Supplementary Dataset for "Are We Measuring What Matters? A Multilayered Framework Evaluating Active Mobility Infrastructure through PLOS, BLOS and 15-Minute City Principles"

This dataset contains supporting material for the paper "Are We Measuring What Matters? A Multilayered Framework Evaluating Active Mobility Infrastructure through PLOS, BLOS and 15-Minute City Principles". It includes: An Excel table listing 138 unique indicators organized under 6 broad constructs. A Python script for identifying unique and duplicate indicators across multiple studies identified through the PRISMA protocal. A Python script for extracting most and least common indicators based on frequency analysis. These files are intended to support further research on non-motorized infrastructure evaluation in proximity-based urban planning frameworks.