Hybrid Analytic Hierarchy Process & Goal Programming Approach for Multi-Criteria Decision Making in Road Traffic Accident Management: Optimum Resource Planning

Hybrid AHP \& GP Approach for MCDM in Road Traffic Accident Management: Optimum Resource Planning

Abstract

Road traffic accidents are a complex, multi-dimensional problem influenced by behavioral, mechanical, infrastructural, environmental, and enforcement factors. This paper presents a novel hybrid MCDA framework that integrates the AHP to prioritize multiple contributing criteria and GP to optimize conflicting road safety objectives under resource constraints. Expert judgments are systematically quantified through AHP to assign weights to nine key criteria affecting accident severity. These weights inform the GP model’s objective function, which minimizes weighted deviations from multiple safety goals, including reducing fatalities, injuries, accident frequency, and improving emergency response and public awareness. The GP model optimally allocates limited resources across targeted interventions. Numerical results demonstrate the model’s flexibility and effectiveness in balancing competing objectives, supporting informed and transparent policymaking. The methodology is adaptable to diverse geographic contexts and offers a structured approach for Multi-Criteria transportation safety management.