IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i10p1749-d936926.html
   My bibliography  Save this article

Exploring the Role of Transit Ridership as a Proxy for Regional Centrality in Moderating the Relationship between the 3Ds and Street-Level Pedestrian Volume: Evidence from Seoul, Korea

Author

Listed:
  • Seung-Nam Kim

    (Department of Urban Design and Studies (209-707), Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea)

  • Juwon Chung

    (Department of Urban Planning and Design Research, The Seoul Institute, 57 Nambusunhwan-ro, 340-gil, Seocho-gu, Seoul 06756, Korea)

  • Junseung Lee

    (Department of Urban Design and Studies (207-737), Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea)

Abstract

The preference for walking and the resulting pedestrian activities have been considered key success factors for streets, neighborhoods, and cities alike. Although micro- and meso-scale built environment factors that encourage walking have been investigated, the role of macroscopic factors such as regional centrality in explaining street-level pedestrian volume is often neglected. Against this backdrop, this study examines the relationship between built environments and street-level pedestrian volume using Smart Card and pedestrian volume survey data from Seoul after controlling for transport ridership as a proxy for regional centrality. As a preliminary study, we analyzed 36 regression models applying different sets of transit ridership variables and found that the combination of bus ridership within 400 m and subway ridership within 300 m best explained the variation in pedestrian volume on a street. Then, the effects of the 3D variables (density, diversity, and design) on pedestrian volume were compared before and after controlling for ridership within this spatial range. The results demonstrated that, after taking transit ridership into account, the influence of built environment variables is generally reduced, and the decrease is more pronounced among walkshed-level 3D variables than street-level variables. Particularly, while the effect of “design” (street connectivity) on pedestrian volume appeared to be negatively significant in the constrained model, it was found to be insignificant in the unconstrained model which controlled for transit ridership. This suggests that the degree of street connectivity is influenced by regional centrality, and accordingly, the coefficient of the “design” variable in our constrained model might be biased. Thus, to accurately understand the effect of the meso-scale 3D variables on pedestrian volume, both micro- and macro-scale built environmental factors should be controlled.

