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Methods for the Performance Evaluation and Design Optimization of Metro Transit-Oriented Development Sites Based on Urban Big Data

Author

Listed:
  • Huadong Chen

    (Department of Transportation Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Kai Zhao

    (HYP Architecture Co., Ltd., Shanghai 201208, China)

  • Zhan Zhang

    (Department of Design, School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Haodong Zhang

    (Department of Transportation Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Linjun Lu

    (Department of Transportation Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

Numerous researchers have endeavored to amalgamate critical transit-oriented development (TOD) indicators, such as development density, walkability, and diversity, into a single TOD index to assess TOD performance. However, implementing TOD in megacities necessitates a more comprehensive selection of indicators, an objective calculation methodology, and accessible calculation data for the TOD index. This study introduces a method based on multi-indicator TOD performance assessment using multi-source urban big data; it uses Shanghai as a case study to evaluate and analyze the impact of site characteristics on performance. The method constructs the Comprehensive Socio-Economic Development Index (CSEDI) based on four indicators of TOD site operations. It establishes a multivariate regression model utilizing principal component analysis to extract 22 leading component indicators as independent variables from 71 indicators associated with TOD. Within the sample space of 77 rail transit TOD sites in Shanghai, the CSEDI exhibited a robust correlation with the independent variables. The evaluation results of the case study demonstrate consistency with the development characteristics of the city and the sites, indicating that the evaluation method can guide the renovation of existing sites and the development of new sites.

Suggested Citation

  • Huadong Chen & Kai Zhao & Zhan Zhang & Haodong Zhang & Linjun Lu, 2024. "Methods for the Performance Evaluation and Design Optimization of Metro Transit-Oriented Development Sites Based on Urban Big Data," Land, MDPI, vol. 13(8), pages 1-23, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1233-:d:1452176
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    References listed on IDEAS

    as
    1. Shengxiao Li & Luoye Chen & Pengjun Zhao, 2019. "The impact of metro services on housing prices: a case study from Beijing," Transportation, Springer, vol. 46(4), pages 1291-1317, August.
    2. Singh, Yamini Jain & Lukman, Azhari & Flacke, Johannes & Zuidgeest, Mark & Van Maarseveen, M.F.A.M., 2017. "Measuring TOD around transit nodes - Towards TOD policy," Transport Policy, Elsevier, vol. 56(C), pages 96-111.
    3. Liwei Bai & Lelong Xie & Chaoyang Li & Shengqiang Yuan & Dening Niu & Tao Wang & Zheng Yang & Yi Zhang, 2023. "The Conceptual Framework of Smart TOD: An Integration of Smart City and TOD," Land, MDPI, vol. 12(3), pages 1-23, March.
    4. Hiroaki Suzuki & Robert Cervero & Kanako Iuchi, 2013. "Transforming Cities with Transit : Transit and Land-Use Integration for Sustainable Urban Development [Transformando las ciudades con el transporte público : integración del transporte público y el," World Bank Publications - Books, The World Bank Group, number 12233.
    5. Ren Thomas & Dorina Pojani & Sander Lenferink & Luca Bertolini & Dominic Stead & Erwin van der Krabben, 2018. "Is transit-oriented development (TOD) an internationally transferable policy concept?," Regional Studies, Taylor & Francis Journals, vol. 52(9), pages 1201-1213, September.
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