Exploring energy geography: Data insights on household consumption

Bardia Mashhoodi; Thijs Bouman

doi:10.1016/j.dib.2024.110191

Exploring energy geography: Data insights on household consumption

Bardia Mashhoodi^*, Thijs Bouman

^*Corresponding author for this work

Environmental Psychology

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1 Citation (Scopus)

37 Downloads (Pure)

Abstract

Household energy consumption (HEC) varies across neighbourhoods and gender groups. This database provides raw and analysed data on HEC determinants and their estimated influence on HEC in 2707 residential neighbourhoods (Wijk) in the Netherlands in 2018. The raw data consists of 17 indicators on energy demand, socioeconomic characteristics, microclimate and buildings. The indicators are retrieved from and calculated based on open national and international datasets. The analysed data presents the local coefficients of the HEC determinants, the outcome of the geographically weighted regression model (GWR) presented in the related article [1].

Original language	English
Article number	110191
Number of pages	6
Journal	Data in brief
Volume	53
Early online date	21-Feb-2024
DOIs	https://doi.org/10.1016/j.dib.2024.110191
Publication status	Published - Apr-2024

Keywords

Energy poverty
Geospatial
Gender
energy use

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1 Article

Gendered geography of energy consumption in the Netherlands
Mashhoodi, B. & Bouman, T., May-2023, In: Applied Geography. 154, 12 p., 102936.
Research output: Contribution to journal › Article › Academic › peer-review

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4 Citations (Scopus)

152 Downloads (Pure)

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title = "Exploring energy geography: Data insights on household consumption",

abstract = "Household energy consumption (HEC) varies across neighbourhoods and gender groups. This database provides raw and analysed data on HEC determinants and their estimated influence on HEC in 2707 residential neighbourhoods (Wijk) in the Netherlands in 2018. The raw data consists of 17 indicators on energy demand, socioeconomic characteristics, microclimate and buildings. The indicators are retrieved from and calculated based on open national and international datasets. The analysed data presents the local coefficients of the HEC determinants, the outcome of the geographically weighted regression model (GWR) presented in the related article [1].",

keywords = "Energy poverty, Geospatial, Gender, energy use",

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AU - Mashhoodi, Bardia

AU - Bouman, Thijs

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AB - Household energy consumption (HEC) varies across neighbourhoods and gender groups. This database provides raw and analysed data on HEC determinants and their estimated influence on HEC in 2707 residential neighbourhoods (Wijk) in the Netherlands in 2018. The raw data consists of 17 indicators on energy demand, socioeconomic characteristics, microclimate and buildings. The indicators are retrieved from and calculated based on open national and international datasets. The analysed data presents the local coefficients of the HEC determinants, the outcome of the geographically weighted regression model (GWR) presented in the related article [1].

KW - Energy poverty

KW - Geospatial

KW - Gender

KW - energy use

U2 - 10.1016/j.dib.2024.110191

DO - 10.1016/j.dib.2024.110191

M3 - Article

SN - 2352-3409

VL - 53

JO - Data in brief

JF - Data in brief

M1 - 110191

ER -

Exploring energy geography: Data insights on household consumption

Abstract

Keywords

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Research output

Gendered geography of energy consumption in the Netherlands

Cite this