Machine learning and Geographic Information Systems (GIS)–based model for road crash severity prediction and behavioural pattern analysis

The proposed hybrid ML-GIS framework offers highly accurate severity prediction and reveals spatial and behavioral patterns critical for targeted safety interventions. Findings highlight the dominant influence of temporal and infrastructural factors over driver characteristics, supporting evidence-based engineering and enforcement strategies in Jordan.