Research on Travel Behavior with Car Sharing under Smart City Conditions

Abstract

As a sustainable transportation system, car-sharing schemes have been attracting increasing attention. A large amount of research and practice has proved that the application and promotion of car sharing can help reduce the number of private cars purchased, increase the utilization rate of automobiles, effectively alleviate traffic congestion, save energy, and reduce emissions. Therefore, research on car sharing is imperative. The logit model is widely used in studies on car sharing and is an effective tool for analyzing traffic problems. This study first introduces the status of research into car sharing and analyzes the potential users and market prospects for shared cars. The study then provides the results from a questionnaire survey in Nanjing, China, to obtain sample data. Finally, a mixed logit model is established to analyze the influencing factors of car-sharing selection behavior. The results show that factors such as an individual’s housing situation and income significantly affect car-sharing decisions and that respondents who choose to use shared cars are relatively similar to commuters. The main contribution of this study is to use empirical analysis to determine the key influencing factors of car-sharing behavior in China and to provide practical insights for commercial practitioners and traffic planners.

Friend-Invitation Promotion Scheme Used in Electric Carsharing: Empirical Analysis and Policy Implications

“…As the result given in Section 3.3 and the previous studies on the EVCARD [13,18] show, most members of the EVCARD are young, probably because the elderly people have difficulties operating the e-rental system [28]. Hence, this operation mode seems to exclude elderly people and may cause a potential aging inequality problem.…”

“…ey found that a high level of the perceived risks would encourage antisharing behaviors, and thus they suggested mitigating these risks to achieve a win-win situation. Tao et al [13] designed a statedpreference survey in Nanjing to investigate carsharing choices. ey observed that young people or people with higher education were more likely to adopt carsharing, and thus suggested that carsharing stations could be built in the area with more educated people, such as universities.…”

“…However, some have argued that carsharing service would also have influence on public transportation usage [7][8][9][10], as it may induce public transportation users to drive, which can result in the increase of carbon emission. Electric carsharing can balance this conflict because electric vehicles (EVs) do not produce carbon emissions on the road and still provide satisfactory services to people [11][12][13]. It may be the first step to persuade people to give up owning a car.…”

Two-Echelon Multidepot Logistics Network Design with Resource Sharing

“…(5) For customers with pickup demands (6) Step 4: Evaluate the distance between each pickup customer and each cluster center belonging to k 2 . (7) If the same distances between a certain customer and several cluster centers exist…”

“…For the underused resources and service capabilities, the mode of a sharing economy provides individuals and groups potential ways to save costs and obtain profits, which is promising and validated in transportation-related issues such as car-sharing services such as Uber and Zipcar [5,6]. When designing a logistics transportation network, designers usually face the problem of how to simultaneously maximize the profits and minimize the operating cost of the whole network when each logistics facility has idle vehicles and excessive service requirements owing to independent operation.…”