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Investigating the Spatiotemporal Dynamics of Urban Vitality Using Bicycle-Sharing Data

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  • Peng Zeng

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Ming Wei

    (School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4072, Australia)

  • Xiaoyang Liu

    (School of Architecture, Tianjin University, Tianjin 300072, China)

Abstract

In recent decades, the availability of diverse location-based service (LBS) data has largely stimulated the research in individual human mobility. However, less attention has been paid on the intra-city movement of cyclists coupled with their spatiotemporal dynamics. To fill the knowledge gap, drawing on bicycle-sharing data over one week in Shanghai, China, this study investigates the dynamics of bicycle-sharing users at two spatial scales (i.e., city level and subdistrict level) and explores the intra-city spatial interactions by those cyclists. At the city level, by applying the analysis of variance (ANOVA) test and the Wilcoxon signed-rank test, this study examines the temporal variation of cyclists across a seven-day period. At the subdistrict level, we develop a new index to capture the urban vitality using bicycle-sharing data with the consideration of trip flow allied with spatial weights. In terms of the computed urban vitality over the course of a day, 98 subdistricts are partitioned into 7 groups by using K-means clustering. In addition, spatial autocorrelation and hot spot analysis are also applied to examine the spatial features of urban vitality at different periods. Our results reveal that urban vitality has an obvious character of the spatial cluster and this cluster feature varies markedly over the course of a day. By shedding new lights on intra-city movement, we argue our results are important in informing urban planners on how to better allocate public facilities and increase bicycle usage as a way to progress towards more sustainable urban areas.

Suggested Citation

  • Peng Zeng & Ming Wei & Xiaoyang Liu, 2020. "Investigating the Spatiotemporal Dynamics of Urban Vitality Using Bicycle-Sharing Data," Sustainability, MDPI, vol. 12(5), pages 1-14, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1714-:d:324913
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    References listed on IDEAS

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    Cited by:

    1. Xueling Zhang & Ruoxuan Huang & Yixuan Yang, 2022. "On the Landscape Activity Measure Coupling Ecological Index and Public Vitality Index of UGI: The Case Study of Zhongshan, China," Land, MDPI, vol. 11(11), pages 1-32, October.
    2. Qidi Dong & Jun Cai & Shuo Chen & Pengman He & Xuli Chen, 2022. "Spatiotemporal Analysis of Urban Green Spatial Vitality and the Corresponding Influencing Factors: A Case Study of Chengdu, China," Land, MDPI, vol. 11(10), pages 1-17, October.
    3. Sara Poveda-Reyes & Ashwani Kumar Malviya & Elena García-Jiménez & Gemma Dolores Molero & Maria Chiara Leva & Francisco Enrique Santarremigia, 2021. "Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport," Sustainability, MDPI, vol. 13(5), pages 1-43, March.
    4. Yihao Jiang & Zhaojin Chen & Pingjun Sun, 2022. "Urban Shrinkage and Urban Vitality Correlation Research in the Three Northeastern Provinces of China," IJERPH, MDPI, vol. 19(17), pages 1-22, August.
    5. Xin Li & Yongsheng Qian & Junwei Zeng & Xuting Wei & Xiaoping Guang, 2021. "The Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, China," Land, MDPI, vol. 10(11), pages 1-17, October.
    6. Hee Jin Yang, 2020. "Spatio-Temporal Changes of Housing Features in Response to Urban Renewal Initiatives: The Case of Seoul," Sustainability, MDPI, vol. 12(19), pages 1-12, September.

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