IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i15p6518-d1446316.html
   My bibliography  Save this article

Non-Linear Impact of Economic Performance on Social Equity in Rail Transit Station Areas

Author

Listed:
  • Tianyue Wan

    (Research Section of Environment Design, School of Architecture and Fine Art, Dalian University of Technology, Dalian 116023, China)

  • Wei Lu

    (Research Section of Environment Design, School of Architecture and Fine Art, Dalian University of Technology, Dalian 116023, China)

  • Xiaodong Na

    (China Mobile (Hangzhou) Information Technology Company Limited, Hangzhou 311100, China)

  • Wenzhi Rong

    (Dalian Territory Spatial Planning and Design Co., Ltd., Dalian 116011, China)

Abstract

Rail transit station areas (RSAs) are heralded as a transformative approach to urban planning, emphasizing the integration of transportation, housing, and commercial development to foster sustainable and inclusive cities. This study presents a comprehensive exploration of the interplay between transit-oriented development (TOD) economic performance and social equity in RSAs, employing advanced methodologies, like eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAPs), to decipher the complex relationships between TOD characteristics and social equity outcomes. Focused on Dalian’s urban center, this study integrates diverse datasets, including mobile location, geospatial, and economic price data, to construct a nuanced analysis framework within the NPE (node–place–economic) model. The results indicate that economic factors significantly impact overall social equity, particularly influencing key variables, such as weekday and weekend commuter population densities. Local explanatory plots reveal that economic performance variables associated with transportation development exhibit a broad non-linear impact on social equity in RSAs. This study advances equitable urban development through TOD by stressing the importance of factoring in multiple variables in RSA planning. This approach is vital for creating synergistic effects, fostering equitable spatial planning, and has both theoretical and practical benefits for improving residents’ well-being.

