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Zoning Optimization Method of a Riverfront Greenspace Service Function Oriented to the Cooling Effect: A Case Study in Shanghai

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  • Yunfang Jiang

    (School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
    The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200241, China
    Future City Lab, East China Normal University, Shanghai 200241, China)

  • Xiaolin Li

    (School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
    Future City Lab, East China Normal University, Shanghai 200241, China)

  • Jing Huang

    (Shenzhen Overseas Chinese Town Middle School, Shenzhen 518053, China)

Abstract

Blue-green space commonly provides multiple ecological service functions, especially thermal environment comfort for citizens. The greenspace of the riparian buffers along 22 river channels in Shanghai was selected as the study object, and remote sensing and GIS technologies were used to obtain the quantitative composition and morphological indices of riverfront greenspace and the spatial distribution data of the land surface temperature in the study area. Through BRT modelling and statistical analyses, the interactive correlations among the three aspects, namely, the spatial patterns of riverfront greenspace, their specific functional zoning, and cooling island differentiation characteristics, were explored. The results showed that different river types served for different functional zones of the city, namely, high-density built-up zoning, new urban-growth zoning in built-up areas, suburban areas, and rural areas, and had specific regular patterns of morphosis and service function of riverfront greenspace. These also led to a significant spatial differentiation pattern of cooling intensity levels, which generally appeared in the approximate circle differentiation structure of the cooling island in the city riverfront area. The study further proposed the key factors and corresponding strategies for optimizing the greenspace pattern to strengthen the cooling intensity levels of different river types. This study summarizes the landscape composition paradigm of riverfront greenspaces at the urban mesoscale and provides adaptive planning methods for better local microclimate conditions.

Suggested Citation

  • Yunfang Jiang & Xiaolin Li & Jing Huang, 2022. "Zoning Optimization Method of a Riverfront Greenspace Service Function Oriented to the Cooling Effect: A Case Study in Shanghai," IJERPH, MDPI, vol. 19(23), pages 1-32, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16191-:d:992550
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    References listed on IDEAS

    as
    1. Yunfang Jiang & Danran Song & Tiemao Shi & Xuemei Han, 2018. "Adaptive Analysis of Green Space Network Planning for the Cooling Effect of Residential Blocks in Summer: A Case Study in Shanghai," Sustainability, MDPI, vol. 10(9), pages 1-25, September.
    2. Yunfang Jiang & Jing Huang & Tiemao Shi & Hongxiang Wang, 2021. "Interaction of Urban Rivers and Green Space Morphology to Mitigate the Urban Heat Island Effect: Case-Based Comparative Analysis," IJERPH, MDPI, vol. 18(21), pages 1-29, October.
    3. Yunfang Jiang & Jing Huang & Tiemao Shi & Xiaolin Li, 2021. "Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts," IJERPH, MDPI, vol. 18(22), pages 1-28, November.
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