IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15858-d987051.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15858/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/15858/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Rosa Arroyo & Lidón Mars & Tomás Ruiz, 2018. "Perceptions of Pedestrian and Cyclist Environments, Travel Behaviors, and Social Networks," Sustainability, MDPI, vol. 10(9), pages 1-21, September.
    3. Verma, Meghna & Rahul, T.M. & Reddy, Peesari Vamshidhar & Verma, Ashish, 2016. "The factors influencing bicycling in the Bangalore city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 29-40.
    4. Laviolette, Jérôme & Morency, Catherine & Waygood, E.O.D., 2022. "A kilometer or a mile? Does buffer size matter when it comes to car ownership?," Journal of Transport Geography, Elsevier, vol. 104(C).
    5. Yin, Chun & Cao, Jason & Sun, Bindong & Liu, Jiahang, 2023. "Exploring built environment correlates of walking for different purposes: Evidence for substitution," Journal of Transport Geography, Elsevier, vol. 106(C).
    6. Liying Wang & Junya Wang & Pengxia Shen & Shangqing Liu & Shuwei Zhang, 2023. "Low-Carbon Travel Behavior in Daily Residence and Tourism Destination: Based on TPB-ABC Integrated Model," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    7. Qinglin Jia & Tao Zhang & Long Cheng & Gang Cheng & Minjie Jin, 2022. "The Impact of the Neighborhood Built Environment on the Walking Activity of Older Adults: A Multi-Scale Spatial Heterogeneity Analysis," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    8. Tao Zhang & Yibo Yan & Qi Chen & Ze Liu, 2022. "Evaluation Method of Composite Development Bus Terminal Using Multi-Source Data Processing," Land, MDPI, vol. 11(10), pages 1-14, October.
    9. Yang, Hongtai & Zheng, Rong & Li, Xuan & Huo, Jinghai & Yang, Linchuan & Zhu, Tong, 2022. "Nonlinear and threshold effects of the built environment on e-scooter sharing ridership," Journal of Transport Geography, Elsevier, vol. 104(C).
    10. Ding, Chuan & Cao, Xinyu & Liu, Chao, 2019. "How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds," Journal of Transport Geography, Elsevier, vol. 77(C), pages 70-78.
    11. Dandan Xu & Yang Bain & Shinan Shu & Xiaodong Zhang, 2022. "Staged Transition Process from Driving to Bicycling Based on the Effects of Latent Variables," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    12. Zhenbao Wang & Xin Gong & Yuchen Zhang & Shuyue Liu & Ning Chen, 2023. "Multi-Scale Geographically Weighted Elasticity Regression Model to Explore the Elastic Effects of the Built Environment on Ride-Hailing Ridership," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    13. Liu, Jixiang & Wang, Bo & Xiao, Longzhu, 2021. "Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach," Journal of Transport Geography, Elsevier, vol. 92(C).
    14. Bircan Arslannur & Ahmet Tortum, 2023. "Public Transport Modeling for Commuting in Cities with Different Development Levels Using Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 15(15), pages 1-24, August.
    15. Eldeeb, Gamal & Mohamed, Moataz & Páez, Antonio, 2021. "Built for active travel? Investigating the contextual effects of the built environment on transportation mode choice," Journal of Transport Geography, Elsevier, vol. 96(C).
    16. Ding, Chuan & Cao, Xinyu & Yu, Bin & Ju, Yang, 2021. "Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 22-35.
    17. Du, Qiang & Zhou, Yuqing & Huang, Youdan & Wang, Yalei & Bai, Libiao, 2022. "Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership," Journal of Transport Geography, Elsevier, vol. 102(C).
    18. Yang, Jiawen & Cao, Jason & Zhou, Yufei, 2021. "Elaborating non-linear associations and synergies of subway access and land uses with urban vitality in Shenzhen," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 74-88.
    19. Liang Ma & Jason Cao, 2019. "How perceptions mediate the effects of the built environment on travel behavior?," Transportation, Springer, vol. 46(1), pages 175-197, February.
    20. Xu, Yiming & Yan, Xiang & Liu, Xinyu & Zhao, Xilei, 2021. "Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 170-188.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15858-:d:987051. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.