Suggested Citation

  • Tianyue Wan & Wei Lu & Xiaodong Na & Wenzhi Rong, 2024. "Non-Linear Impact of Economic Performance on Social Equity in Rail Transit Station Areas," Sustainability, MDPI, vol. 16(15), pages 1-27, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6518-:d:1446316
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/15/6518/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/15/6518/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Zhiheng & Li, Peiran & Jin, YanXiu & Bharule, Shreyas & Jia, Ning & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke & Zhang, Haoran, 2023. "Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: A case of Tokyo," Transport Policy, Elsevier, vol. 132(C), pages 65-75.
    2. Jenny Schuetz, 2015. "Do rail transit stations encourage neighbourhood retail activity?," Urban Studies, Urban Studies Journal Limited, vol. 52(14), pages 2699-2723, November.
    3. Chorus, Paul & Bertolini, Luca, 2011. "An application of the node-place model to explore the spatial development dynamics of station areas in Tokyo," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 4(1), pages 45-58.
    4. Ghebreegziabiher Debrezion & Eric Pels & Piet Rietveld, 2007. "The Impact of Railway Stations on Residential and Commercial Property Value: A Meta-analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 161-180, August.
    5. Zhang, Chunqin & Liu, Yong & Lu, Weite & Xiao, Guangnian, 2019. "Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 149-164.
    6. Yizhou Wu & Xiaohong Zheng & Li Sheng & Heyuan You, 2020. "Exploring the Equity and Spatial Evidence of Educational Facilities in Hangzhou, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 1075-1096, October.
    7. Yuning Wang & Duanfang Lu & David Levinson, 2023. "Equilibrium or imbalance? Rail Transit and Land Use Mix in Station Areas," Transportation, Springer, vol. 50(6), pages 2403-2421, December.
    8. Vale, David S. & Viana, Cláudia M. & Pereira, Mauro, 2018. "The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon's subway network," Journal of Transport Geography, Elsevier, vol. 69(C), pages 282-293.
    9. Michael Wegener & Franz Fuerst, 2004. "Land-Use Transport Interaction: State of the Art," Urban/Regional 0409005, University Library of Munich, Germany.
    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. Morikawa, So & Aoyama, Miwa & Kato, Hironori, 2023. "Development of railway station plazas: Impact on land prices of surrounding areas," Transport Policy, Elsevier, vol. 142(C), pages 1-14.
    2. Dehui Shi & Meichen Fu, 2022. "How Does Rail Transit Affect the Spatial Differentiation of Urban Residential Prices? A Case Study of Beijing Subway," Land, MDPI, vol. 11(10), pages 1-19, October.
    3. Wei Wu & Prasanna Divigalpitiya, 2022. "Assessment of Accessibility and Activity Intensity to Identify Future Development Priority TODs in Hefei City," Land, MDPI, vol. 11(9), pages 1-17, September.
    4. Verachtert, Els & Mayeres, Inge & Vermeiren, Karolien & Van der Meulen, Maarten & Vanhulsel, Marlies & Vanderstraeten, Geoffrey & Loris, Isabelle & Mertens, Geert & Engelen, Guy & Poelmans, Lien, 2023. "Mapping regional accessibility of public transport and services in support of spatial planning: A case study in Flanders," Land Use Policy, Elsevier, vol. 133(C).
    5. Zhong, Haotian & Li, Wei, 2016. "Rail transit investment and property values: An old tale retold," Transport Policy, Elsevier, vol. 51(C), pages 33-48.
    6. Zhou, Mingzhi & Zhou, Jiali & Zhou, Jiangping & Lei, Shuyu & Zhao, Zhan, 2023. "Introducing social contacts into the node-place model: A case study of Hong Kong," Journal of Transport Geography, Elsevier, vol. 107(C).
    7. Pezeshknejad, Parsa & Monajem, Saeed & Mozafari, Hamid, 2020. "Evaluating sustainability and land use integration of BRT stations via extended node place model, an application on BRT stations of Tehran," Journal of Transport Geography, Elsevier, vol. 82(C).
    8. Zijing Chen & Tao Wu & Linna Gao & Ye Zhou, 2024. "Comparative Analysis of Transit-Oriented Development (TOD) Types in the Metropolitan Region Along the Middle Reaches of the Yangtze River," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    9. Tornabene, Sara & Nilsson, Isabelle, 2021. "Rail transit investments and economic development: Challenges for small businesses," Journal of Transport Geography, Elsevier, vol. 94(C).
    10. Zhang, Yuerong & Marshall, Stephen & Manley, Ed, 2019. "Network criticality and the node-place-design model: Classifying metro station areas in Greater London," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    11. Genevieve Giuliano & Jenny Schuetz & Eun Jin Shin, 2016. "Is Los Angeles Becoming Transit Oriented?," Finance and Economics Discussion Series 2016-4, Board of Governors of the Federal Reserve System (U.S.).
    12. Nigro, Antonio & Bertolini, Luca & Moccia, Francesco Domenico, 2019. "Land use and public transport integration in small cities and towns: Assessment methodology and application," Journal of Transport Geography, Elsevier, vol. 74(C), pages 110-124.
    13. Rayane Nemroudi & Armando Ortuño & Maria Flor & Begoña Guirao, 2024. "Application of the Node–Place Model in Algiers (Algeria)," Sustainability, MDPI, vol. 16(15), pages 1-16, July.
    14. Scott N Lieske & Ryan van den Nouwelant & Jung Hoon Han & Christopher Pettit, 2021. "A novel hedonic price modelling approach for estimating the impact of transportation infrastructure on property prices," Urban Studies, Urban Studies Journal Limited, vol. 58(1), pages 182-202, January.
    15. Champagne, Marie-Pier & Dubé, Jean, 2023. "The impact of transport infrastructure on firms’ location decision: A meta-analysis based on a systematic literature review," Transport Policy, Elsevier, vol. 131(C), pages 139-155.
    16. Tabea S Sonnenschein & Simon Scheider & Siqi Zheng, 2022. "The rebirth of urban subcenters: How subway expansion impacts the spatial structure and mix of amenities in European cities," Environment and Planning B, , vol. 49(4), pages 1266-1282, May.
    17. Su, Shiliang & Zhang, Hui & Wang, Miao & Weng, Min & Kang, Mengjun, 2021. "Transit-oriented development (TOD) typologies around metro station areas in urban China: A comparative analysis of five typical megacities for planning implications," Journal of Transport Geography, Elsevier, vol. 90(C).
    18. Zheng, Lingwei & Austwick, Martin Zaltz, 2023. "Classifying station areas in greater Manchester using the node-place-design model: A comparative analysis with system centrality and green space coverage," Journal of Transport Geography, Elsevier, vol. 112(C).
    19. Champagne, Marie-Pier & Dubé, Jean & Barla, Philippe, 2022. "Build it and they will come: How does a new public transit station influence building construction?," Journal of Transport Geography, Elsevier, vol. 100(C).
    20. Doina Olaru & Simon Moncrieff & Gary McCarney & Yuchao Sun & Tristan Reed & Cate Pattison & Brett Smith & Sharon Biermann, 2019. "Place vs. Node Transit: Planning Policies Revisited," Sustainability, MDPI, vol. 11(2), pages 1-14, January.

    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:jsusta:v:16:y:2024:i:15:p:6518-:d:1446316. 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.