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Research on Urban Public Green Space Planning Based on Taxi Data: A Case Study on Three Districts of Shenzhen, China

Author

Listed:
  • Quanyi Zheng

    (Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, School of Architecture, Harbin Institute of Technology, Harbin 150001, China)

  • Xiaolong Zhao

    (Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, School of Architecture, Harbin Institute of Technology, Harbin 150001, China)

  • Mengxiao Jin

    (School of Environment, Harbin Institute of Technology, Harbin 150001, China)

Abstract

Urban public green space (UPGS) plays an important role in sustainable development. In China, the planning, classification, and management of green spaces are based on the Standard for Classification of Urban Green Space (SCUGS). However, limitations to the UPGS exist due to the over-emphasis on quantitative standards and insufficient consideration of the actual access mode of residents. Though the taxi trajectory data are widely selected to study public service facilities, its adoption in UPGSs research remains limited. Based on the case of UPGSs in the three districts of Shenzhen, we used the taxi (including cruise taxis and Didi cars, which are like Uber) trajectory data to investigate the spatial layout and the allocation of management resource of the UPGSs from the spatial interaction perspective. By rasterizing and visualizing the percentage of pick-up and drop-off points in the UPGSs’ buffer, the service scope of UPGSs was defined, which reflected the spatial distribution and activity intensity of the visitors. Then, an unsupervised classification method was introduced to reclassify the twenty two municipal parks in the three districts. Compared to the traditional planning method, the results show that the service scope of the same type of UPGS in the traditional classification is not the same as the one obtained by the study. Visitors to all UPGSs are distributed as a quadratic function and decay as the distance increases. In addition, the attenuation rates of the same type of UPGSs are similar. The findings of this study are expected to assist planners in improving the spatial layout of UPGSs and optimizing the allocation of UPGS management resources based on new classifications.

Suggested Citation

  • Quanyi Zheng & Xiaolong Zhao & Mengxiao Jin, 2019. "Research on Urban Public Green Space Planning Based on Taxi Data: A Case Study on Three Districts of Shenzhen, China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1132-:d:207889
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    References listed on IDEAS

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    Cited by:

    1. Mingyuan Chang & Longyang Huang & Tianlin Zhai & Jiawei Zhu & Yuanbo Ma & Ling Li & Chenchen Zhao, 2023. "A Challenge of Sustainable Urbanization: Mapping the Equity of Urban Public Facilities in Multiple Dimensions in Zhengzhou, China," Land, MDPI, vol. 12(8), pages 1-22, August.
    2. Raffaello Furlan & Brian R. Sinclair, 2021. "Planning for a neighborhood and city-scale green network system in Qatar: the case of MIA Park," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14933-14957, October.

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