Multi-Criteria Spatial Suitability Analysis for EV Charging Infrastructure in Galewela, Sri Lanka

This video presents a comprehensive GIS-based site suitability analysis for Electric Vehicle (EV) charging infrastructure in Galewela, Sri Lanka, developed for an academic viva demonstration. Using QGIS 3.x, the project implements a multi-criteria decision evaluation framework incorporating road network accessibility, commercial amenity proximity, and environmental constraints to identify optimal charging locations. 📌 Key Technical Highlights: • Data Normalization: Reprojection from WGS 84 (EPSG:4326) to Sri Lanka Grid 1999 (EPSG:5235) for metric planar accuracy. • Multi-Ring Buffering: Road network spatial categorization at 300m, 350m, and 400m intervals. • Amenity & Exclusion Mapping: 500m proximity buffering around commercial/medical hubs alongside water body constraint masking. • Vector Overlay & Attribute Logic: Executing Vector Union and resolving non-overlapping NULL values using QGIS Field Calculator (coalesce("mrb_dist", 400)). • Quantitative Area Aggregation: Calculating surface area geometries ($area) and aggregating land availability per suitability tier using Statistics by Categories. ⏱️ Timestamps: 0:00 - Introduction & Study Area 0:45 - Coordinate Reference System (EPSG:5235) 1:30 - Multi-Ring Buffer Analysis 2:30 - Amenity Proximity & Exclusion Zones 3:30 - Vector Union & Field Calculator (coalesce) 4:45 - Land Area Calculation & Aggregation 5:45 - Conclusion & Final Suitability Map 🛠️ Software & Data: QGIS 3.x | OpenStreetMap | SLD99 / Sri Lanka Grid 1999 #QGIS #GIS #ElectricVehicles #SpatialAnalysis #SriLanka #UrbanPlanning #Geospatial