Evaluating quality of life in rapidly urbanizing industrial region of Eastern India utilizing census and geospatial data driven approaches for urban sustainability
This study evaluated neighborhood-level urban quality of life across the rapidly urbanizing Asansol-Kulti-Jamuria-Raniganj industrial region in Eastern India using 40 indicators across five domains. Researchers developed a quality of life index by combining subjective Fuzzy Analytical Hierarchy Process (FAHP) and objective Criteria Importance Through Intercriteria Correlation (CRITIC) methods, ranking neighborhoods with TOPSIS. The analysis revealed that approximately 60% of the region falls into low or very low quality of life categories, with the FAHP-derived index demonstrating superior predictive performance (AUC of 0.868) over the CRITIC model.
Why it matters — The study establishes a robust, spatially explicit methodology for measuring quality of life in rapidly expanding industrial agglomerations, which are frequently neglected in urban assessments compared to major metropolitan centers.
Caveat: The evaluation relies on a specific set of 40 indicators that may not capture all localized socio-economic dynamics or informal settlement conditions in the industrial region.
Discover Cities · pdf · doi