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Traffic Safety Perception, Attitude, and Feeder Mode Choice of Metro Commute: Evidence from Shenzhen

Author

Listed:
  • Yuanyuan Guo

    (Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong 999077, China)

  • Linchuan Yang

    (Department of Urban and Rural Planning, School of Architecture and Design, Southwest Jiaotong University, Chengdu 611756, China)

  • Wenke Huang

    (The Research Center for Artificial Intelligence, Peng Cheng Laboratory, Shenzhen 518000, China)

  • Yi Guo

    (Department of Geography, Hong Kong Baptist University, Hong Kong 999077, China)

Abstract

Like many other transit modes, the metro provides stop-to-stop services rather than door-to-door services, so its use undeniably involves first- and last-mile issues. Understanding the determinants of the first- and last-mile mode choice is essential. Existing literature, however, mostly overlooks the mode choice effects of traffic safety perception and attitudes toward the mode. To this end, based on a face-to-face questionnaire survey in Shenzhen, China, this study uses the two-sample t-test to confirm the systematic differences in traffic safety perception and attitudes between different subgroups and develops a series of multinomial logistic (MNL) models to identify the determinants of first- and last-mile mode choice for metro commuters. The results of this study show that: (1) Walking is the most frequently used travel mode, followed by dockless bike-sharing (DBS) and buses; (2) Variances in traffic safety perception and attitude exist across gender and location; (3) Vehicle-related crash risks discourage metro commuters from walking to/from the metro station but encourage them to use DBS and buses as feeder modes; (4) DBS–metro integration is encouraged by the attitude that DBS is quicker than buses and walking, and positive attitudes toward the bus and DBS availability are decisive for the bus–metro and DBS–metro integration, respectively; and (5) Substantial differences exist in the mode choice effects of traffic safety perception and attitudes for access and egress trips. This study provides a valuable reference for metro commuters’ first- and last-mile travel mode choice, contributing to developing a sustainable urban transport system.

Suggested Citation

  • Yuanyuan Guo & Linchuan Yang & Wenke Huang & Yi Guo, 2020. "Traffic Safety Perception, Attitude, and Feeder Mode Choice of Metro Commute: Evidence from Shenzhen," IJERPH, MDPI, vol. 17(24), pages 1-20, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9402-:d:462546
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    1. Steve O’Hern & Nora Estgfaeller, 2020. "A Scientometric Review of Powered Micromobility," Sustainability, MDPI, vol. 12(22), pages 1-21, November.
    2. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    3. Najaf, Pooya & Thill, Jean-Claude & Zhang, Wenjia & Fields, Milton Greg, 2018. "City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 257-270.
    4. H. M. Abdul Aziz & Nicholas N. Nagle & April M. Morton & Michael R. Hilliard & Devin A. White & Robert N. Stewart, 2018. "Exploring the impact of walk–bike infrastructure, safety perception, and built-environment on active transportation mode choice: a random parameter model using New York City commuter data," Transportation, Springer, vol. 45(5), pages 1207-1229, September.
    5. Jae Min Lee, 2020. "Exploring Walking Behavior in the Streets of New York City Using Hourly Pedestrian Count Data," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
    6. Johan Nilsson Sommar & Christer Johansson & Boel Lövenheim & Anders Markstedt & Magnus Strömgren & Bertil Forsberg, 2020. "Potential Effects on Travelers’ Air Pollution Exposure and Associated Mortality Estimated for a Mode Shift from Car to Bicycle Commuting," IJERPH, MDPI, vol. 17(20), pages 1-16, October.
    7. Patricia L. Mokhtarian & Michael N. Bagley, 2002. "The impact of residential neighborhood type on travel behavior: A structural equations modeling approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 36(2), pages 279-297.
    8. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    9. Rui Zhao & Linchuan Yang & Xinrong Liang & Yuanyuan Guo & Yi Lu & Yixuan Zhang & Xinyun Ren, 2019. "Last-Mile Travel Mode Choice: Data-Mining Hybrid with Multiple Attribute Decision Making," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    10. Keunhyun Park & Dong-Ah Choi & Guang Tian & Reid Ewing, 2019. "Not Parking Lots but Parks: A Joint Association of Parks and Transit Stations with Travel Behavior," IJERPH, MDPI, vol. 16(4), pages 1-9, February.
    11. Chandra, Shailesh & Bari, Muhammad Ehsanul & Devarasetty, Prem Chand & Vadali, Sharada, 2013. "Accessibility evaluations of feeder transit services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 47-63.
    12. Kai Wang & Xuhui Wang, 2020. "Providing Sports Venues on Mainland China: Implications for Promoting Leisure-Time Physical Activity and National Fitness Policies," IJERPH, MDPI, vol. 17(14), pages 1-11, July.
    13. Tran, Yen & Yamamoto, Toshiyuki & Sato, Hitomi & Miwa, Tomio & Morikawa, Takayuki, 2020. "The analysis of influences of attitudes on mode choice under highly unbalanced mode share patterns," Journal of choice modelling, Elsevier, vol. 36(C).
    14. Tran, Yen & Yamamoto, Toshiyuki & Sato, Hitomi, 2020. "The influences of environmentalism and attitude towards physical activity on mode choice: The new evidences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 211-226.
    15. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods?," University of California Transportation Center, Working Papers qt4nq9r1c9, University of California Transportation Center.
    16. Liu, Diyi & Du, Huibin & Southworth, Frank & Ma, Shoufeng, 2017. "The influence of social-psychological factors on the intention to choose low-carbon travel modes in Tianjin, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 42-53.
    17. Elias, Wafa & Shiftan, Yoram, 2012. "The influence of individual’s risk perception and attitudes on travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1241-1251.
    18. Zhao, Pengjun & Li, Shengxiao, 2017. "Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 46-60.
    19. Yang, Linchuan & Chu, Xiaoling & Gou, Zhonghua & Yang, Hongtai & Lu, Yi & Huang, Wencheng, 2020. "Accessibility and proximity effects of bus rapid transit on housing prices: Heterogeneity across price quantiles and space," Journal of Transport Geography, Elsevier, vol. 88(C).
    20. Salonen, Arto O., 2018. "Passenger's subjective traffic safety, in-vehicle security and emergency management in the driverless shuttle bus in Finland," Transport Policy, Elsevier, vol. 61(C), pages 106-110.
    21. Martens, Karel, 2007. "Promoting bike-and-ride: The Dutch experience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 326-338, May.
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