Abstract

This study explores how a visualised GIS model can aid decision-making in pavement maintenance management, focusing on roads under Local Road Authorities (LRA) control in the U.K. Factors influencing decision-making in pavement maintenance were identified and ranked through a nationwide questionnaire survey, followed by interviews with LRA experts to validate the rated factors. The Analytical Hierarchy Process (AHP) was employed to configure priority rankings. Subsequently, a GIS-based decision support model was developed and tested using Runnymede roads within Surrey County Council. Fourteen influential factors affecting pavement maintenance were identified and ranked. The GIS model was deemed a rational, simple, and usable tool for pavement management. With growing pressures on LRAs from limited budgets, increased accountability, and ageing roads facing higher traffic loads, efficient decision-making processes are crucial. GIS is a valuable tool for visualising results and optimising pavement maintenance strategies.