IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i18p9885-d639259.html
   My bibliography  Save this article

Research on the Impact of the Built Environment on the Characteristics of Metropolis Rail Transit School Commuting—Take Wuhan as an Example

Author

Listed:
  • Jiandong Peng

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Jiajie Qi

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Changwei Cui

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Jinming Yan

    (Guangzhou Planning and Design Survey Research Institute, Guangzhou 510030, China)

  • Qi Dai

    (Wuhan Transportation Development Strategy Institute, Wuhan 430014, China)

  • Hong Yang

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

Abstract

The long-distance commute to school caused by urban sprawl and the car-oriented urban construction model are key factors leading to primary/middle school students being picked up by their parents in cars. Encouraging those students to take rail transit can reduce their dependence on cars. This paper uses a stepwise regression based on rail-transit swipe data to explore the influence of the built environment on rail-transit commuting characteristics in Wuhan, and uses a geographically weighted regression (GWR) model to analyze the spatial heterogeneity of significant influencing variables. The study found that: (1) 60% of students are one-way commuters; (2) 88.6% of students travel less than 10 km; (3) the floor area ratio, bus station density and whether the station is a transfer station have an obvious positive effect on the flow of commuters; (4) whether the station is a departure station has a positive effect on the commuting distance, but the mixed degree of land use and road density have a negative effect on the commuting distance. This research can assist cities in formulating built environment optimization measures and related policies to improve school-age children’s use of rail transit. This is important in the development of child-friendly cities.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9885-:d:639259
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/18/9885/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/18/9885/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Cervero, Robert, 1996. "Mixed land-uses and commuting: Evidence from the American Housing Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 361-377, September.
    3. Amith Yarlagadda & Sivaramakrishnan Srinivasan, 2008. "Modeling children’s school travel mode and parental escort decisions," Transportation, Springer, vol. 35(2), pages 201-218, March.
    4. Nguyen-Hoang, Phuong & Yinger, John, 2011. "The capitalization of school quality into house values: A review," Journal of Housing Economics, Elsevier, vol. 20(1), pages 30-48, March.
    5. Mitra, Raktim & Buliung, Ron N., 2012. "Built environment correlates of active school transportation: neighborhood and the modifiable areal unit problem," Journal of Transport Geography, Elsevier, vol. 20(1), pages 51-61.
    6. Michael Manville, 2017. "Travel and the Built Environment: Time for Change," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 29-32, January.
    7. Jessica Guo & Cynthia Chen, 2007. "The built environment and travel behavior: making the connection," Transportation, Springer, vol. 34(5), pages 529-533, September.
    8. Mackett, Roger L., 2013. "Children’s travel behaviour and its health implications," Transport Policy, Elsevier, vol. 26(C), pages 66-72.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Yang & Min, Shisheng & Shi, Zhuangbin & He, Mingwei, 2024. "Exploring students' choice of active travel to school in different spatial environments: A case study in a mountain city," Journal of Transport Geography, Elsevier, vol. 115(C).
    2. 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.
    3. 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.

    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. Stark, Juliane & Beyer Bartana, Ilil & Fritz, Alexander & Unbehaun, Wiebke & Hössinger, Reinhard, 2018. "The influence of external factors on children's travel mode: A comparison of school trips and non-school trips," Journal of Transport Geography, Elsevier, vol. 68(C), pages 55-66.
    2. Bjerkan, Kristin Ystmark & Nordtømme, Marianne Elvsaas, 2014. "Car use in the leisure lives of adolescents. Does household structure matter?," Transport Policy, Elsevier, vol. 33(C), pages 1-7.
    3. Xiaofeng Ji & Haotian Guan & Mengyuan Lu & Fang Chen & Wenwen Qin, 2022. "International Research Progress in School Travel and Behavior: A Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
    4. Mitra, Raktim & Buliung, Ron N., 2014. "The influence of neighborhood environment and household travel interactions on school travel behavior: an exploration using geographically-weighted models," Journal of Transport Geography, Elsevier, vol. 36(C), pages 69-78.
    5. Buliung, Ronald & Hess, Paul & Flowers, Lori & Moola, Fiona J. & Faulkner, Guy, 2021. "Living the journey to school: Conceptual asymmetry between parents and planners on the journey to school," Social Science & Medicine, Elsevier, vol. 284(C).
    6. Yusak O. Susilo & Chengxi Liu, 2016. "The influence of parents’ travel patterns, perceptions and residential self-selectivity to their children travel mode shares," Transportation, Springer, vol. 43(2), pages 357-378, March.
    7. Liya Yang & Lingqian Hu & Zhenbo Wang, 2019. "The built environment and trip chaining behaviour revisited: The joint effects of the modifiable areal unit problem and tour purpose," Urban Studies, Urban Studies Journal Limited, vol. 56(4), pages 795-817, March.
    8. 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.
    9. Kwoka, Gregory J. & Boschmann, E. Eric & Goetz, Andrew R., 2015. "The impact of transit station areas on the travel behaviors of workers in Denver, Colorado," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 277-287.
    10. Li, Jingjing & Kim, Changjoo & Sang, Sunhee, 2018. "Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors," Journal of Transport Geography, Elsevier, vol. 70(C), pages 141-147.
    11. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    12. Thi Mai Chi Nguyen & Hironori Kato & Le Binh Phan, 2020. "Is Built Environment Associated with Travel Mode Choice in Developing Cities? Evidence from Hanoi," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    13. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
    14. Faizeh Hatami & Jean-Claude Thill, 2022. "Spatiotemporal Evaluation of the Built Environment’s Impact on Commuting Duration," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    15. Enayat Mirzaei & Dominique Mignot, 2021. "An Empirical Analysis of Mode Choice Decision for Utilitarian and Hedonic Trips: Evidence from Iran," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    16. Steven R Gehrke & Kelly J Clifton, 2019. "An activity-related land use mix construct and its connection to pedestrian travel," Environment and Planning B, , vol. 46(1), pages 9-26, January.
    17. Zheng, Zhong & Zhou, Suhong & Deng, Xingdong, 2021. "Exploring both home-based and work-based jobs-housing balance by distance decay effect," Journal of Transport Geography, Elsevier, vol. 93(C).
    18. Vergel-Tovar, C. Erik & Rodriguez, Daniel A., 2018. "The ridership performance of the built environment for BRT systems: Evidence from Latin America," Journal of Transport Geography, Elsevier, vol. 73(C), pages 172-184.
    19. De Vos, Jonas & Van Acker, Veronique & Witlox, Frank, 2014. "The influence of attitudes on Transit-Oriented Development: An explorative analysis," Transport Policy, Elsevier, vol. 35(C), pages 326-329.
    20. 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).

    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:18:y:2021:i:18:p:9885-:d:639259. 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.