Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932 (2021) Environmental justice and surface temperature: income, ethnic, gender, and age inequalities. Sustainable Cities and Society (SCS), 68:102810. ISSN 2210-6707 (Print), 2210-6715 (Online) (doi:10.1016/j.scs.2021.102810)

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Abstract

Severe land surface temperature (LST) significantly impacts residents' thermal discomfort and can be life-threatening during warm seasons. Therefore, it is essential to identify the inequalities in LST exposure, i.e. the socioeconomic groups who are over- or underexposed to LST. There is a knowledge gap in the literature: there is no previous study which differentiates between national-scale inequalities -i.e. inequalities apparent in all location of a country, and the local-scale inequalities -i.e. inequalities existing in some areas of a country. Employing a semi-parametric geographically weighted regression model to study LST in Dutch residential zones in the summer of 2014, the results of this study show that two national-scale inequalities are significant: overexposure of high-income groups and underexposure of the owners of high-value properties. Additionally, eight local-scale inequalities are identified. Among the latter, ethnic inequalities, overexposure of Non-western and Western immigrants, found to be the most severe and frequent at the local scale. Additionally, females are often the second most overexposed to LST at the local-scale. To a lesser degree Rental dwellings and Population age 15−24 are the second most overexposed of a zone's population. In the end, the results and policy implications are discussed.

Item Type:	Article
Uncontrolled Keywords:	land surface temperature, income inequality, ethnic inequality, gender inequality, environmental justice, urban heat islands
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences 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 > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	18 Mar 2025 11:16
URI:	http://gala.gre.ac.uk/id/eprint/50040

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