Volume 39 Issue 3
Jun.  2021
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Article Navigation >  Journal of Transport Information and Safety  > 2021  >  39(3): 17-24
HU Song, WENG Jiancheng, LIN Pengfei, ZHOU Wei, JING Yunqi. Impacts of Major Epidemic on Passengers' Dependence on Public Transport[J]. Journal of Transport Information and Safety, 2021, 39(3): 17-24. doi: 10.3963/j.jssn.1674-4861.2021.03.003
Citation: HU Song, WENG Jiancheng, LIN Pengfei, ZHOU Wei, JING Yunqi. Impacts of Major Epidemic on Passengers' Dependence on Public Transport[J]. Journal of Transport Information and Safety, 2021, 39(3): 17-24. doi: 10.3963/j.jssn.1674-4861.2021.03.003
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Impacts of Major Epidemic on Passengers' Dependence on Public Transport

doi: 10.3963/j.jssn.1674-4861.2021.03.003
  • 1.

    Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

  • 2.

    Ministry of Transport of People's Republic of China, Beijing 100736, China

  • Received Date: 2020-01-25
    Abstract
  • Exploring the impacts of major epidemics on passengers' behaviors and dependence on public transportation can improve the quality of public transportation(PT)services and the balance between supply and demand.Based on the prospect theory and the theory of planned behavior(TPB), the work proposes the SP/RP travel survey scheme in the period of a major epidemic.Three indicators are selected from the dimension of travel behaviors, and a k-means algorithm is used to identify the PT passenger categories.The internal and external impact indicators of PT dependence are screened from seven levels.Then, a structural equation model is utilized to construct the model of major-epidemic impacts on passengers' PT dependence.The results show that the latent variables of individual attributes, travel environment, and travel characteristics indirectly affect passengers' PT dependence by changing individual psychological factors, which reflects the joint effect of subjective and objective factors on passengers' PT dependence.The positive intensity of travel intention on PT dependence under a major epidemic is 0.36, which is lower than that of 0.51 under normal conditions.The positive effect of the travel environment is strong, while the effect of individual attributes is relatively low and negatively correlated with PT attitude and subjective norms.Besides, bicycle availability, route risk, and travel intensity hardly affect passengers' PT dependence.The acquaintance of prevention and control policies, subjective normative variables, and travel preference on PT have significant effects, reflecting that the social promotion effect and the fuzzy effect of consumer psychology are more obvious in the PT market in the major epidemic period.

     

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    • References(20)
  • [1]
    葛颖恩, 杨佳琳. 基于对比分析的新冠疫情对航运业的影响研究[J]. 交通信息与安全, 2020, 38(2): 120-128. https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS202002018.htm

    GE Yingen, YANG Jialin. Impacts of COVID-19 on shipping industry based on comparative analysis[J]. Journal of Transport In-formation and Safety, 2020, 38(2): 120-128. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS202002018.htm
    [2]
    刘玢妤, 张露丹. 疫情引发多国交通生态系统变革[N]. 中国交通报, 2020-06-04(4).

    LIU Binyu, ZHANG Ludan. The epidemic has led to changes in transport ecosystems in many countries[N]. China Communications News, 2020-06-04(4). (in Chinese).
    [3]
    YU L, XIE B, CHAN E. Exploring impacts of the built environment on transit travel: Distance, time and mode choice, for urban villages in Shenzhen, China[J]. Transportation Research Part E: Logistics and Transportation Review, 2019(132): 57-71. http://www.sciencedirect.com/science/article/pii/S1366554519304090
    [4]
    CERVERO R. Office development, rail transit, and commuting choices[J]. Journal of Public Transportation, 2006, 9(5): 41-55. doi: 10.5038/2375-0901.9.5.3
    [5]
    秦焕美, 高建强, 和士辉, 等. 基于奖罚措施的小汽车通勤者出行行为研究[J]. 交通运输系统工程与信息, 2018, 18(1): 115-120. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201801018.htm

    QIN Huanmei, GAO Jianqiang, HE Shihui, et al. Study on the travel behavior of car commuters based on reward and punishment measures[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(1): 115-120. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT201801018.htm
    [6]
    尹超英, 邵春福, 王晓全, 等. 考虑空间异质性的建成环境对通勤方式选择的影响[J]. 吉林大学学报(工学版), 2020, 50(2): 543-548. https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY202002018.htm

    YIN Chaoying, SHAO Chunfu, WANG Xiaoquan, et al. Influence of built environment on commuting mode choice considering spatial heterogeneity[J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 543-548. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY202002018.htm
    [7]
    黄晓燕, 曹小曙, 殷江滨, 等. 城市轨道交通和建成环境对居民步行行为的影响[J]. 地理学报, 2020, 75(6): 1256-1271. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB202006013.htm

