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Article

Analysing the Spatio-Temporal Variations of Urban Street Summer Solar Radiation through Historical Street View Images: A Case Study of Shanghai, China

1
School of Architecture, Tianjin University, Tianjin 300072, China
2
School of Architecture, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work and should be considered co-first author.
ISPRS Int. J. Geo-Inf. 2024, 13(6), 190; https://doi.org/10.3390/ijgi13060190
Submission received: 7 May 2024 / Revised: 4 June 2024 / Accepted: 5 June 2024 / Published: 7 June 2024

Abstract

Understanding solar radiation in urban street spaces is crucial for comprehending residents’ environmental experiences and enhancing their quality of life. However, existing studies rarely focus on the patterns of urban street solar radiation over time and across different urban and suburban areas. In this study, street view images from the summers of 2013 and 2019 in Shanghai were used to calculate solar radiation in urban street spaces. The results show a general decrease in street solar radiation in 2019 compared to 2013, with an average drop of 12.34%. The decrease was most significant in October (13.47%) and least in May (11.71%). In terms of solar radiation data gathered from street view sampling points, 76.57% showed a decrease, while 23.43% showed an increase. Spatially, solar radiation decreased by 79.66% for every additional 1.5 km from the city centre. In summary, solar radiation generally shows a decreasing trend, with significant variations between different areas. These findings are vitally important for guiding urban planning, optimising green infrastructure, and enhancing the urban ecological environment, further promoting sustainable urban development and improving residents’ quality of life.
Keywords: solar radiation; multi-year street view; deep learning; geographical distribution solar radiation; multi-year street view; deep learning; geographical distribution

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MDPI and ACS Style

Wang, L.; Zhang, L.; He, J. Analysing the Spatio-Temporal Variations of Urban Street Summer Solar Radiation through Historical Street View Images: A Case Study of Shanghai, China. ISPRS Int. J. Geo-Inf. 2024, 13, 190. https://doi.org/10.3390/ijgi13060190

AMA Style

Wang L, Zhang L, He J. Analysing the Spatio-Temporal Variations of Urban Street Summer Solar Radiation through Historical Street View Images: A Case Study of Shanghai, China. ISPRS International Journal of Geo-Information. 2024; 13(6):190. https://doi.org/10.3390/ijgi13060190

Chicago/Turabian Style

Wang, Lei, Longhao Zhang, and Jie He. 2024. "Analysing the Spatio-Temporal Variations of Urban Street Summer Solar Radiation through Historical Street View Images: A Case Study of Shanghai, China" ISPRS International Journal of Geo-Information 13, no. 6: 190. https://doi.org/10.3390/ijgi13060190

APA Style

Wang, L., Zhang, L., & He, J. (2024). Analysing the Spatio-Temporal Variations of Urban Street Summer Solar Radiation through Historical Street View Images: A Case Study of Shanghai, China. ISPRS International Journal of Geo-Information, 13(6), 190. https://doi.org/10.3390/ijgi13060190

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