Integrating AHP-GIS Technical Scoring with Public Preference to Prioritize Urban Rail Station Sites in Bandar Lampung

Enggar Alviani, Kristianto Usman, Citra Persada, Chatarina Niken, Muhammad Karami

Abstract


Urban rail projects often rely solely on technical criteria when selecting station sites, overlooking how users perceive access and convenience. This study presents a lightweight, replicable framework integrating Analytic Hierarchy Process (AHP), Geographic Information Systems (GIS), and a 5-point Likert survey to prioritize station locations in Bandar Lampung, Indonesia. Seven demographic–spatial indicators (population density, residential proximity, commerce/services, education, office clusters, road hierarchy, and pedestrian facilities) were mapped as binary suitability layers and aggregated using expert-derived AHP weights (CR = 0.01). Public preference scores (means and 95% CIs) were compared with technical rankings using Spearman’s correlation. Results show strong alignment (ρ = 0.715; p = 0.004). Four stations in the High–High quadrant are recommended for Phase-1 development, while others require targeted first/last-mile improvements (e.g., sidewalks, crossings) or placemaking to address perception gaps. Sensitivity checks using equal weights confirm ranking stability. This framework offers a transparent tool for converting freight corridors to passenger service in mid-sized cities.

Keywords


Rail Station Siting; AHP-GIS; Multi Criteria Decision Making; Public Preference; Infrastructure Prioritization

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References


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DOI: http://dx.doi.org/10.12962%2Fj2579-891X.v24i1.23294

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