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 system- atically 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, calculation methodologies, and data 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 variety of research areas, such as urban planning, environmental impact assessment, public health, and socio-economic studies.
Indicators Overview
This is a quick view of all the indicators present in this dataset. You can use the filters and click interactively to see all the indicators per sector. After this you can explore with more detail sector by sector.
Drinking Water Supply Indicators
Indicators related to the availability, quality, and accessibility of drinking water in urban areas. Here you can see the details of description and calculation of each indicator.
Heat Stress Indicators
Indicators that measure the urban heat island effect, temperature variations, and their impacts on outdoor heat stress. Here you can see the details of description and calculation of each indicator.
Housing Provision Indicators
Indicators that assess the availability, affordability, and quality of housing in urban settings. Here you can see the details of description and calculation of each indicator.
Data Access
The dataset is available in a relational SQL database format, which can be accessed and queried using standard SQL tools. The database schema includes tables for each sector, with indicators categorized by their respective domains.