities 281-284). As Paterson and others have argued, computers and mobile phones have somehow become “more genuine symbols of mobility and in turn progress” than the car (157). As a result, much automobile advertising now intertwines communications technologies with brand to valorise mobility. Car sharing goes some way in not only de-privatising cars but also using smart card technology and networked systems enabling an association with mobility futures. In Automobile Politics Paterson asks, “Is the car fundamentally unsustainable? Can it be greened? Has the car been so naturalised on our mobile horizons that we can’t imagine a society without it?” (27). From a sustainability perspective, one of the biggest problems with cars is still the amount of space devoted to them; highways, garages, car parks. About one-quarter of the land in London and nearly one-half of that in Los Angeles is devoted to car-only environments (Urry, “Connections” 29). In Sydney, it is more like a quarter. We have to reduce the numbers of cars on our roads to make our societies livable (Newman and Kenworthy). Car sharing provokes a re-thinking of urban space. If one quarter of Sydney’s population car shared and we converted this space into green use or local market gardens, then we’d have a radically transformed city. Car sharing, not to be confused with ‘ride sharing’ or ‘car pooling,’ involves a number of people using cars that are parked centrally in dedicated car bays around the inner city. After becoming a member (much like a 6 or 12 monthly gym membership), the cars can be booked (and extended) by the hour via the web or phone. They can then be accessed via a smart card. In Sydney there are 3 car sharing organisations operating: Flexicar (http://www.flexicar.com.au/), CharterDrive (http://www.charterdrive.com.au/) and GoGet (http://www.goget.com.au/).[1] The largest of these, GoGet, has been operating for 6 years and has over 5000 members and 200 cars located predominantly in the inner city suburbs. Anecdotally, GoGet claims its membership is primarily drawn from professionals living in the inner-urban ring. Their motivation for joining is, firstly, the convenience that car sharing provides in a congested, public transport-challenged city like Sydney; secondly, the financial savings derived; and thirdly, members consider the environmental and social benefits axiomatic. [2] The promotion tactics of car sharing seems to reflect this by barely mentioning the environment but focusing on those aspects which link car sharing to futuristic and flexible subjectivities which I outline in the next section. Unlike traditional car rental, the vehicles in car sharing are scattered through local streets in a network allowing local residents and businesses access to the vehicles mostly on foot. One car share vehicle is used by 22-24 members and gets about seven cars off the street (Mehlman 22). With lots of different makes and models of vehicles in each of their fleets, Flexicar’s website claims, “around the corner, around the clock” “Flexicar offers you the freedom of driving your own car without the costs and hassles of owning one,” while GoGet asserts, “like owning a car only better.” Due to the initial lack of interest from government, all the car sharing organisations in Australia are privately owned. This is very different to the situation in Europe where governments grant considerable financial assistance and have often integrated car sharing into pre-existing public transport networks. Urry discusses the spread of car sharing across the Western world: Six hundred plus cities across Europe have developed car-sharing schemes involving 50,000 people (Cervero, 2001). Prototype examples are found such as Liselec in La Rochelle, and in northern California, Berlin and Japan (Motavalli, 2000: 233). In Deptford there is an on-site car pooling service organized by Avis attached to a new housing development, while in Jersey electric hire cars have been introduced by Toyota. (Urry, “Connections” 34) ‘Collaborative Consumption’ and Flexible, Philandering Subjectivities Car sharing shifts the dominant conception of a car from being a ‘commodity’, which people purchase and subsequently identify with, to a ‘service’ or network of vehicles that are collectively used. It does this through breaking down the one car = one person (or one family) ratio with one car instead servicing 20 or more people. One of Paterson’s biggest criticisms concerns car driving as “a form of social exclusion” (44). Car sharing goes some way in subverting the model of hyper-individualism that supports both hegemonic automobility and capitalist structures, whereby the private motorcar produces a “separation of individuals from one another driving in their own private universes with no account for anyone else” (Paterson 90). As a car sharer, the driver has to acknowledge that this is not their private domain, and the car no longer becomes an extension of their living room or bedroom, as is noted in much literature around car cultures (Morris, Sheller, Simpson). There are a community of people using the car, so the driver needs to be attentive to things like keeping the car clean and bringing it back on time so another person can use it. So while car sharing may change the affective relationship and self-identification with the vehicle itself, it doesn’t necessarily change the phenomenological dimensions of car driving, such as the nostalgic pleasure of driving on the open road, or perhaps more realistically in Sydney, the frustration of being caught in a traffic jam. However, the fact the driver doesn’t own the vehicle does alter their relationship to the space and the commodity in a literal as well as a figurative way. Like car ownership, evidently car sharing also produces its own set of limitations on freedom and convenience. That mobility and car ownership equals freedom—the ‘freedom to drive’—is one imaginary which car firms were able to successfully manipulate and perpetuate throughout the twentieth century. However, car sharing also attaches itself to the same discourses of freedom and pervasive individualism and then thwarts them. For instance, GoGet in Sydney have run numerous marketing campaigns that attempt to contest several ‘self-evident truths’ about automobility. One is flexibility. Flexibility (and associated convenience) was one thing that ownership of a car in the late twentieth century was firmly able to affiliate itself with. However, car ownership is now more often associated with being expensive, a hassle and a long-term commitment, through things like buying, licensing, service and maintenance, cleaning, fuelling, parking permits, etc. Cars have also long been linked with sexuality. When in the 1970s financial challenges to the car were coming as a result of the oil shocks, Chair of General Motors, James Roche stated that, “America’s romance with the car is not over. Instead it has blossomed into a marriage” (Rothschilds, Paradise Lost). In one marketing campaign GoGet asked, ‘Why buy a car when all you need is a one night stand?’, implying that owning a car is much like a monogamous relationship that engenders particular