The Impact of Public Transit Accessibility on the Car-sharing Use Demand

Author(s):  
Suk-Hee Kim ◽  
◽  
Kyu-Jin LEE
2018 ◽  
Vol 32 (32) ◽  
pp. 1850354 ◽  
Author(s):  
Xuehao Zhai ◽  
Jiahui Zhao ◽  
Qun Chen

Using geographic information systems (GIS) network analysis technology, this paper studied the impact of new subway projects on the accessibility of an urban transit network. First, the status quo of public transit accessibility in Changsha City was estimated using two improved accessibility models: the cumulative opportunity measurement model and the gravity measurement model. Second, the topological structural information of the public transit network and basic public transit data were collected from mapping software. GIS technology was used to build the public transit network. According to the schedules of different subway lines projected to open in the next few years, the impedance of the GIS network was adjusted. Finally, the public transit accessibilities at different stages were calculated with the improved measurement model. Based on the accessibility calculation results at different sites, the development of public transit in Changsha was analyzed using a cluster analysis method.


2020 ◽  
Vol 89 ◽  
pp. 102869
Author(s):  
Javad Jomehpour Chahar Aman ◽  
Janille Smith-Colin

Author(s):  
Andres Sevtuk ◽  
Reza Amindarbari

In this paper, we examine transportation sustainability in American metropolitan areas using transportation-related CO2 emissions, public transit accessibility, and commuting times as indicators. Though variations in these indicators may stem from historic contexts, policies, institutional arrangements, social and cultural origins, the spatial structure of metropolitan areas—in particular their formal characteristics—may also be a contributing factor. To test this relationship, we identify metropolitan form metrics from prior literature that are expected to impact transportation outcomes, and choose five metrics to which we introduce significant improvements. We apply the metrics to all 166 Combined Statistical Areas in the US, using an open-source GIS toolbox released along with the paper. Our findings demonstrate that form-based metrics provide a better explanation to CO2 emissions, public transit accessibility, and commuting times in US metro areas than the simpler population size or density metrics typically used in practice. We also show that counter to prior literature on urban scaling laws and economies of scale, which have argued that larger cities and metro areas are more sustainable per capita, transport-related CO2 emissions and transit accessibility are actually less favorable in larger CSAs when controlling for formal characteristics of metropolitan areas. Instead of scale, compactness has the highest elasticity with respect to transportation sustainability of metro areas.


2020 ◽  
Vol 12 (19) ◽  
pp. 8155
Author(s):  
Donald A. Chapman ◽  
Johan Eyckmans ◽  
Karel Van Acker

Private car-use is a major contributor of greenhouse gases. Car-sharing is often hypothesised as a potential solution to reduce car-ownership, which can lead to car-sharing users reducing their car-use. However, there is a risk that car-sharing may also increase car-use amongst some users. Existing studies on the impacts of car-sharing on car-use are often based on estimates of the users’ own judgement of the effects; few studies make use of quasi-experimental methods. In this paper, the impact of car-sharing on car-ownership and car-use in Flanders, Belgium is estimated using survey data from both sharers and non-sharers. The impact on car-use is estimated using zero-inflated negative binomial regression, applied to matched samples of car-sharing users and non-users. The results show that the car-sharing may reduce car-use, but only if a significant number of users reduce their car-ownership. Policy intervention may therefore be required to ensure car-sharing leads to a reduction in car-use by, for example, discouraging car-ownership. Further research using quasi-experimental methods is required to illuminate whether the promise of car-sharing is reflected in reality.


2016 ◽  
Vol 137 ◽  
pp. 132-140 ◽  
Author(s):  
Chen Yan-yan ◽  
Wei Pan-yi ◽  
Lai Jian-hui ◽  
Feng Guo-chen ◽  
Li Xin ◽  
...  

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