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Impact of Subjective and Objective Factors on Subway Travel Behavior: Spatial Differentiation

Author

Listed:
  • Qi Chen

    (College of Architecture and Urban Planning, Chongqing Jiaotong University, Chongqing 400074, China
    College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Yibo Yan

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Xu Zhang

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Jian Chen

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China)

Abstract

People’s perceptions and understanding of the built environment can shape and regulate travel intention and behavior. From the perspective of urban design, improving the built urban environment is an important way to encourage green travel. This study determined the impact path from the built environment to subway travel behavior, considering the intermediate effect of psychological factors. The impact path could provide feedback for optimizing the built environment, thereby improving the ratio of subway travel. In this study, the impact path hypothesis of “objective environment—subjective psychological—travel behavior” was first proposed, taking travelers’ psychological perceptions as the intermediary variable. Second, questionnaires and geographic information were used to measure the objective environment and subjective psychological perceptions. Third, a structural equation model was constructed to verify the proposed path hypothesis. Finally, multiscale geographically weighted regression was used to analyze the influence of subjective and objective factors on travel behavior and its spatial differences. The empirical case sampled 405 residents of Zhengzhou, China. The results verified the proposed impact path hypothesis and revealed spatial heterogeneity in its impact on travel behavior. The research explains how travel behavior is generated and could support the optimization of the urban built environment.

Suggested Citation

  • Qi Chen & Yibo Yan & Xu Zhang & Jian Chen, 2022. "Impact of Subjective and Objective Factors on Subway Travel Behavior: Spatial Differentiation," IJERPH, MDPI, vol. 19(23), pages 1-17, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15858-:d:987051
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    References listed on IDEAS

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    1. Ding, Chuan & Cao, Xinyu & Wang, Yunpeng, 2018. "Synergistic effects of the built environment and commuting programs on commute mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 104-118.
    2. Qi Chen & Yibo Yan & Xu Zhang & Jian Chen, 2022. "A Study on the Impact of Built Environment Elements on Satisfaction with Residency Whilst Considering Spatial Heterogeneity," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    5. Guang Tian & Reid Ewing & Rachel Weinberger & Kevin Shively & Preston Stinger & Shima Hamidi, 2017. "Trip and parking generation at transit-oriented developments: a case study of Redmond TOD, Seattle region," Transportation, Springer, vol. 44(5), pages 1235-1254, September.
    6. Lucas, Karen & Philips, Ian & Mulley, Corinne & Ma, Liang, 2018. "Is transport poverty socially or environmentally driven? Comparing the travel behaviours of two low-income populations living in central and peripheral locations in the same city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 622-634.
    7. Rahman, Mashrur & Sciara, Gian-Claudia, 2022. "Travel attitudes, the built environment and travel behavior relationships: Causal insights from social psychology theories," Transport Policy, Elsevier, vol. 123(C), pages 44-54.
    8. Liang Ma & Jennifer Dill & Cynthia Mohr, 2014. "The objective versus the perceived environment: what matters for bicycling?," Transportation, Springer, vol. 41(6), pages 1135-1152, November.
    9. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    10. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    11. Wu Li & Shengchuan Zhao & Jingwen Ma & Wenwen Qin, 2021. "Investigating Regional and Generational Heterogeneity in Low-Carbon Travel Behavior Intention Based on a PLS-SEM Approach," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    12. Sai Wang & Jianjun Wang & Weijia Li & Jialin Fan & Mingyu Liu & Giulio E. Cantarella, 2022. "Revealing the Influence Mechanism of Urban Built Environment on Online Car-Hailing Travel considering Orientation Entropy of Street Network," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-15, February.
    13. Jiandong Peng & Jiajie Qi & Changwei Cui & Jinming Yan & Qi Dai & Hong Yang, 2021. "Research on the Impact of the Built Environment on the Characteristics of Metropolis Rail Transit School Commuting—Take Wuhan as an Example," IJERPH, MDPI, vol. 18(18), pages 1-18, September.
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