Karur Logistics Suitability Dashboard
An interactive spatial dashboard mapping logistics hub suitability across Karur district using multi-criteria composite scoring — integrating freight corridors, road proximity, depot access, and industrial density.
Interactive map — scroll and click to explore.
Context
Karur district in Tamil Nadu is a growing industrial hub, particularly in textiles and engineering goods. Identifying optimal logistics infrastructure locations requires understanding the district's road network, freight corridors, and existing depot infrastructure.
Problem Statement
Which zones in Karur district have the highest composite suitability for logistics hub development? How do freight corridor access, road density, and depot proximity combine to shape the spatial distribution of logistics potential?
Methodology
Multi-criteria composite suitability model applied at municipality level across Karur district. Scoring criteria: freight corridor presence, national highway proximity, route density, road km, depot proximity, industrial density, and habitat density. Results normalized and classified into suitability tiers.
Analysis
Built in Python (Folium, GeoPandas, Pandas). Spatial data sourced from OpenStreetMap and district-level GIS layers. Interactive choropleth map with popup details for each municipality polygon showing composite score and component breakdown.
Insights
Suitability concentrates along the NH-544 corridor and intersections with state highways near Karur town. Peripheral taluks with low road density and no freight corridor presence score consistently low despite available land.
Outcome
Interactive HTML dashboard with choropleth suitability map, municipality-level popups showing composite and component scores, and a ranked spatial analysis of logistics potential across Karur district.