Urban connectivity and walkability assessment: spatial analysis and predictive modeling—an integrated approach using space syntax, gis, and machine learning for pedestrian flow analysis in batna

This study presents a comprehensive methodology for assessing urban walkability in Batna, Algeria, through the integration of Space Syntax analysis, Geographic Information Systems (GIS), and Machine Learning techniques, validating its effectiveness for walkability assessment in similar urban contexts.