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Characterizing metro stations via urban function: Thematic evidence from transit-oriented development (TOD) in Hong Kong

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  • Yu, Zidong
  • Zhu, Xiaolin
  • Liu, Xintao

Abstract

The strategies using transit-oriented development (TOD) to optimize transportation sustainability have been implemented in many metropolitan areas and extended beyond the role of exclusively offering transit services. Research findings from existing literature have largely shown that metro station catchment areas can attract a substantial number of urban functions and human activities that lead metro stations to be vital and vibrant places of urban daily life. In this work, we propose a data-driven semantic framework to characterize metro stations through points of interest (POIs) in Hong Kong. The analytical results reveal four thematic topics of urban functions that are closely related to commercial, residential, tourism, and industrial activities. Given the implementation of a hierarchical clustering approach on these thematic topics, the similarities among different stations are investigated. In particular, metro stations in the same thematic group tend to be spatially concentrated, suggesting an evident geographical proximity relating to similar urban functions. Plus, results from the Multinomial Logit Model (MNLM) confirm that the surrounding built environment of metro stations has close relationships with the heterogeneity of urban functions. Ultimately, this study introduces alternative insights into the urban functional heterogeneity exhibited by metro station areas, and the practical implications for more targeted TOD strategies are discussed.

Suggested Citation

  • Yu, Zidong & Zhu, Xiaolin & Liu, Xintao, 2022. "Characterizing metro stations via urban function: Thematic evidence from transit-oriented development (TOD) in Hong Kong," Journal of Transport Geography, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:jotrge:v:99:y:2022:i:c:s0966692322000229
    DOI: 10.1016/j.jtrangeo.2022.103299
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    5. Jing Cheng & Xiaowei Luo, 2023. "Analyzing the Direction of Urban Function Renewal Based on the Complex Network," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    6. Chen, Zhiheng & Li, Peiran & Jin, YanXiu & Bharule, Shreyas & Jia, Ning & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke & Zhang, Haoran, 2023. "Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: A case of Tokyo," Transport Policy, Elsevier, vol. 132(C), pages 65-75.
    7. Lei Pang & Yuxiao Jiang & Jingjing Wang & Ning Qiu & Xiang Xu & Lijian Ren & Xinyu Han, 2023. "Research of Metro Stations with Varying Patterns of Ridership and Their Relationship with Built Environment, on the Example of Tianjin, China," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    8. Jiangjun Wan & Chunchi Ma & Tian Jiang & Andrew Phillips & Xiong Wu & Yanlan Wang & Ziming Wang & Ying Cao, 2024. "A spatial econometric investigation into road traffic accessibility and economic growth: insights from the Chengdu-Chongqing twin-city economic circle," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    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. Yu, Zidong & Wang, Haotian & Liu, Xintao, 2024. "Unraveling intra-urban freight parking patterns: A data-driven geospatial study of shared logistics sector in Hong Kong," Journal of Transport Geography, Elsevier, vol. 117(C).
    11. Wu, Jishi & Feng, Tao & Jia, Peng & Li, Gen, 2024. "Spatial allocation of heavy commercial vehicles parking areas through geo-fencing," Journal of Transport Geography, Elsevier, vol. 117(C).
    12. Chan, Lok Shun, 2023. "Transition from fossil fuel propelled transport to electrified mass transit railway system - Experience from Hong Kong," Energy Policy, Elsevier, vol. 173(C).
    13. Jiao, Hongzan & Huang, Shibiao & Zhou, Yu, 2023. "Understanding the land use function of station areas based on spatiotemporal similarity in rail transit ridership: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 109(C).
    14. Hongxia Feng & Yaotong Chen & Jinyi Wu & Zhenqian Zhao & Yuanqing Wang & Zhuoting Wang, 2023. "Urban Rail Transit Station Type Identification Based on “Passenger Flow—Land Use—Job-Housing”," Sustainability, MDPI, vol. 15(20), pages 1-24, October.

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