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Article: Carsharing in China: Impact of system and urban factors on usage and efficiency

TitleCarsharing in China: Impact of system and urban factors on usage and efficiency
Authors
KeywordsCarsharing
System characteristics
Urban factors
Vehicle utilization rate
Issue Date1-May-2024
PublisherElsevier
Citation
Journal of Transport Geography, 2024, v. 117 How to Cite?
Abstract

The carsharing service has experienced significant growth over the past few years in China, yet few studies have scrutinized the multi-city variations of this service. Using carsharing data from 61 cities in China, we analyzed the usage and efficiency of each city and investigated the impact of system and urban factors on the service performance. The study reveals vast differences in carsharing supply and demand across Chinese cities. Our results show the parking station density and the parking lot to vehicle ratio of the carsharing system are positively related to the usage. Urban factors such as public transportation availability, educational attainment levels, and vehicle restriction policies, are found to have significantly positive associations with the carsharing usage. However, no urban factors demonstrate significant associations with the efficiency measured by vehicle utilization rate. Moreover, the presence of other competing carsharing services within a city exhibits a positive impact on the performance of carsharing systems. This study also examined nonlinear effects of the factors. It provides valuable insights into the management of carsharing services in China, which can inform policy-making and operational strategies for sustainable development of carsharing.


Persistent Identifierhttp://hdl.handle.net/10722/348433
ISSN
2023 Impact Factor: 5.7
2023 SCImago Journal Rankings: 1.791

 

DC FieldValueLanguage
dc.contributor.authorZu, Jinyan-
dc.contributor.authorKong, Hui-
dc.contributor.authorXu, Yang-
dc.contributor.authorZhang, Xiaohu-
dc.date.accessioned2024-10-09T00:31:28Z-
dc.date.available2024-10-09T00:31:28Z-
dc.date.issued2024-05-01-
dc.identifier.citationJournal of Transport Geography, 2024, v. 117-
dc.identifier.issn0966-6923-
dc.identifier.urihttp://hdl.handle.net/10722/348433-
dc.description.abstract<p>The carsharing service has experienced significant growth over the past few years in China, yet few studies have scrutinized the multi-city variations of this service. Using carsharing data from 61 cities in China, we analyzed the usage and efficiency of each city and investigated the impact of system and urban factors on the service performance. The study reveals vast differences in carsharing supply and demand across Chinese cities. Our results show the parking station density and the parking lot to vehicle ratio of the carsharing system are positively related to the usage. Urban factors such as public transportation availability, educational attainment levels, and vehicle restriction policies, are found to have significantly positive associations with the carsharing usage. However, no urban factors demonstrate significant associations with the efficiency measured by vehicle utilization rate. Moreover, the presence of other competing carsharing services within a city exhibits a positive impact on the performance of carsharing systems. This study also examined nonlinear effects of the factors. It provides valuable insights into the management of carsharing services in China, which can inform policy-making and operational strategies for sustainable development of carsharing.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofJournal of Transport Geography-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCarsharing-
dc.subjectSystem characteristics-
dc.subjectUrban factors-
dc.subjectVehicle utilization rate-
dc.titleCarsharing in China: Impact of system and urban factors on usage and efficiency-
dc.typeArticle-
dc.identifier.doi10.1016/j.jtrangeo.2024.103897-
dc.identifier.scopuseid_2-s2.0-85193024400-
dc.identifier.volume117-
dc.identifier.eissn1873-1236-
dc.identifier.issnl0966-6923-

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