Cross-sectoral digital planning Drinking Water-Urban Heat-Housing Provision indicators dataset

This dataset paper presents a comprehensive compilation of indicators covering three major domains: drinking water supply, urban heat, and housing provision. The data were systematically collected from a wide range of peer-reviewed papers to ensure a robust foundation for both academic research and practical policy analysis. The dataset includes a total of 280 indicators, each categorized and described. The indicators are organized into a relational database format, which allows for easy access and manipulation. The dataset was collected to facilitate cross-sectoral analysis, enabling researchers and practitioners to explore the interconnections between these critical areas of urban planning. The key indicators are described with clear definitions, calculations, and provenance information. Additionally, the dataset is organized in a relational SQL database, allowing users to perform advanced queries, join operations, and custom analyses. Potential applications span a range of research areas, including urban planning, environmental impact assessment, public health, and socio-economic studies.

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Publication Details

Journal
Data in Brief
Published
2025-11-22
DOI
https://doi.org/10.1016/j.dib.2025.112310
Primary Topic
Urban Stormwater Management Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

Cross-sectoral digital planning Drinking Water-Urban Heat-Housing Provision indicators dataset

Mila Koeva, Pirouz Nourian, Karin Pfeffer, Iván Urango Cardenas
Data in Brief
Urban Stormwater Management Solutions
article

Cross-sectoral digital planning Drinking Water-Urban Heat-Housing Provision indicators dataset

Mila Koeva, Pirouz Nourian, Karin Pfeffer, Iván Urango Cardenas
article en

Abstract

This dataset paper presents a comprehensive compilation of indicators covering three major domains: drinking water supply, urban heat, and housing provision. The data were systematically collected from a wide range of peer-reviewed papers to ensure a robust foundation for both academic research and practical policy analysis. The dataset includes a total of 280 indicators, each categorized and described. The indicators are organized into a relational database format, which allows for easy access and manipulation. The dataset was collected to facilitate cross-sectoral analysis, enabling researchers and practitioners to explore the interconnections between these critical areas of urban planning. The key indicators are described with clear definitions, calculations, and provenance information. Additionally, the dataset is organized in a relational SQL database, allowing users to perform advanced queries, join operations, and custom analyses. Potential applications span a range of research areas, including urban planning, environmental impact assessment, public health, and socio-economic studies.

Data in BriefVol. 64
University of Twente (NL)
Openalex Percentile: Top 66%
Urban Stormwater Management Solutions
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