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Risk Evaluation of Urban Subway Site Selection: Balance, Attractiveness, and Financing Models

Author

Listed:
  • Yun Liu

    (College of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Zhiqiang Xie

    (College of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Ping Wen

    (Kunming Engineering Corporation Limited, Kunming 650500, China
    International Institute of River and Ecological Security, Yunnan University, Kunming 650500, China)

  • Chunhou Ji

    (International Institute of River and Ecological Security, Yunnan University, Kunming 650500, China)

  • Ling Zhu

    (College of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Qisheng Wang

    (College of Earth Sciences, Yunnan University, Kunming 650500, China)

  • Zheng Zhang

    (International Institute of River and Ecological Security, Yunnan University, Kunming 650500, China)

  • Zhuoqian Xiao

    (International Institute of River and Ecological Security, Yunnan University, Kunming 650500, China)

  • Bojin Ning

    (Kunming Urban Planning & Design Institute Corporation Limited, Kunming 650500, China)

  • Quan Zhu

    (Kunming Institute of Transportation Science, Kunming 650500, China)

  • Yan Yang

    (Kunming Municipal Bureau of Natural Resources and Planning, Kunming 650500, China)

Abstract

As a crucial form of public transportation, subways are becoming essential infrastructure that cities in China increasingly prioritize for development. However, there is a lack of effective risk assessment methods for subway station and line siting. To address this gap, this paper uses the subway system in Kunming, China, as a case study, establishing a subway site risk evaluation framework (SIRE-BAF) that integrates three dimensions: balance (B), attractiveness (A), and financing mode (F). An extended NP-RV model is proposed to assess the balance (or imbalance) characteristics of subway stations based on sub-dimensions of traffic supply, land use, and urban vitality. Findings indicate that (1) the balance (or imbalance) of subway stations is distinctly distributed along the line and simultaneously exhibits a spatial pattern radiating from the urban core to the periphery. (2) Stations with high urban vitality and minimal imbalance are highly attractive and tend to face “undersupply” during operation, whereas stations with lower attractiveness are more prone to “oversupply”. A higher level of BAF coupling coordination suggests a more suitable subway site selection and lower investment risk, while lower coupling coordination indicates increased risk. (3) Excessive reliance on the “subway + real estate” model, without considering urban vitality, may lead to high vacancy rates and reduced efficiency in subway service. This paper further assesses the site selection risks for the proposed Kunming subway. This study contributes to risk assessments of existing subway operations and maintenance in Chinese cities, enhances planning rationality and site selection for proposed subways, and holds potential applicability for other cities.

Suggested Citation

  • Yun Liu & Zhiqiang Xie & Ping Wen & Chunhou Ji & Ling Zhu & Qisheng Wang & Zheng Zhang & Zhuoqian Xiao & Bojin Ning & Quan Zhu & Yan Yang, 2024. "Risk Evaluation of Urban Subway Site Selection: Balance, Attractiveness, and Financing Models," Land, MDPI, vol. 13(12), pages 1-27, November.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2015-:d:1529749
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    References listed on IDEAS

    as
    1. Reusser, Dominik E. & Loukopoulos, Peter & Stauffacher, Michael & Scholz, Roland W., 2008. "Classifying railway stations for sustainable transitions – balancing node and place functions," Journal of Transport Geography, Elsevier, vol. 16(3), pages 191-202.
    2. Franco, Sofia F. & Cutter, W. Bowman, 2022. "The determinants of non-residential real estate values with special reference to environmental local amenities," Ecological Economics, Elsevier, vol. 201(C).
    3. 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.
    4. 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.
    5. Champagne, Marie-Pier & Dubé, Jean & Legros, Diègo, 2024. "Standing strong? The causal impact of metro stations on service firms’ survival," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    6. Kexin Lei & Quanhua Hou & Yaqiong Duan & Yafei Xi & Su Chen & Yitong Miao & Haiyan Tong & Ziye Hu, 2024. "The Spatiotemporal Matching Relationship between Metro Networks and Urban Population from an Evolutionary Perspective: Passive Adaptation or Active Guidance?," Land, MDPI, vol. 13(8), pages 1-23, August.
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