geoskill-emergency-evacuation-routing

最短路径叠加灾害阻断与容量约束的多起点疏散规划

应急疏散路径规划 | Emergency Evacuation Routing

Evacuation routes are planned as 8-connected Dijkstra shortest paths on a raster cost surface (diagonal cost √2): hazardous pixels are set impassable, so routes automatically detour and never cross blocked zones; multiple evacuation origins are assigned to shelters by proximity, and once a shelter reaches capacity no further origins are assigned to it. On an unobstructed uniform grid, the shortest-path cost equals the Euclidean distance.

Dependencies / 依赖

bash

pip install numpy rasterio scipy

Usage / 使用方法

Basic usage (synthetic data, offline)

bash

python geoskill-emergency-evacuation-routing.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

More examples

bash

python geoskill-emergency-evacuation-routing.py --bbox 116 39 117 40 --synthetic --output-dir ./out
python geoskill-emergency-evacuation-routing.py --input cost.tif --threshold 1.0 --output-dir ./out
python geoskill-emergency-evacuation-routing.py --bbox 116 39 117 40 --threshold 0.5 --capacity 2 --synthetic --output-dir ./out
python geoskill-emergency-evacuation-routing.py --bbox 117 39 118 40 --synthetic --quiet --output-dir ./out

Output / 输出

File	Format	Description
distance_to_shelter.tif	GeoTIFF	Distance field to the nearest shelter
evacuation_routes.geojson	GeoJSON	Evacuation routes (one LineString per origin)
routing_stats.json	JSON	Number of assignments / whether hazards were avoided / per-route cost

Each run also produces output-manifest.json (run manifest with input/output/QA summary).

Data Source / 数据源 / Source

Real mode reads a multi-band GeoTIFF (band1 = travel cost, band2 = hazard intensity → blockage); synthetic mode generates an offline scenario containing obstacles.

Privacy / 隐私声明 / Privacy

• Runs offline by default; --synthetic mode requires no network at all.
• All processing is done locally; no user data is ever uploaded.

License / License

MIT

---

---

name: geoskill-emergency-evacuation-routing description: '最短路径叠加灾害阻断与容量约束的多起点疏散规划'

应急疏散路径规划 | Emergency Evacuation Routing

在栅格成本面上用 8 邻域 Dijkstra 最短路径规划疏散路线（对角代价 √2）：危险像元设为不可通行，路径自动绕行且绝不穿过阻断区；多个疏散起点按就近优先分配到避难所，避难所容量满后后续起点不再分配。无障碍均匀网格的最短路径代价等于欧氏距离。

依赖

bash

pip install numpy rasterio scipy

使用方法

基本用法（合成数据，离线）

bash

python geoskill-emergency-evacuation-routing.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

更多示例

bash

python geoskill-emergency-evacuation-routing.py --bbox 116 39 117 40 --synthetic --output-dir ./out
python geoskill-emergency-evacuation-routing.py --input cost.tif --threshold 1.0 --output-dir ./out
python geoskill-emergency-evacuation-routing.py --bbox 116 39 117 40 --threshold 0.5 --capacity 2 --synthetic --output-dir ./out
python geoskill-emergency-evacuation-routing.py --bbox 117 39 118 40 --synthetic --quiet --output-dir ./out

输出

文件	格式	说明
distance_to_shelter.tif	GeoTIFF	到最近避难所的距离场
evacuation_routes.geojson	GeoJSON	疏散路线（每个起点一条 LineString）
routing_stats.json	JSON	分配数/是否避开危险/各路线代价

每次运行还会产出 output-manifest.json（运行清单，含输入/产物/QA 摘要）。

数据源 / Source

真实模式读取多波段 GeoTIFF（band1=通行成本、band2=危险强度→阻断）；合成模式离线生成含障碍物的场景。

隐私声明 / Privacy

• 默认离线运行，--synthetic 模式完全无网络。
• 所有处理在本地完成，不上传任何用户数据。

License

MIT