Volume 41 Issue 2
Apr.  2023
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WU Wenjing, YANG Xu, JIA Hongfei. An Analysis of Impact Factors to the Propensity of Car Sharing in the 'Post-Epidemic Era'Based on an Extended UTAUT Model[J]. Journal of Transport Information and Safety, 2023, 41(2): 112-120. doi: 10.3963/j.jssn.1674-4861.2023.02.012
Citation: WU Wenjing, YANG Xu, JIA Hongfei. An Analysis of Impact Factors to the Propensity of Car Sharing in the "Post-Epidemic Era"Based on an Extended UTAUT Model[J]. Journal of Transport Information and Safety, 2023, 41(2): 112-120. doi: 10.3963/j.jssn.1674-4861.2023.02.012

An Analysis of Impact Factors to the Propensity of Car Sharing in the "Post-Epidemic Era"Based on an Extended UTAUT Model

doi: 10.3963/j.jssn.1674-4861.2023.02.012
  • Received Date: 2022-07-12
    Available Online: 2023-06-19
  • In the post-epidemic period, car sharing offers a new choice of transportation mode because of its "low-carbon"attributes and independent space for travelers. A survey of travelers is created in the form of a web-based questionnaire. A total of 109 valid questionnaires were collected and the results are analyzed to investi-gate factors impacting people's propensity to use car sharing in the post-epidemic period. An expanded UTAUT model is developed by considering the perceived risk of epidemic and financial risk. To investigate how each latent variable influences the intention to accept car sharing, eleven hypotheses are proposed, and structural equation mod-eling is applied. Analysis of the hypothesis test findings, model degree of fit, and mediating effects are done. Mediat-ing effects are looked at for routes that are insignificant in the hypothesis. A multiple factor and multiple reasoning model based on structural equations is developed to examine the effect process of socio-economic variables. Correla-tions between observed and latent variables are examined, in addition to correlations between latent variables and la-tent variables. Findings from this study show that that all of the models have a good fit. Performance expectation had the greatest, positive influence on acceptance intention among the latent variables, followed by facilitation con-ditions and social influence. Financial risk and effort expectation have the greatest negative influence on acceptance intention. Social influence, performance expectation, and facilitation conditions partially mediated the effect be-tween perceived risk of epidemic and behavioral intention. This effect had a total indirect effect of 0.240 and a sig-nificant indirect effect of 74.8% of the total effect. However, the direct effect of perceived epidemic risk is not signif-icant. Age, actual driving age, and the possession of a driver's license all significantly influence the attitudes regard-ing the use of car sharing during the pandemic. In contrast, frequency of usage directly affectes intention to use car sharing during the epidemic. Strategies and instructions for promoting car sharing in the post-epidemic era are then offered, which include ways to improve the travel experience, strengthen safety management, encourage consump-tion, and boost brand value.

     

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  • [1]
    惠英,廖佳妹,唐磊,等. 疫情期间共享单车的使用行为与意愿[J]. 城市交通,2020,18(6):100-109. https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT202006015.htm

    HUI Y, LIAO J M, TANG L, et al. Travel behavior and prefer-ence using bike sharing during the pandemic[J]. Urban Trans-portation, 2020, 18(6): 100-109. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT202006015.htm
    [2]
    张小雨, 邵春福, 王博彬, 等. 新冠疫情影响下居民共享出行方式选择行为研究[J]. 交通运输系统工程与信息, 2022, 22(2): 186-196, 205. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202202018.htm

    ZHANG X Y, SHAO C F, WANG B B, et al. Travel mode choice analysis with shared mobility in the context of COV-ID-19 [J]. Transportation Systems Engineering and Informa-tion, 2022, 22(2): 186-196, 205. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202202018.htm
    [3]
    ZHANG X, SHAO C, WANG B, et al. Exploring the role of shared mobility in alleviating private car dependence and on-road carbon emissions in the context of COVID-19[J]. Frontiers in Environmental Science, 2022, 10: 1-9.
    [4]
    ALONSO-ALMEIDA M D. To use or not use car sharing mobil-ity in the ongoing COVID-19 pandemic? Identifying sharing mobility behavior in times of crisis[J]. International Journal of Environmental Research and Public Health, 2022, 19(5): 3127. doi: 10.3390/ijerph19053127
    [5]
    DAVIS F D, BAGOZZI R P, WARSHAW P R. User accep-tance of computer technology: A comparison of two theoreti-cal models[J]. Management Science, 1989, 35(8): 982-1003. doi: 10.1287/mnsc.35.8.982
    [6]
    胡晓伟, 石腾跃, 于璐, 等. 基于扩展技术接受度模型的共享自动驾驶汽车用户使用意愿研究[J]. 交通运输工程与信息学报, 2021, 19(3): 1-12. https://www.cnki.com.cn/Article/CJFDTOTAL-JTGC202103001.htm

