Optimizing Parking Facilities

This project integrates geospatial analysis with Multi-Criteria Decision Analysis (MCDA) and the Analytic Hierarchy Process (AHP) to enhance urban parking management. Utilizing GIS data like Transit hubs, Public Places, Landmarks, Urban Health Centers, Land use Zones etc., it evaluates parking demand, optimal site for on street parking and off street parking. AHP facilitates decision-making by assigning criteria weights. By strategically siting and managing parking facilities, the endeavor aims for reduced congestion and enhanced urban accessibility, fostering sustainable urban mobility.

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