Mapkathon2026-UseOSM/akure-accessibility-dashboard

An OpenStreetMap (OSM)-driven geospatial accessibility dashboard for evaluating healthcare and education access across Akure North and Akure South, Nigeria. Features multi-modal travel analysis (walking, motorcycle/okada, and driving), accessibility scoring, service coverage assessment, and OSM data-completeness. Built for Map<>kathon 2026. # Mapping the Gap: Health & Education Accessibility in Akure **Live dashboard:** akure-accessibility-dashboa… · **GitHub:** github.com An OSM-driven accessibility analysis for Akure North and Akure South LGAs (Ondo State, Nigeria), built for **Map<>kathon 2026** (Dashboard or Analysis track). Consumes OSM data - and its accompanying extraction manifest - produced by the companion **Nigerian LGA OSM Extractor** tool and turns it into a health/education access-deficit analysis with an integrated OSM completeness check, facility-type classification, parameterized assumptions with a built-in sensitivity analysis, and an interactive dashboard that reports uncertainty honestly rather than hiding it. > **How this serves the public good:** this project uses OSM's own > road and facility data to identify which communities in Akure North > and South lack practical access to healthcare and education, across > walking, okada, and driving, and, critically, distinguishes genuine > service gaps from places where OSM itself simply hasn't caught up > yet. Treating an OSM data gap as a confirmed service gap could > misdirect real planning attention, so every finding this project > presents is labeled as one of four honest categories - served, > confirmed underserved, potential OSM data gap, or unknown - rather > than presenting a single number as certain. ## Headline findings Walking is the most restrictive mode in both LGAs, by a wide margin: | | Akure North | Akure South | |---|---|---| | Underserved for ≥1 service (walking) | 95.0% of settled cells | 83.2% of settled cells | | Underserved for both services (walking) | 59.7% | 60.8% | | Avg. health facility travel time (walking) | 80 min (median 47) | 53 min (median 39) | | % of cells exceeding the 30-min threshold | 68.1% | 63.7% | These headline numbers use the project's baseline assumptions (see `akure_access/config/default.yaml …