Sufyan-15/accra-ev-charging-suitability

Python-based GIS–MCDA framework for prioritising existing fuel stations for EV charging infrastructure in metropolitan Accra, Ghana. # Accra EV-Charging Suitability Python-based GIS and multi-criteria decision analysis (MCDA) workflow for prioritising existing fuel stations for electric vehicle charging infrastructure in metropolitan Accra, Ghana. ## Study overview The workflow evaluates 234 existing fuel stations using three spatial dimensions: - residential demand, represented by population within a 1 km baseline catchment; - destination demand, represented by proximity to universities, markets, shopping malls and transport terminals; and - grid accessibility, represented by proximity to electrical substations. The three component indices are combined using an equal-weight MCDA model. Candidate stations are ranked, classified using Jenks Natural Breaks, tested under alternative criterion weights and population-buffer distances, and subjected to non-compensatory physical-site screening. ## Repository structure ```text accra-ev-charging-suitability/ ├── README.md ├── requirements.txt ├── .gitignore ├── scripts/ ├── Data/ ├── Results/ └── Maps/ ``` The repository contains the analytical scripts and documentation. Large source datasets, intermediate outputs and physical-assessment images are not included. ## Software requirements Python 3.11 or later is recommended. Install the required packages from the project root: ```bash python -m pip install -r requirements.txt ``` `tkinter`, used by the physical-assessment interface, is distributed with most standard Python installations and is not installed through `pip`. ## Data preparation Download or extract the source datasets described in Data/README.md, and retain the filenames and folder structure shown there. The WorldPop raster and OpenStreetMap-derived GeoJSON files are deliberately excluded from this repository. All scripts obtain the project root from `scripts/config.py`. No user-specific computer path is required. Advanced users may override the detected root by setting the `EV_CHARGING_PROJECT_DIR` environment variable. ## Reco …