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Exploring the Effects of Roadside Vegetation on the Urban Thermal Environment Using Street View Images

Author

Listed:
  • Bin Li

    (College of Geography and Environment, Shandong Normal University, Jinan 250300, China)

  • Hanfa Xing

    (College of Geography and Environment, Shandong Normal University, Jinan 250300, China
    Beidou Research Institute, Faculty of Engineering, South China Normal University, Foshan 528000, China
    School of Geography, South China Normal University, Guangzhou 510631, China)

  • Duanguang Cao

    (College of Geography and Environment, Shandong Normal University, Jinan 250300, China)

  • Guang Yang

    (Beidou Research Institute, Faculty of Engineering, South China Normal University, Foshan 528000, China
    School of Geography, South China Normal University, Guangzhou 510631, China)

  • Huanxue Zhang

    (College of Geography and Environment, Shandong Normal University, Jinan 250300, China)

Abstract

Roadsides are important urban public spaces where residents are in direct contact with the thermal environment. Understanding the effects of different vegetation types on the roadside thermal environment has been an important aspect of recent urban research. Although previous studies have shown that the thermal environment is related to the type and configuration of vegetation, remote sensing-based technology is not applicable for extracting different vegetation types at the roadside scale. The rapid development and usage of street view data provide a way to solve this problem, as street view data have a unique pedestrian perspective. In this study, we explored the effects of different roadside vegetation types on land surface temperatures (LSTs) using street view images. First, the grasses–shrubs–trees (GST) ratios were extracted from 19,596 street view images using semantic segmentation technology, while LST and normalized difference vegetation index (NDVI) values were extracted from Landsat-8 images using the radiation transfer equation algorithm. Second, the effects of different vegetation types on roadside LSTs were explored based on geographically weighted regression (GWR), and the different performances of the analyses using remotely sensed images and street view images were discussed. The results indicate that GST vegetation has different cooling effects in different spaces, with a fitting value of 0.835 determined using GWR. Among these spaces, the areas with a significant cooling effect provided by grass are mainly located in the core commercial area of Futian District, which is densely populated by people and vehicles; the areas with a significant cooling effect provided by shrubs are mainly located in the industrial park in the south, which has the highest industrial heat emissions; the areas with a significant cooling effect provided by trees are mainly located in the core area of Futian, which is densely populated by roads and buildings. These are also the areas with the most severe heat island effect in Futian. This study expands our understanding of the relationship between roadside vegetation and the urban thermal environment, and has scientific significance for the planning and guiding of urban thermal environment regulation.

Suggested Citation

  • Bin Li & Hanfa Xing & Duanguang Cao & Guang Yang & Huanxue Zhang, 2022. "Exploring the Effects of Roadside Vegetation on the Urban Thermal Environment Using Street View Images," IJERPH, MDPI, vol. 19(3), pages 1-18, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1272-:d:732000
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    References listed on IDEAS

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    1. Ya Hui Teo & Mohamed Akbar Bin Humayun Makani & Weimeng Wang & Linglan Liu & Jun Hong Yap & Kang Hao Cheong, 2022. "Urban Heat Island Mitigation: GIS-Based Analysis for a Tropical City Singapore," IJERPH, MDPI, vol. 19(19), pages 1-23, September.

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