commitments and responsibilities, whereas car sharing can just be a ‘flirtation’ or a ‘one night stand’ and you don’t have to come back if you find it a hassle. Car sharing produces a philandering subjectivity that gives individuals the freedom to have lots of different types of cars, and therefore relationships with each of them: I can be a Mini Cooper driver one day and a Falcon driver the next. This disrupts the whole kind of identification with one type of car that ownership encourages. It also breaks down a stalwart of capitalism—brand loyalty to a particular make of car with models changing throughout a person’s lifetime. Car sharing engenders far more fluid types of subjectivities as opposed to those rigid identities associated with ownership of one car. Car sharing can also be regarded as part of an emerging phenomenon of what Rachel Botsman and Roo Rogers have called “collaborative consumption”—when a community gets together “through organized sharing, swapping, bartering, trading, gifting and renting to get the same pleasures of ownership with reduced personal cost and burden, and lower environmental impact” (www.collaborativeconsumption.com). As Urry has stated, these developments indicate a gradual transformation in current economic structures from ownership to access, as shown more generally by many services offered and accessed via the web (Urry Mobilities 283). Rogers and Botsman maintain that this has come about through the “convergence of online social networks increasing cost consciousness and environmental necessity." In the future we could predict an increasing shift to payment to ‘access’ for mobility services, rather than the outright private ownerships of vehicles (Urry, “Connections”). Networked-Subjectivities or a ‘Digital Panopticon’? Cars, no longer able on their own to signify progress in either technical or social terms, attain their symbolic value through their connection to other, now more prevalently ‘progressive’ technologies. (Paterson 155) The term ‘digital panopticon’ has often been used to describe a dystopian world of virtual surveillance through such things as web-enabled social networking sites where much information is public, or alternatively, for example, the traffic surveillance system in London whereby the public can be constantly scrutinised through the centrally monitored cameras that track people’s/vehicle’s movements on city streets. In his “sociologies of the future,” Urry maintains that one thing which might save us from descending into post-car civil chaos is a system governed by a “digital panopticon” mobility system. This would be governed by a nexus system “that orders, regulates, tracks and relatively soon would ‘drive’ each vehicle and monitor each driver/passenger” (Urry, “Connections” 33). The transformation of mobile technologies over the last decade has made car sharing, as a viable business model, possible. Through car sharing’s exploitation of an online booking system, and cars that can be tracked, monitored and traced, the seeds of a mobile “networked-subjectivity” are emerging. But it’s not just the technology people are embracing; a cultural shift is occurring in the way that people understand mobility, their own subjectivity, and more importantly, the role of cars. NETT Magazine did a feature on car sharing, and advertised it on their front cover as “GoGet’s web and mobile challenge to car owners” (May 2009). Car sharing seems to be able to tap into more contemporary understandings of what mobility and flexibility might mean in the twenty-first century. In their marketing and promotion tactics, car sharing organisations often discursively exploit science fiction terminology and generate a subjectivity much more dependent on networks and accessibility (158). In the suburbs people park their cars in garages. In car sharing, the vehicles are parked not in car bays or car parks, but in publically accessible ‘pods’, which promotes a futuristic, sci-fi experience. Even the phenomenological dimensions of swiping a smart card over the front of the windscreen to open the car engender a transformation in access to the car, instead of through a key. This is service-technology of the future while those stuck in car ownership are from the old economy and the “century of the car” (Gilroy). The connections between car sharing and the mobile phone and other communications technologies are part of the notion of a networked, accessible vehicle. However, the more problematic side to this is the car under surveillance. Nic Lowe, of his car sharing organisation GoGet says, “Because you’re tagged on and we know it’s you, you are able to drive the car… every event you do is logged, so we know what time you turned the key, what time you turned it off and we know how far you drove … if a car is lost we can sound the horn to disable it remotely to prevent theft. We can track how fast you were going and even how fast you accelerated … track the kilometres for billing purposes and even find out when people are using the car when they shouldn’t be” (Mehlman 27). The possibility with the GPS technology installed in the car is being able to monitor speeds at which people drive, thereby fining then every minute spent going over the speed limit. While this conjures up the notion of the car under surveillance, it is also a much less bleaker scenario than “a Hobbesian war of all against all”. Conclusion: “Hundreds of Cars, No Garage” The prospect of climate change is provoking innovation at a whole range of levels, as well as providing a re-thinking of how we use taken-for-granted technologies. Sometime this century the one tonne, privately owned, petrol-driven car will become an artefact, much like Sydney trams did last century. At this point in time, car sharing can be regarded as an emerging transitional technology to a post-car society that provides a challenge to hegemonic automobile culture. It is evidently not a radical departure from the car’s vast machinic complex and still remains a part of what Urry calls the “system of automobility”. From a pro-car perspective, its networked surveillance places constraints on the free agency of the car, while for those of the deep green variety it is, no doubt, a compromise. Nevertheless, it provides a starting point for re-thinking the foundations of the privately-owned car. While Urry makes an important point in relation to a society moving from ownership to access, he doesn’t take into account the cultural shifts occurring that are enabling car sharing to be attractive to prospective members: the notion of networked subjectivities, the discursive constructs used to establish car sharing as a thing of the future with pods and smart cards instead of garages and keys. If car sharing became mainstream it could have radical environmental impacts on things like urban space and pollution, as well as the dominant culture of “automobile dependence” (Newman and Kenworthy), as Australia attempts to move to a low carbon economy. Notes [1] My partner Bruce Jeffreys, together with Nic Lowe, founded Newtown Car Share in 2002, which is now called GoGet. 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