Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020

Wu, Jiansheng; Li, Xuechen; Li, Si; Liu, Chang; Yi, Tengyun; Zhao, Yuhao

doi:10.3390/ijerph19095683

Open AccessArticle

Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020

by

Jiansheng Wu

^1,2,*,

Xuechen Li

¹,

Si Li

¹,

Chang Liu

¹,

Tengyun Yi

¹ and

Yuhao Zhao

^1,2

¹

Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China

²

Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China

^*

Author to whom correspondence should be addressed.

Int. J. Environ. Res. Public Health 2022, 19(9), 5683; https://doi.org/10.3390/ijerph19095683

Submission received: 30 March 2022 / Revised: 24 April 2022 / Accepted: 28 April 2022 / Published: 7 May 2022

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Abstract

Research on urban thermal environments based on thermal comfort can help formulate effective measures to improve urban thermal and human settlement environments, which is of great significance for improving urban quality, urban climate change adaptation, and sustainable development. Taking 344 municipal administrative districts in China as study areas, the Universal Thermal Climate Index (UTCI) of each city in the last 20 years was calculated to evaluate thermal comfort. We then analyzed the thermal comfort and spatiotemporal heterogeneity of each city during a typical heat wave. Finally, the driving forces of the potential socioeconomic, natural, and landscape factors influencing thermal comfort were analyzed using geographic detectors. The results show that the thermal comfort index had similar spatial patterns and differentiation characteristics in different years, and the interannual variation was not obvious. Cities in the typical heat wave period were mainly distributed in East and Northwest China. The driving factor in the contribution rate of the same index in different years was basically the same and was not affected by the change in years, and the highest contribution rate was the natural factor.

Keywords: thermal environment; urban thermal comfort; spatial heterogeneity; geographic detector; China

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MDPI and ACS Style

Wu, J.; Li, X.; Li, S.; Liu, C.; Yi, T.; Zhao, Y. Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020. Int. J. Environ. Res. Public Health 2022, 19, 5683. https://doi.org/10.3390/ijerph19095683

AMA Style

Wu J, Li X, Li S, Liu C, Yi T, Zhao Y. Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020. International Journal of Environmental Research and Public Health. 2022; 19(9):5683. https://doi.org/10.3390/ijerph19095683

Chicago/Turabian Style

Wu, Jiansheng, Xuechen Li, Si Li, Chang Liu, Tengyun Yi, and Yuhao Zhao. 2022. "Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020" International Journal of Environmental Research and Public Health 19, no. 9: 5683. https://doi.org/10.3390/ijerph19095683

APA Style

Wu, J., Li, X., Li, S., Liu, C., Yi, T., & Zhao, Y. (2022). Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020. International Journal of Environmental Research and Public Health, 19(9), 5683. https://doi.org/10.3390/ijerph19095683

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Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020

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