    HU X W, SHI T Y, YU L, et al. Research on measuring us-ers' willingness to use shared autonomous vehicles based on an extension technology acceptance model [J]. Journal of Transportation Engineering and Information, 2021, 19(3): 1-12. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JTGC202103001.htm
    [7]
    李继朴, 贺宜, 孙昌鑫, 等. 基于SEM的自动驾驶汽车接受度模型与风险分析[J]. 交通信息与安全, 2021, 39(1): 26-34. doi: 10.3963/j.jssn.1674-4861.2021.01.0004

    LI J P, HE Y, SUN C X, et al. An acceptance model and risk analysis of automated vehicles based on SEM[J]. Journal of Transport Information and Safety, 2021, 39(1): 26-34. doi: 10.3963/j.jssn.1674-4861.2021.01.0004
    [8]
    袁霞, 王爱民. 基于TAM的共享汽车使用意愿影响因素研究[J]. 武汉理工大学学报(信息与管理工程版), 2018, 40(4): 434-438. https://www.cnki.com.cn/Article/CJFDTOTAL-WHQC201804014.htm

    YUAN X, WANG A M. Research on the influencing factors of car sharing use intention based on TAM[J]. Journal of Wu-han University of Technology(Information and Management Engineering Edition), 2018, 40(4): 434-438. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WHQC201804014.htm
    [9]
    FISHBEIN M, AJZEN I. Belief, attitude, intention and behav-ior: an introduction to theory and research. [J]. Philosophy & Rhetoric, 1977, 41(4): 842-844.
    [10]
    鲍抄抄, 王维红. 基于计划行为理论的汽车共享消费意向影响因素研究[J]. 东华大学学报(社会科学版), 2018, 18(4): 285-293. https://www.cnki.com.cn/Article/CJFDTOTAL-DHDS201804012.htm

    BAO C C, WANG W H. Research on the factors influencing car sharing consumption intention based on the theory of planned behavior[J]. Journal of Donghua University(Social Science Edition), 2018, 18(4): 285-293. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DHDS201804012.htm
    [11]
    徐豪. 基于扩展计划行为理论的拼车出行选择行为研究[D]. 重庆: 重庆交通大学, 2020.

    XU H. Research on car-pooling selection based on extended planned behavior theory [D]. Chongqing : Chongqing Trans-portation University, 2020. (in Chinese)
    [12]
    KELLER A, AGUILAR A, HANSS D. Car sharers' interest in integrated multimodal mobility platforms: a diffusion of in-novations perspective[J]. Sustainability, 2018, 10(12): 4689.
    [13]
    BÖSEHANS G, BELL M, THORPE N, et al. e-HUBs— Identifying the potential early and late adopters of shared electric mobility hubs[J]. International Journal of Sustainable Transportation, 2021, 17(3): 1-20.
    [14]
    VENKATESH V, MORRIS M G, DAVIS G B, et al. User ac-ceptance of information technology: toward a unified view[J]. MIS Quarterly, 2003, 27(3): 425-478.
    [15]
    CURTALE R, LIAO F, PETER V. User acceptance of elec-tric car-sharing services: The case of the Netherlands[J]. Transportation Research Part A: Policy and Practice, 2021, C(149): 266-282.
    [16]
    ZAFRI N M, KHAN A, JAMAL S, et al. Risk perceptions of COVID-19 transmission in different travel modes[J]. Trans-portation Research Interdisciplinary Perspectives, 2022, 13: 100548.
    [17]
    黄金梅. 感知风险对共享单车使用意愿的影响研究[D]. 南宁: 广西大学, 2018.

    HUANG J M. Research on the influence of the perceived risk to usage intention of shared bicycle[D]. Nanning: Guangxi University, 2018. (in Chinese)
    [18]
    徐刚. 单车智能与车路协同自动驾驶技术接受度研究[D]. 镇江: 江苏大学, 2020.

    XU G. Study on the acceptance of bicycle intelligence and vehicle-road cooperative autonomous driving technology[D]. Zhenjiang: Jiangsu University, 2020. (in Chinese)
    [19]
    MA L, ZHANG X, DING X, et al. Bike sharing and users' sub-jective well-being: an empirical study in China[J]. Transporta-tion Research Part A: Policy and Practice, 2018(118): 14-24.
    [20]
    景鹏, 黄芳, 徐刚, 等. 自动驾驶支付意愿及影响因素分析[J]. 长安大学学报(自然科学版), 2021, 41(1): 90-102. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL202101010.htm

    JING Peng, HUANG Fang, XU Gang, et al. Analysis of au-tonomous driving payment willingness and influencing fac-tors[J]. Journal of Chang'an University (Natural Science Edition), 2021, 41(1): 90-102. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL202101010.htm
    [21]
    YANG X H, CHENG Z, CHEN G, et al. The impact of a pub-lic bicycle-sharing system on urban public transport net-works[J]. Transportation Research Part A: Policy and Prac-tice, 2018(107): 246-256.
    [22]
    JING P, CHEN Y, WANG X, et al. Evaluating the effective-ness of Didi ride-hailing security measures: an integration model[J]. Transportation Research Part F: Traffic Psycholo-gy and Behaviour, 2021(76): 139-166.
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