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A Study on the Influence Mechanisms of Neighborhood Vitality and the Characteristics of Spatial and Temporal Differentiation in the Urban Fringe Areas of Wuhan City

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  • Yan Long

    (School of Art and Design, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Siyu Hu

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Zhengyuan Lu

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Lianghao Cheng

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Cairui Zhen

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Jingmei Shao

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Yuqiao Zheng

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Xuehui Zhou

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Jin Li

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Yudi Lin

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Shu Zhang

    (School of Art and Design, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Yue Wang

    (School of Art and Design, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Tianyue Luo

    (Wuhan Planning & Design Institute (Wuhan Transportation Development Strategy Institute), Wuhan 430010, China)

  • Haijuan Zhao

    (School of Urban Design, Wuhan University, Wuhan 430072, China
    Wuhan Design Consultation Group Co., Ltd., Wuhan 430023, China)

  • Xuejun Liu

    (School of Urban Design, Wuhan University, Wuhan 430072, China
    Research Center for Digital City, Wuhan University, Wuhan 430072, China)

Abstract

Achieving effective integration of urban–rural relationships and promoting the flow of resources between urban and rural areas in megacities are a key priority in the development of China’s new urbanization efforts. As a transitional zone between urban and rural areas, the urban fringe is the frontier of urban–rural integration. The specific research object of this paper is the urban fringe areas of Wuhan City. This paper quantifies the neighborhood vitality of the fringe areas by the short-stay visitors in the fringe areas and selects the 5D elements of the built environment and social media data from multiple sources to construct the indicator system assessing the neighborhood vitality of the urban fringe areas. This paper analyzes the spatial distribution characteristics of neighborhood vitality and its influencing factors in urban fringe areas and investigates the connection between neighborhood vitality and its influencing factors through the application of the multi-scale geographically weighted regression (MGWR) model. Based on the regression results, relevant planning recommendations are made on how to enhance the vitality of neighborhoods in urban fringe areas. The results show that the index system constructed by “5D” elements of built environment and social media data can well explain the spatial distribution of neighborhood vitality in urban fringe areas. Among the influencing factors, the absolute value of the correlation coefficient of network exposure is the largest, followed by road density and functional density. Thanks to the different bandwidths given by MGWR to the influencing factors, the global influencing factors are only two indicators—development intensity and functional mixing degree—while the other influencing factors are all local, and the influence degree of different regions is different, so it is necessary to analyze and put forward different planning suggestions accordingly.

Suggested Citation

  • Yan Long & Siyu Hu & Zhengyuan Lu & Lianghao Cheng & Cairui Zhen & Jingmei Shao & Yuqiao Zheng & Xuehui Zhou & Jin Li & Yudi Lin & Shu Zhang & Yue Wang & Tianyue Luo & Haijuan Zhao & Xuejun Liu, 2024. "A Study on the Influence Mechanisms of Neighborhood Vitality and the Characteristics of Spatial and Temporal Differentiation in the Urban Fringe Areas of Wuhan City," Land, MDPI, vol. 13(11), pages 1-36, October.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:11:p:1771-:d:1508418
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    References listed on IDEAS

    as
    1. Kang, Chaogui & Ma, Xiujun & Tong, Daoqin & Liu, Yu, 2012. "Intra-urban human mobility patterns: An urban morphology perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1702-1717.
    2. Yunzi Yang & Yuanyuan Ma & Hongzan Jiao, 2021. "Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example," Land, MDPI, vol. 10(9), pages 1-23, September.
    3. Daniel P. McMillen, 2004. "Geographically Weighted Regression: The Analysis of Spatially Varying Relationships," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 554-556.
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