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Spatiotemporal Analysis of Urban Green Spatial Vitality and the Corresponding Influencing Factors: A Case Study of Chengdu, China

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  • Qidi Dong

    (School of Art and Design, Xihua University, Chengdu 610039, China
    College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China)

  • Jun Cai

    (College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China)

  • Shuo Chen

    (College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China)

  • Pengman He

    (College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China)

  • Xuli Chen

    (School of Art and Design, Xihua University, Chengdu 610039, China)

Abstract

Green space integrates diversified urban functions, and the analysis of its utilization, can help improve the vitality of the social and economic development of cities while contributing to the important goal of enhancing urban green space (UGS) planning and management. In this study, the heat value obtained from Baidu heat maps was used as an external representation of spatial vitality, and the factors that influence vitality were analyzed from two dimensions, i.e., the inner and outer space characteristics of green space, using spatial big data such as points of interest (POIs), Open Street Map (OSM) and online review data. The findings indicated that green space and urban resources in Chengdu are highly centralized. That is, a high road network density and nearby transportation facilities make it easier for visitors to reach parks, while peripheral functional density also plays a role in promoting vitality; additionally, reasonable and moderate space and functional layouts are conducive to the development of green space. In addition, our study integrates the tour experience index, which has a strong positive impact on vitality, to better reflect the human-oriented characteristics of green space, which are of great relevance to the construction and renewal of human space in UGSs.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1820-:d:945126
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    References listed on IDEAS

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    1. Qidi Dong & Heng Lu & Xiaohong Luo & Pengman He & Di Li & Linjia Wu & Yundi Wei & Xuli Chen, 2023. "Evaluation and Optimization of Green Space Fairness in Urban Built-Up Areas Based on an Improved Supply and Demand Model: A Case Study of Chengdu, China," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    2. Liguo Zeng & Chunqing Liu & Mo Wang & Chengling Zhou & Guanhong Xie & Binsheng Wu, 2023. "Delineating the Dichotomy and Synergistic Dynamics of Environmental Determinants on Temporally Responsive Park Vitality," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
    3. Fan Liu & Danmei Sun & Yanqin Zhang & Shaoping Hong & Minhua Wang & Jianwen Dong & Chen Yan & Qin Yang, 2022. "Tourist Landscape Preferences in a Historic Block Based on Spatiotemporal Big Data—A Case Study of Fuzhou, China," IJERPH, MDPI, vol. 20(1), pages 1-20, December.

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