Multi-Criteria Spatial Assessment of Urban Open Spaces for Promoting Physical Activity and Spatial Justice

This dataset accompanies the study “Multi-Criteria Spatial Assessment of Urban Open Spaces for Promoting Physical Activity and Spatial Justice: A Case Study of Tehran Metropolitan”. It contains both the input and output data used in the spatial multi-criteria decision analysis (SMCDA) of urban open spaces in Tehran. The dataset includes: Processed spatial layers: normalized environmental and accessibility/infrastructure criteria (20 in total). Weighting results: criterion weights derived using a hybrid Best-Worst Method (BWM) and Criteria Importance Through Intercriteria Correlation (CRITIC). Output maps and spatial analyses: results of the Weighted Linear Combination (WLC) integration, hot spot analysis (Getis-Ord Gi*), Local Moran’s I clusters, and spatial justice measures (Lorenz curve and Gini coefficient). These datasets provide the basis for assessing the spatial distribution of open space quality in Tehran and for examining inequalities in access to urban open spaces that support physical activity. Researchers and practitioners can use this resource to replicate the study, test alternative criteria weights, or adapt the framework to other urban contexts.