Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data

Household energy consumption (HEC) is affected by a variety of determinants. In addition to the level of HEC in 2612 residential zones in the Netherlands (the so-called wijk) in 2014, this dataset provides a geographically-referenced data of 11 determinants of HEC on: (1) socioeconomic characteristi...

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Main Authors: Bardia Mashhoodi, Dominic Stead, Arjan van Timmeren
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920300123
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spelling doaj-5643ef7b4d954230a031951ca16190332020-11-25T02:39:04ZengElsevierData in Brief2352-34092020-04-0129Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation dataBardia Mashhoodi0Dominic Stead1Arjan van Timmeren2Department of Urbanism, Faculty of Architecture, The Built Environment, Delft University of Technology, Delft, the Netherlands; Corresponding author.Department of Urbanism, Faculty of Architecture, The Built Environment, Delft University of Technology, Delft, the NetherlandsDepartment of Urbanism, Faculty of Architecture, The Built Environment, Delft University of Technology, Delft, the Netherlands; Amsterdam Institute for Advanced Metropolitan Solutions, Amsterdam, the NetherlandsHousehold energy consumption (HEC) is affected by a variety of determinants. In addition to the level of HEC in 2612 residential zones in the Netherlands (the so-called wijk) in 2014, this dataset provides a geographically-referenced data of 11 determinants of HEC on: (1) socioeconomic characteristics - namely income per capita, household size, population density; (2) urban morphology –namely buildings' surface to volume ratio, building age; (3) microclimate factors –namely number of summer days, number of frost days, humidity, wind speed at 10 m height; (4) land surface temperature; (5) normalized difference vegetation index (NDVI). The dataset is initially prepared for an analysis titled as “Land surface temperature and households' energy consumption: who is affected and where?” [1]. Keywords: Household energy consumption, Land surface temperature, Micro climate, Urban morphology, Vegetation, Socioeconomic characteristics, Netherlandshttp://www.sciencedirect.com/science/article/pii/S2352340920300123
collection DOAJ
language English
format Article
sources DOAJ
author Bardia Mashhoodi
Dominic Stead
Arjan van Timmeren
spellingShingle Bardia Mashhoodi
Dominic Stead
Arjan van Timmeren
Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data
Data in Brief
author_facet Bardia Mashhoodi
Dominic Stead
Arjan van Timmeren
author_sort Bardia Mashhoodi
title Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data
title_short Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data
title_full Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data
title_fullStr Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data
title_full_unstemmed Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data
title_sort spatializing household energy consumption in the netherlands: socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2020-04-01
description Household energy consumption (HEC) is affected by a variety of determinants. In addition to the level of HEC in 2612 residential zones in the Netherlands (the so-called wijk) in 2014, this dataset provides a geographically-referenced data of 11 determinants of HEC on: (1) socioeconomic characteristics - namely income per capita, household size, population density; (2) urban morphology –namely buildings' surface to volume ratio, building age; (3) microclimate factors –namely number of summer days, number of frost days, humidity, wind speed at 10 m height; (4) land surface temperature; (5) normalized difference vegetation index (NDVI). The dataset is initially prepared for an analysis titled as “Land surface temperature and households' energy consumption: who is affected and where?” [1]. Keywords: Household energy consumption, Land surface temperature, Micro climate, Urban morphology, Vegetation, Socioeconomic characteristics, Netherlands
url http://www.sciencedirect.com/science/article/pii/S2352340920300123
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