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Metro Stations as Catalysts for Land Use Patterns: Evidence from Wuhan Line 11

Author

Listed:
  • Yaoning Yang

    (School of Architecture and Planning, Yunnan University, Kunming 650500, China
    Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing 400045, China)

  • Juncheng Zeng

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
    College of Engineering Sciences, Hanyang University ERICA, Ansan 15588, Republic of Korea)

  • Junfeng Yin

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Pengrui Wu

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Genyu Xu

    (School of Architecture and Planning, Yunnan University, Kunming 650500, China)

  • Chuanbao Jing

    (School of Ecology and Environmental Science, Yunnan University, Kunming 650500, China)

  • Jie Zhou

    (School of Architecture and Planning, Yunnan University, Kunming 650500, China)

  • Xun Wen

    (School of Architecture and Planning, Yunnan University, Kunming 650500, China)

  • Johannes Reinders

    (Faculty of Architecture, Technical University of Berlin, 10623 Berlin, Germany)

  • Wasita Amatyakul

    (Faculty of Architecture, Technical University of Berlin, 10623 Berlin, Germany)

  • Sebastian Orozco Munoz

    (Faculty of Architecture, Technical University of Berlin, 10623 Berlin, Germany)

  • Tao Chen

    (School of Architecture and Planning, Yunnan University, Kunming 650500, China)

Abstract

Urban rail transit systems significantly influence land use patterns in newly developed areas, yet their impact on spatial organization and functional characteristics remains understudied. This research examines Wuhan Metro Line 11, analyzing land use within an 800 m radius of stations using Point of Interest data, ArcGIS spatial analysis, and locational entropy methods. The study reveals three station types, i.e., single-function, mixed-function, and underdeveloped, each exhibiting distinct spatial differentiation patterns. On this basis, a novel “core-diffusion” model emerges, with the highest density of functional elements observed at approximately 600 m from station centers, challenging conventional proximity assumptions. Three spatial organization modes are identified: single-core independent in two-level axis, single-core continuous in single-level axis, and double-core continuous in two-level axis. These findings contribute to the Transit-Oriented Development literature, offering sustainable insights into optimizing land use around metro stations in rapidly urbanizing contexts. This study also provides a methodological framework applicable to similar urban environments, enhancing the understanding of the complex relationships between metro development and surrounding land use patterns. These results have significant implications for urban planning and policy-making, particularly in emerging economies seeking to balance transit efficiency with sustainable urban growth.

Suggested Citation

  • Yaoning Yang & Juncheng Zeng & Junfeng Yin & Pengrui Wu & Genyu Xu & Chuanbao Jing & Jie Zhou & Xun Wen & Johannes Reinders & Wasita Amatyakul & Sebastian Orozco Munoz & Tao Chen, 2024. "Metro Stations as Catalysts for Land Use Patterns: Evidence from Wuhan Line 11," Sustainability, MDPI, vol. 16(15), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6320-:d:1441677
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    References listed on IDEAS

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    1. Ziyan Zheng & Fangdao Qiu & Xinlin Zhang, 2020. "Heterogeneity of correlation between the locational condition and industrial transformation of regenerative resource‐based cities in China," Growth and Change, Wiley Blackwell, vol. 51(2), pages 771-791, June.
    2. Jonathan Cowie & Sarah Loynes, 2012. "An assessment of cost management regimes in British rail infrastructure provision," Transportation, Springer, vol. 39(6), pages 1281-1299, November.
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    Cited by:

    1. Ke Chen & Fei Fu & Fangzhou Tian & Liwei Lin & Can Du, 2025. "Spatiotemporal Prediction of the Impact of Dynamic Passenger Flow at Subway Stations on the Sustainable Industrial Heritage Land Use," Sustainability, MDPI, vol. 17(8), pages 1-21, April.

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