Thermal exposure across age groups: social, spatial, and temporal inequalities in Nanjing, China
Hu, Wenhao, Hu, Yang, Ge, Yifu, He, Zhongyu, Ju, Yang, Zhai, Guofang, Lu, Yuwen and Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932
(2025)
Thermal exposure across age groups: social, spatial, and temporal
inequalities in Nanjing, China.
Sustainable Cities and Society (SCS), 124:106282.
ISSN 2210-6707 (Print), 2210-6715 (Online)
(doi:10.1016/j.scs.2025.106282)
![]() |
PDF (Author's Accepted Manuscript)
50342 MASHOODI_Thermal_Exposure_Across_Age_Groups_Social_Spatial_And_Temporal_Inequalities_(AAM)_2025.pdf - Accepted Version Restricted to Repository staff only until 19 March 2026. Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Request a copy |
Abstract
As climate change and urban expansion intensify, unequal thermal exposure among different age groups has emerged as a significant health concern. Existing studies on age groups’ thermal exposures have notable gaps: (1) the lack of comparison between summer and winter seasons; and (2) insufficient understanding of how metropolitan location (e.g., inner-city, suburban) and built environment characteristics (e.g., land cover, morphology) influence thermal exposure. To bridge these gaps, this study analyzes Land Surface Temperature (LST) exposure of children (0–14 years), adults (15–59 years), and senior citizens (60+ years) across Nanjing’s neighborhoods during the summer and winter of 2020. The study shows that variations in metropolitan locations correspond to demographic differences and built environment characteristics such as impervious surfaces, vegetation, and building heights, leading to social, spatial and temporal LST inequalities among age groups. For instance, innercity areas exhibited higher thermal exposure risk in both summer and winter, particularly affecting senior citizens. In contrast, adults experienced relatively moderate LST exposure, likely due to their suburban residence. Random forest model results indicate that built environment characteristics significantly and seasonally influence LST. In summer, higher proportions of impervious surfaces and lower levels of vegetation contribute to elevated LST in inner-city areas. Conversely, in winter, greater impervious surface areas, taller buildings, and greater distance from industrial zones correlate with lower temperatures in these regions. This study ultimately highlights the need for policy interventions to mitigate thermal exposure inequities among different age groups.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | urban climate, thermal exposure, environmental justice, urbanization, built environment |
Subjects: | H Social Sciences > H Social Sciences (General) Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) |
Last Modified: | 13 May 2025 11:04 |
URI: | http://gala.gre.ac.uk/id/eprint/50342 |
Actions (login required)
![]() |
View Item |
Downloads
Downloads per month over past year