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Tempo‐spatial variability of urban leisure functional zones: An analysis based on geo‐big data

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  • Ying Jing
  • Junjiao Shu
  • Rushan Wang
  • Xiang Zhang

Abstract

New insights into urban functional zones with a specific focus on leisure is of great significance for human‐oriented urban development. The spatiotemporal pattern of urban leisure functional zones (ULFZ) reflects to what extent human psychological needs are satisfied. This article aims to discern ULFZ and reveal their changing regularity based on the taxi trajectory data and points of interests (POIs) by the DBSCAN algorithm, latent dirichlet allocations (LDA) and spatial analytical techniques. Results are concluded as follows: 1) the spatial distribution of ULFZs are dynamic and imbalanced at various periods; 2) among urban leisure subfunctions, cultural function is severely weaker than entertaining, sportive, and tourist function; and 3) the changes in ULFZ are kind of consistent at multiple spatial scales. This research benefits the leisure‐oriented urban planning.

Suggested Citation

  • Ying Jing & Junjiao Shu & Rushan Wang & Xiang Zhang, 2021. "Tempo‐spatial variability of urban leisure functional zones: An analysis based on geo‐big data," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1852-1865, September.
    • Handle: RePEc:bla:growch:v:52:y:2021:i:3:p:1852-1865
    DOI: 10.1111/grow.12526
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    References listed on IDEAS

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    1. Yaolin Liu & Ying Jing & Enxiang Cai & Jiaxing Cui & Yang Zhang & Yiyun Chen, 2017. "How Leisure Venues Are and Why? A Geospatial Perspective in Wuhan, Central China," Sustainability, MDPI, vol. 9(10), pages 1-21, October.
    2. Liu, Xi & Gong, Li & Gong, Yongxi & Liu, Yu, 2015. "Revealing travel patterns and city structure with taxi trip data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 78-90.
    3. Beibei Yu & Zhonghui Wang & Haowei Mu & Li Sun & Fengning Hu, 2019. "Identification of Urban Functional Regions Based on Floating Car Track Data and POI Data," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
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    1. Jinfeng Wang & Guowei Luo & Yanjia Huang & Min Liu & Yi Wei, 2023. "Spatial Characteristics and Influencing Factors of Commuting in Central Urban Areas Using Mobile Phone Data: A Case Study of Nanning," Sustainability, MDPI, vol. 15(12), pages 1-21, June.

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