Suggested Citation

  • Seung-Nam Kim & Juwon Chung & Junseung Lee, 2022. "Exploring the Role of Transit Ridership as a Proxy for Regional Centrality in Moderating the Relationship between the 3Ds and Street-Level Pedestrian Volume: Evidence from Seoul, Korea," Land, MDPI, vol. 11(10), pages 1-22, October.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1749-:d:936926
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/10/1749/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/10/1749/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim , Nam Seok & Susilo , Yusak O., 2013. "Comparison of pedestrian trip generation models," Working papers in Transport Economics 2013:22, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Haeryung Lee & Seung-Nam Kim, 2019. "Shared Space and Pedestrian Safety: Empirical Evidence from Pedestrian Priority Street Projects in Seoul, Korea," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    3. Wang, Jueyu & Cao, Xinyu, 2017. "Exploring built environment correlates of walking distance of transit egress in the Twin Cities," Journal of Transport Geography, Elsevier, vol. 64(C), pages 132-138.
    4. Park, Sungjin, 2008. "Defining, Measuring, and Evaluating Path Walkability, and Testing Its Impacts on Transit Users’ Mode Choice and Walking Distance to the Station," University of California Transportation Center, Working Papers qt0ct7c30p, University of California Transportation Center.
    5. Xinyu Cao & Susan Handy & Patricia Mokhtarian, 2006. "The Influences of the Built Environment and Residential Self-Selection on Pedestrian Behavior: Evidence from Austin, TX," Transportation, Springer, vol. 33(1), pages 1-20, January.
    6. Heechul Kim & Seungho Yang, 2017. "Neighborhood Walking and Social Capital: The Correlation between Walking Experience and Individual Perception of Social Capital," Sustainability, MDPI, vol. 9(5), pages 1-16, April.
    7. Peiravian, Farideddin & Derrible, Sybil & Ijaz, Farukh, 2014. "Development and application of the Pedestrian Environment Index (PEI)," Journal of Transport Geography, Elsevier, vol. 39(C), pages 73-84.
    8. Anastasia Loukaitou-Sideris, 2020. "Special issue on walking," Transport Reviews, Taylor & Francis Journals, vol. 40(2), pages 131-134, March.
    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. Ana Margarita Larranaga & Julián Arellana & Luis Ignacio Rizzi & Orlando Strambi & Helena Beatriz Bettella Cybis, 2019. "Using best–worst scaling to identify barriers to walkability: a study of Porto Alegre, Brazil," Transportation, Springer, vol. 46(6), pages 2347-2379, December.
    2. Tilahun, Nebiyou & Thakuriah, Piyushimita (Vonu) & Li, Moyin & Keita, Yaye, 2016. "Transit use and the work commute: Analyzing the role of last mile issues," Journal of Transport Geography, Elsevier, vol. 54(C), pages 359-368.
    3. Xuan Zhang & Lan Mu, 2020. "The perceived importance and objective measurement of walkability in the built environment rating," Environment and Planning B, , vol. 47(9), pages 1655-1671, November.
    4. Choobchian, Pooria & Mohammadi, Ali & Zou, Bo & Hair, Joseph F. & Valinejad, Mahsa & Shin, Jaeyong & Sriraj, P.S., 2024. "Calibrating walkability indicators for commute walk trips: A structural equation modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    5. Jina Mahmoudi & Lei Zhang, 2020. "Impact of the Built Environment Measured at Multiple Levels on Nonmotorized Travel Behavior: An Ecological Approach to a Florida Case Study," Sustainability, MDPI, vol. 12(21), pages 1-39, October.
    6. Alvaro Rodriguez-Valencia & Jose Agustin Vallejo-Borda & German A. Barrero & Hernan Alberto Ortiz-Ramirez, 2022. "Towards an enriched framework of service evaluation for pedestrian and bicyclist infrastructure: acknowledging the power of users’ perceptions," Transportation, Springer, vol. 49(3), pages 791-814, June.
    7. 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.
    8. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    9. Jie Gao & Dick Ettema & Marco Helbich & Carlijn B. M. Kamphuis, 2019. "Travel mode attitudes, urban context, and demographics: do they interact differently for bicycle commuting and cycling for other purposes?," Transportation, Springer, vol. 46(6), pages 2441-2463, December.
    10. Courtney Coughenour & Hanns de la Fuente-Mella & Alexander Paz, 2019. "Analysis of Self-Reported Walking for Transit in a Sprawling Urban Metropolitan Area in the Western U.S," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    11. Eric T. H. Chan & Tim Schwanen & David Banister, 2021. "The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China," Transportation, Springer, vol. 48(1), pages 431-454, February.
    12. Yu Du & Xian Ji & Chenxi Dou & Rui Wang, 2024. "Boosting Winter Green Travel: Prioritizing Built Environment Enhancements for Shared Bike Users Accessing Public Transit in the First/Last Mile Using Machine Learning and Grounded Theory," Sustainability, MDPI, vol. 16(22), pages 1-25, November.
    13. Albert Lee & Keiko Nakamura, 2021. "Engaging Diverse Community Groups to Promote Population Health through Healthy City Approach: Analysis of Successful Cases in Western Pacific Region," IJERPH, MDPI, vol. 18(12), pages 1-26, June.
    14. Delclòs-Alió, Xavier & Miralles-Guasch, Carme, 2018. "Looking at Barcelona through Jane Jacobs’s eyes: Mapping the basic conditions for urban vitality in a Mediterranean conurbation," Land Use Policy, Elsevier, vol. 75(C), pages 505-517.
    15. Haeryung Lee & Seung-Nam Kim, 2021. "Perceived Safety and Pedestrian Performance in Pedestrian Priority Streets (PPSs) in Seoul, Korea: A Virtual Reality Experiment and Trace Mapping," IJERPH, MDPI, vol. 18(5), pages 1-17, March.
    16. Xinyu Cao & Patricia L. Mokhtarian, 2012. "The connections among accessibility, self- selection and walking behaviour: a case study of Northern California residents," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 5, pages 73-95, Edward Elgar Publishing.
    17. 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.
    18. Juwon Chung & Seung-Nam Kim & Hyungkyoo Kim, 2019. "The Impact of PM 10 Levels on Pedestrian Volume: Findings from Streets in Seoul, South Korea," IJERPH, MDPI, vol. 16(23), pages 1-23, December.
    19. 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.
    20. Ismaïl Saadi & Roger Aganze & Mehdi Moeinaddini & Zohreh Asadi-Shekari & Mario Cools, 2021. "A Participatory Assessment of Perceived Neighbourhood Walkability in a Small Urban Environment," Sustainability, MDPI, vol. 14(1), pages 1-16, December.

    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:jlands:v:11:y:2022:i:10:p:1749-:d:936926. 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.