Saudi Cultural Missions Theses & Dissertations
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Item Restricted GIS-Based Multi-Criteria Decision Analysis (MCDA) for Optimal Siting of Electric Vehicle Charging Stations(Saudi Digital Library, 2025) Hakami, Abdullah; Crossley, AndyThis study examined the optimal siting of public electric vehicle charging stations (EVCS) in Jeddah, Saudi Arabia, and addressed a critical need for strategic infrastructure planning amid rapidly rising EV adoption. Six key site-selection criteria (including proximity to amenities, major roads and population density) were identified, and their relative importance was quantified through expert surveys and Analytic Hierarchy Process (AHP) weightings. The derived weights were integrated in a GIS-based multi-criteria decision analysis (MCDA), using a weighted linear combination, to generate a composite suitability map of the city. The analysis found that proximity to amenities carried the highest weight (43%), followed by road access (28%) and population density (15%), reflecting the primacy of user convenience and demand in siting decisions. The suitability map indicated that Jeddah’s central coastal corridor (historic core and commercial districts) and a northern area near the King Abdullah University of Science and Technology (KAUST) were the most suitable locations yet lack EV infrastructure, whereas remote peripheral zones scored very low. Only about 29% of the metropolitan area fell into the high or very high suitability classes, with over half of the city’s land classified as low or very low suitability. The study contributed a context-specific GIS-MCDA decision-support tool for EVCS planning, representing one of the first detailed spatial analyses in Jeddah, Saudi. By aligning site selection with Saudi Arabia’s sustainable mobility objectives, it offered actionable guidance to support national infrastructure planning and the city’s transition to cleaner transport.37 0