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

Area of Science:

• Urban Planning and Environmental Science
• Data Science and Informatics

Background:

• Urban environments face complex, interconnected challenges in water supply, heat, and housing.
• Existing data is often fragmented, hindering comprehensive analysis and policy development.

Purpose of the Study:

• To present a comprehensive dataset of 280 indicators across drinking water supply, urban heat, and housing provision.
• To facilitate cross-sectoral analysis and interconnections within urban planning.
• To provide a robust foundation for academic research and policy analysis.

Main Methods:

• Systematic collection of indicators from peer-reviewed literature.
• Categorization and description of each indicator.
• Organization of data into a relational SQL database format.

Main Results:

• A curated dataset of 280 indicators with definitions, calculations, and provenance.
• Data structured in a relational SQL database for advanced querying and analysis.
• Facilitation of cross-sectoral analysis between water, heat, and housing domains.

Conclusions:

• The dataset offers a valuable resource for researchers and policymakers in urban planning, environmental assessment, public health, and socio-economic studies.
• Enables deeper understanding of urban system interdependencies.
• Supports evidence-based decision-making for sustainable urban development.