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Exploring energy geography: Data insights on household consumption.
Bardia Mashhoodi1, Thijs Bouman2
1Landscape Architecture and Spatial Planning Group, Department of Environmental Sciences, Wageningen University & Research, P.O. box 47, 6700 AA Wageningen, the Netherlands.
Household energy consumption varies by neighborhood and gender. This study provides data on factors influencing energy use across Dutch neighborhoods, aiding energy efficiency research.
Area of Science:
- Environmental Science
- Urban Planning
- Energy Policy
Background:
- Household energy consumption (HEC) exhibits significant spatial and demographic variations.
- Understanding HEC determinants is crucial for developing targeted energy policies and interventions.
- Previous research often lacks granular, neighborhood-level data on HEC drivers.
Purpose of the Study:
- To present a comprehensive database of raw and analyzed data on HEC determinants.
- To investigate the influence of socioeconomic, microclimate, and building factors on HEC at the neighborhood level in the Netherlands.
- To provide data supporting the geographically weighted regression (GWR) model for HEC analysis.
Main Methods:
- Data compilation from open national and international sources.
- Calculation of 17 key indicators related to energy demand, socioeconomic status, microclimate, and building characteristics.
- Application of geographically weighted regression (GWR) to analyze spatial variations in HEC determinants.
Main Results:
- The database includes raw data on 17 HEC indicators for 2707 Dutch neighborhoods (Wijk) in 2018.
- Analyzed data provides local coefficients, illustrating the spatially varying influence of HEC determinants.
- The findings reveal significant neighborhood-level variations in factors affecting household energy consumption.
Conclusions:
- This database offers valuable insights into the spatial heterogeneity of HEC determinants.
- The data facilitates a deeper understanding of local factors influencing energy consumption patterns.
- The findings can inform localized energy conservation strategies and urban planning initiatives.
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