MULTI-CRITERIA DECISION-MAKING IN ROAD MAINTENANCE: AN AHP-GIS APPROACH

Abstract

Effective road maintenance planning is crucial for ensuring sustainable and efficient infrastructure management, especially in urban areas facing increasing traffic volumes and budget constraints. This study employs the Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) to establish an objective framework for prioritizing road maintenance. AHP is utilized to evaluate multiple criteria, including traffic volume (23.3%), road authority (22.1%), strategic value (20.8%), population density (16.5%), handling type (8.9%), and environmental impact (8.5%), based on expert assessments. The weight calculation results are validated using SuperDecision software, ensuring consistency in decision-making. The analysis identifies Persatuan Road, Berlian Road, and LKMD I Road as the highest-priority segments requiring urgent maintenance interventions. GIS is integrated to provide a spatially driven visualization, allowing for more effective resource allocation and informed decision-making. The proposed methodology is scalable, adaptable, and transferable, offering a structured approach that can be applied to other cities with similar infrastructure challenges. By incorporating spatial decision support, this approach offers a novel integration of MCDM and GIS, improving transparency and sustainability in road infrastructure planning. Future research should explore real-time data integration and predictive modeling for enhanced infrastructure management.

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