    HUANG Xiaoyan, CAO Xiaoshu, YIN Jiangbin, et al. The influence of urban transit and built environment on walking[J]. Acta Geography Sinica, 2020, 75(6): 1256-1271(. in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB202006013.htm
    [8]
    KRYGSMAN S, ARENTZE T, TIMMERMANS H. Capturing tour mode and activity choice interdependencies: A co-evolutionary logit modelling approach[J]. Transportation Research Part A: Policy and Practice, 2007(41): 913-933. http://www.sciencedirect.com/science/article/pii/S0965856407000390
    [9]
    FU X, JUAN Z. Exploring the psychosocial factors associated with public transportation usage and examining the"gendered"difference[J]. Transportation Research Part A: Policy and Practice, 2017(103): 70-82. http://www.sciencedirect.com/science/article/pii/S0965856417305037
    [10]
    ARROYO R, RUIZ T, MARS L, et al. Influence of values, attitudes towards transport modes and companions on travel behavior[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2020(71): 8-22. http://www.sciencedirect.com/science/article/pii/S1369847819305418
    [11]
    ZANNI A M, RYLEY T J. The impact of extreme weather conditions on long distance travel behaviour[J]. Transportation Research Part A: Policy and Practice, 2015(77): 305-319. http://smartsearch.nstl.gov.cn/paper_detail.html?id=3d8a4a8112b41689a2b000ca92e1a33b
    [12]
    林子敬. 恶劣天气对大连市居民出行方式选择的影响研究[D]. 大连: 大连理工大学, 2017.

    LIN Zijing. Study on the Impact of bad weather on Dalian residents'travel mode choice behavior[D]. Dalian: Dalian Univeraity of Technology, 2017. (in Chinese).
    [13]
    NGUYEN-PHUOC D Q, CURRIE G, GRUYTER C D, et al. How do public transport users adjust their travel behaviour if public transport ceases?A qualitative study[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2018(54): 1-14.
    [14]
    吴娇蓉, 王宇沁, 陈小鸿. 公共卫生事件持续期通勤合乘设计及组织效率影响分析[J]. 中国公路学报, 2020, 33(11): 20-29. doi: 10.3969/j.issn.1001-7372.2020.11.004

    WU Jiaorong, WANG Yuqin, CHEN Xiaohong. Impact analysis of commuting rideshare design and organizational efficiency during public health emergencies[J]. China Journal of Highway and Transport, 2020, 33(11): 20-29. (in Chinese). doi: 10.3969/j.issn.1001-7372.2020.11.004
    [15]
    刘建荣, 郝小妮, 石文瀚. 新冠疫情对老年人公交出行行为的影响[J]. 交通运输系统工程与信息, 2020, 20(6): 71-76+98. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202006009.htm

    LIU Jianrong, HAO Xiaoni, SHI Wenhan. Impact of COVID-19 on the elderly's bus travel behavior[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(6): 71-76+98. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202006009.htm
    [16]
    CULLINANE S, CULLINANE K. Car dependence in a public transport dominated city: Evidences from Hong Kong[J]. Transportation Research Part D: Transport and Environment, 2003, 8(2): 129-138. doi: 10.1016/S1361-9209(02)00037-8
    [17]
    王光荣. 城市居民出行的小汽车依赖的治理[J]. 兰州学刊, 2010(5): 80-82. doi: 10.3969/j.issn.1005-3492.2010.05.021

    WANG Guangrong. City dwellers travel by car depending on governance[J]. Lanzhou Academic Journal, 2010(5): 80-82. (in Chinese). doi: 10.3969/j.issn.1005-3492.2010.05.021
    [18]
    CHAKRABARTI S, SHIN E J. Automobile dependence and physical inactivity: Insights from the California household travel survey[J]. Journal of Transport & Health, 2017(6): 262-271.
    [19]
    王丰龙, 王冬根. 北京市居民汽车使用的特征及其影响因素[J]. 地理学报, 2014, 69(6): 771-781. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201406005.htm

    WANG Fenglong, WANG Donggen. Characteristics and determinants of car use in Beijing[J]. Acta Geographica Sinica, 2014, 69(6): 771-781. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201406005.htm
    [20]
    GOLOB T F. Structural equation modeling for travel behavior research[J]. Transportation Research Part B: Methodological, 2003, 37(1): 1-25. http://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.escholarship.org%2Fuc%2Fitem%2F2pn5j58n.pdf%3Borigin%3Drepeccitec;h=repec:cdl:uctcwp:qt2pn5j58n
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