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Exploring the Relationship between Land Use and Congestion Source in Xi’an: A Multisource Data Analysis Approach

Author

Listed:
  • Duo Wang

    (College of Transportation Engineering, Chang’an University, Xi’an 710000, China)

  • Hong Chen

    (College of Transportation Engineering, Chang’an University, Xi’an 710000, China)

  • Chenguang Li

    (College of Transportation Engineering, Chang’an University, Xi’an 710000, China)

  • Enze Liu

    (College of Transportation Engineering, Chang’an University, Xi’an 710000, China)

Abstract

Traffic congestion is a critical problem in urban areas, and understanding the relationship between land use and congestion source is crucial for traffic management and urban planning. This study investigates the relationship between land-use characteristics and congestion pattern features of source parcels in the Second Ring Road of Xi’an, China. The study combines cell-phone data, POI data, and land-use data for the empirical analysis, and uses a spatial clustering approach to identify congested road sections and trace them back to source parcels. The correlations between building factors and congestion patterns are explored using the XGBoost algorithm. The results reveal that residential land and residential population density have the strongest impact on congestion clusters, followed by lands used for science and education and the density of the working population. The study also shows that a small number of specific parcels are responsible for the majority of network congestion. These findings have important implications for urban planners and transportation managers in developing targeted strategies to alleviate traffic congestion during peak periods.

Suggested Citation

  • Duo Wang & Hong Chen & Chenguang Li & Enze Liu, 2023. "Exploring the Relationship between Land Use and Congestion Source in Xi’an: A Multisource Data Analysis Approach," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9328-:d:1167371
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    References listed on IDEAS

    as
    1. Li, Shaoying & Lyu, Dijiang & Huang, Guanping & Zhang, Xiaohu & Gao, Feng & Chen, Yuting & Liu, Xiaoping, 2020. "Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 82(C).
    2. Shao, Qifan & Zhang, Wenjia & Cao, Xinyu & Yang, Jiawen & Yin, Jie, 2020. "Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning," Journal of Transport Geography, Elsevier, vol. 89(C).
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    Cited by:

    1. Chenguang Li & Duo Wang & Hong Chen & Enze Liu, 2024. "Analysis of Urban Congestion Traceability: The Role of the Built Environment," Land, MDPI, vol. 13(2), pages 1-15, February.

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