原始内容
name: road-accessibility-analysis description: > Compute shortest paths, isochrones, OD matrices, and facility service coverage from OSM or user-provided road networks. Supports drive/walk/cycle modes, road closures, and population coverage analysis. Use when the user needs travel-time analysis, service area delineation, or road network criticality assessment.
Road Accessibility Analysis
Performs network analysis on road networks to compute shortest paths, isochrones (service areas), origin-destination matrices, facility coverage, and road closure impact scenarios.
Trigger
Use when the user wants to:
- Compute shortest paths or travel times on road networks
- Generate isochrones / service areas from facilities
- Build OD matrices between origins and destinations
- Assess facility service coverage (hospitals, schools, etc.)
- Simulate road closure / disruption scenarios
- Identify critical edges whose removal degrades accessibility
CLI Usage
# Shortest path between two points
python scripts/road_accessibility_analysis.py --network roads.geojson \
--origins origins.geojson --destinations dest.geojson --mode drive
# Isochrone from facilities
python scripts/road_accessibility_analysis.py --network roads.geojson \
--origins facilities.geojson --time-limit 15 30 60 --mode walk
# OD matrix
python scripts/road_accessibility_analysis.py --network roads.geojson \
--origins origins.geojson --destinations dest.geojson --mode cycle
# With road closures
python scripts/road_accessibility_analysis.py --network roads.geojson \
--origins origins.geojson --destinations dest.geojson \
--closures closed_roads.geojson --mode drive
# With population coverage
python scripts/road_accessibility_analysis.py --network roads.geojson \
--origins hospitals.geojson --time-limit 30 --mode drive \
--population-raster pop.tif
数据下载
本 skill 可自动从公开数据源下载路网(无需预先准备数据):
# OSM 路网 + MPC DEM (cop-dem-glo-30) 自动下载
python scripts/road_accessibility_analysis.py \
--bbox 116.30,39.85,116.45,39.95 \
--date-range 2024-06-01,2024-06-30 \
--output-dir ./raa-auto
# 或用 AOI 多边形文件
python scripts/road_accessibility_analysis.py \
--aoi-file aoi.geojson --date-range 2024-06-01,2024-06-30 \
--output-dir ./raa-auto
下载的内容:
- OSM 道路 (
highway要素) — 主输入,替换--network - Copernicus DEM GLO-30 (
cop-dem-glo-30) — 辅输入,写入downloaded/
下载元数据(data_source, fetched_at, osm_features, dem_path 等)会写入 output-manifest.json。
Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
--network |
Yes | — | Road network (GeoJSON/Shapefile, LineString features) |
--origins |
No | — | Origin points (GeoJSON, Point features) |
--destinations |
No | — | Destination points (GeoJSON, Point features) |
--mode |
No | drive |
Travel mode: drive, walk, cycle |
--time-limit |
No | 30 |
Time threshold(s) in minutes for isochrones |
--closures |
No | — | Closed road segments (GeoJSON, LineString features) |
--population-raster |
No | — | Population raster for coverage analysis (GeoTIFF) |
--output-dir |
No | raa-output |
Output directory |
--speed-file |
No | — | JSON file with custom speed per road type |
Output
| File | Description |
|---|---|
routes.geojson |
Shortest path routes (LineString features) |
service_areas.geojson |
Isochrone polygons per origin |
od_matrix.csv |
Origin-destination travel time/cost matrix |
unserved_population.tif |
Raster of population not covered by service areas |
critical_edges.geojson |
Edges whose removal most degrades accessibility |
output-manifest.json |
Machine-readable manifest |
Exit Codes
| Code | Meaning |
|---|---|
| 0 | Success |
| 2 | Argument error |
| 3 | Dependency missing |
| 6 | Validation error |
| 7 | Processing failure |