Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932 and van Timmeren, Arjan (2018) Local determinants of household gas and electricity consumption in Randstad region, Netherlands: application of geographically weighted regression. Spatial Information Research, 26 (6). pp. 607-618. ISSN 2366-3286 (Print), 2366-3294 (Online) (doi:10.1007/s41324-018-0203-1)

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Abstract

The previous studies on household energy consumption (HEC) are based on an implicit assumption: the impact of geographic determinants on HEC is uniform across a given region, and such impacts could be unveiled regardless of geographic location of households in question. Consequently, these studies have searched for global determinants which explain HEC of all areas. This study aim at examining validity of this assumption in Randstad region by putting forward a question regarding households’ gas and electricity consumption: are the determinants global, stationary across all the areas of the region, or local, varying from one location to another? By application of geographically weighted regression, impact of socioeconomic, housing, land cover and morphological indicators on HEC is studied. It is established that the determinants of HEC are local. This result led to second question: what are the main determinants of gas and electricity consumption in different neighborhoods of Randstad? The results show that variety of factors could be the most effective determinant of gas consumption in different neighborhoods: building age, household size and inhabitants’ age, inhabitants’ income and private housing tenure, building compactness. Whereas, in case of electricity consumption the picture is more deterministic: in most of the neighborhoods the most effective factors are inhabitants’ income and private tenure.

Item Type:	Article
Uncontrolled Keywords:	household energy consumption, geographically weighted regression, gas, electricity, Randstad, Netherlands
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:	19 Mar 2025 10:17
URI:	http://gala.gre.ac.uk/id/eprint/50051

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