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Spatiotemporal Patterns of the Use of Urban Green Spaces and External Factors Contributing to Their Use in Central Beijing

Author

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  • Fangzheng Li

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Beijing Laboratory of Urban and Rural Ecological Environment, Beijing 100083, China)

  • Fen Zhang

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Beijing Laboratory of Urban and Rural Ecological Environment, Beijing 100083, China)

  • Xiong Li

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Beijing Laboratory of Urban and Rural Ecological Environment, Beijing 100083, China)

  • Peng Wang

    (Beijing Tsinghua Tongheng Urban Planning & Design Institute, Beijing 100085, China)

  • Junhui Liang

    (Beijing Tsinghua Tongheng Urban Planning & Design Institute, Beijing 100085, China)

  • Yuting Mei

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China)

  • Wenwen Cheng

    (Department of Landscape Architecture, Texas A&M University, College Station, TX 77840, USA)

  • Yun Qian

    (School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
    Beijing Laboratory of Urban and Rural Ecological Environment, Beijing 100083, China)

Abstract

Urban green spaces encourage outdoor activity and social communication that contribute to the health of local residents. Examining the relationship between the use of urban green spaces and factors influencing their utilization can provide essential references for green space site selection in urban planning. In contrast to previous studies that focused on internal factors, this study highlights the external factors (traffic convenience, population density and commercial facilities) contributing to the use of urban green spaces. We conducted a spatiotemporal analysis of the distribution of visitors in 208 selected green spaces in central Beijing. We examined the relationship between the spatial pattern of visitor distribution within urban green spaces and external factors, using the Gini coefficient, kernel density estimation, and geographical detectors. The results of the study were as follows. The spatial distribution of visitors within central Beijing’s green spaces was concentrated, forming different agglomerations. The three examined external factors are all associated with the use of green spaces. Among them, commercial facilities are the important external factor associated with the use of green spaces. For the selection of sites for urban green spaces, we recommend consideration of external factors in order to balance urban green space utilization.

Suggested Citation

  • Fangzheng Li & Fen Zhang & Xiong Li & Peng Wang & Junhui Liang & Yuting Mei & Wenwen Cheng & Yun Qian, 2017. "Spatiotemporal Patterns of the Use of Urban Green Spaces and External Factors Contributing to Their Use in Central Beijing," IJERPH, MDPI, vol. 14(3), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:3:p:237-:d:91606
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    References listed on IDEAS

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    4. Shlomo Yitzhaki & Edna Schechtman, 2005. "The properties of the extended Gini measures of variability and inequality," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 401-433.
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    2. Anand & Prodyut Bhattacharya, 2023. "Urbanites’ perceptions of green spaces and their roles in effective management: a survey-based study from Delhi, India," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 13(1), pages 31-42, March.
    3. 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.
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    6. Zhen Yang & Weijun Gao, 2022. "Evaluating the Coordinated Development between Urban Greening and Economic Growth in Chinese Cities during 2005 to 2019," IJERPH, MDPI, vol. 19(15), pages 1-25, August.

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