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TOD Zoning Planning: Floor Area Ratio Attenuation Rate and Center Migration Trajectory

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  • Tiefeng Chai

    (School of Architecture and Urban Planning, Chongqing University, Chongqing 400045, China
    Sichuan Provincial Architectural Design and Research Institute, Chengdu 610095, China)

  • Feng Lu

    (School of Architecture and Urban Planning, Chongqing University, Chongqing 400045, China)

  • Jing Gao

    (Sichuan Provincial Architectural Design and Research Institute, Chengdu 610095, China)

  • Xin Deng

    (Sichuan Provincial Architectural Design and Research Institute, Chengdu 610095, China)

  • Rui Gao

    (Sichuan Provincial Architectural Design and Research Institute, Chengdu 610095, China)

  • Qingsong He

    (Sichuan Provincial Architectural Design and Research Institute, Chengdu 610095, China)

Abstract

A Transit-Oriented Development (TOD) strategy aims to reshape the spatial structure of high-density cities by encouraging the development of functional compounding and centralizing development goals. As a primary planning model, TOD station areas are based on zones’ structure. Studies have confirmed, however, that the current land structure between zones displays a high degree of homogeneity. There are several issues shown here, such as blurred station boundaries, spatial confusion, and a deviation of the TOD center. Based on the corridor effect theory, differentiated distribution characteristics of land structural elements are determined between zones. To clarify the difference between station zones, this study uses the floor area ratio attenuation rate as its primary method. As well as measuring their changes, it also measures their trends. The purpose of this study is to investigate the interactive relationship between multiple elements in the station zoning planning process. Also, it aims to explore the endogenous relationship of the station area with its existing spatial characteristics. Accordingly, a zoning planning model of 200–400–700 m is proposed, which lays the foundation for future research on standards for boundary delineation and center migration trajectory rules for station area zones.

Suggested Citation

  • Tiefeng Chai & Feng Lu & Jing Gao & Xin Deng & Rui Gao & Qingsong He, 2025. "TOD Zoning Planning: Floor Area Ratio Attenuation Rate and Center Migration Trajectory," Land, MDPI, vol. 14(6), pages 1-25, June.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:6:p:1200-:d:1671350
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    References listed on IDEAS

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    1. Wang, Jiaoe & Tan, Wenwei & Huang, Jie, 2024. "Extending TOD through the interrelationship between transport and land use: A case study of Beijing," Land Use Policy, Elsevier, vol. 144(C).
    2. Huang, Yu & Parker, Dawn & Minaker, Leia, 2021. "Identifying latent demand for transit-oriented development neighbourhoods: Evidence from a mid-sized urban area in Canada," Journal of Transport Geography, Elsevier, vol. 90(C).
    3. Luhui Qi & Liqi Jia & Yubin Luo & Yuanyi Chen & Minggang Peng, 2022. "The External Characteristics and Mechanism of Urban Road Corridors to Agglomeration: Case Study for Guangzhou, China," Land, MDPI, vol. 11(7), pages 1-17, July.
    4. Pan, Huijun & Huang, Yu, 2024. "TOD typology and station area vibrancy: An interpretable machine learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 186(C).
    5. Xu, Chen & Bin, Qiu & Shaoqin, Sun, 2021. "Polycentric spatial structure and energy efficiency: Evidence from China's provincial panel data," Energy Policy, Elsevier, vol. 149(C).
    6. Shumin Dong & Yuting Xue & Guixiu Ren & Kai Liu, 2022. "Urban Green Innovation Efficiency in China: Spatiotemporal Evolution and Influencing Factors," Land, MDPI, vol. 12(1), pages 1-13, December.
    7. Bo Wan & Xudan Zhao & Yuhan Sun & Tao Yang, 2023. "Unraveling the Impact of Spatial Configuration on TOD Function Mix Use and Spatial Intensity: An Analysis of 47 Morning Top-Flow Stations in Beijing (2018–2020)," Sustainability, MDPI, vol. 15(10), pages 1-27, May.
    8. Todor Stojanovski, 2020. "Urban design and public transportation – public spaces, visual proximity and Transit-Oriented Development (TOD)," Journal of Urban Design, Taylor & Francis Journals, vol. 25(1), pages 134-154, January.
    9. Xinyu Zhuang & Li Zhang & Jie Lu, 2022. "Past—Present—Future: Urban Spatial Succession and Transition of Rail Transit Station Zones in Japan," IJERPH, MDPI, vol. 19(20), pages 1-35, October.
    10. Higgins, Christopher D. & Kanaroglou, Pavlos S., 2016. "A latent class method for classifying and evaluating the performance of station area transit-oriented development in the Toronto region," Journal of Transport Geography, Elsevier, vol. 52(C), pages 61-72.
    11. Peng, Ya-Ting & Li, Zhi-Chun & Choi, Keechoo, 2017. "Transit-oriented development in an urban rail transportation corridor," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 269-290.
    12. Dröes, Martijn I. & Rietveld, Piet, 2015. "Rail-based public transport and urban spatial structure: The interplay between network design, congestion and urban form," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 421-439.
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