Land surface temperature and energy expenditures of households in the Netherlands: winners and losers
Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932
(2020)
Land surface temperature and energy expenditures of households in the Netherlands: winners and losers.
Urban Climate, 34:100678.
ISSN 2212-0955 (Online)
(doi:10.1016/j.uclim.2020.100678)
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Abstract
This study aims to examine the associations between land surface temperature (LST) and annual household energy expenditure (HEE) in urbanized zones of the Netherlands. To do so, satellite images of 96 days at four different overpassing local times (10:30 a.m., 1:30 p.m., 10:30 p.m., 1:30 a.m.) are retrieved, and annual average maximum (LST-Max) and average minimum (LST-Min) LST at each zone are calculated. Employing geographically weighted regression, controlling for 11 control variables, the results indicate that the impact of LST on HEE could not be enhanced unless the interactions between LST and location-specific circumstances are taken into consideration. In this line, four types of socio-spatial characteristics are distinguished: (1) losers, where higher levels of both LST-max and LST-Min are associated with higher HEE, characterised by high population density; (2) peak losers and trough winners, where LST-Max is associated with higher HEE and LST-Min with lower HEE, characterised by large households and elderly citizens; (3) peak winners and trough losers, where LST-Max is associated with lower HEE and LST-Min with higher HEE, characterised by private-rental dwellings and large building surface to volume ratio; (4) winners, where both LST-Max and LST-Min are associated with lower HEE, characterised by old buildings.
Item Type: | Article |
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Uncontrolled Keywords: | land surface temperature, urban heat island, household energy expenditure, energy poverty, household energy consumption |
Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences 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 12:13 |
URI: | http://gala.gre.ac.uk/id/eprint/50043 |
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