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Evaluation of Sustainable Development Potential of Railway Station Areas in Guangzhou Metropolitan Area: Based on the Extended “Node–Place–Support” Model

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Listed:
  • Jiawei Li

    (School of Architecture, Southwest Jiaotong University, Chengdu 611756, China)

  • Zhongwei Shen

    (School of Architecture, Southwest Jiaotong University, Chengdu 611756, China)

  • Jiexi Ma

    (School of Architecture, Southwest Jiaotong University, Chengdu 611756, China)

  • Yangguang Hao

    (School of Architecture, Southwest Jiaotong University, Chengdu 611756, China)

  • Rusi Zeng

    (College of Architecture and Environment, Sichuan University, Chengdu 610000, China
    Institute of Urbanization Strategy and Architecture, Sichuan University, Chengdu 610000, China)

  • Ziqi Lin

    (School of Architecture, Southwest Jiaotong University, Chengdu 611756, China)

Abstract

As metropolitan regions expand, railway station areas (RSAs) encounter unprecedented challenges and opportunities regarding sustainability, influenced by transportation, location, and urban factors. However, there is currently a lack of models that assess the sustainable development status of RSAs from a macro perspective of regional integration. This study innovatively incorporates the dimension of city support into the traditional Node–Place (NP) model, constructing the “Node–Place–Support” (NPS) model. This model consists of three dimensions and 21 indicators, utilizing the entropy weight method and AHP methods to conduct a comprehensive assessment of the sustainable development levels of 12 RSAs within the Guangzhou metropolitan area. The results indicate that, compared to the traditional NP model, the NPS model effectively reveals the unique factors influencing the development of RSAs within the metropolitan area, emphasizing the collaborative importance of city support, transportation capacity, and station attractiveness. Furthermore, according to the new classification method of the NPS model, the 12 research samples can be categorized into four categories and seven subcategories. Lastly, optimization strategies should be tailored to the specific development status of RSAs and the characteristics of the city. This study presents a new paradigm for assessing and enhancing RSA sustainability, advocating for strategies tailored to local conditions.

Suggested Citation

  • Jiawei Li & Zhongwei Shen & Jiexi Ma & Yangguang Hao & Rusi Zeng & Ziqi Lin, 2025. "Evaluation of Sustainable Development Potential of Railway Station Areas in Guangzhou Metropolitan Area: Based on the Extended “Node–Place–Support” Model," Land, MDPI, vol. 14(2), pages 1-24, February.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:2:p:369-:d:1588206
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    References listed on IDEAS

    as
    1. Liu, Xize & Chen, Wendong & Chen, Xuewu & Chen, Jingxu & Cheng, Long, 2023. "Analyzing sustainable competitiveness of inter-city coach from the impact of high-speed railway opening in Jiangsu Province, China," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    2. Yulin Zhao & Linkun Li & Zhishuo Zhang & Daniel (Jian) Sun, 2024. "Performance Evaluation for the Expansion of Multi-Level Rail Transit Network in Xi’an Metropolitan Area: Empirical Analysis on Accessibility and Resilience," Land, MDPI, vol. 13(10), pages 1-26, October.
    3. Yanan Gao & Xu Cui & Xiaozheng Sun, 2024. "Land Use Characteristics of Commuter Rail Station Areas and Their Impact on Station Ridership: A Case Study of Japan Railways in the Tokyo Metropolitan Area," Land, MDPI, vol. 13(12), pages 1-23, November.
    4. Shaopei Chen & Dachang Zhuang, 2020. "Evolution and Evaluation of the Guangzhou Metro Network Topology Based on an Integration of Complex Network Analysis and GIS," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
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