Domain / Transport

Accessibility and mobility intelligence for resilient transport planning

Measure access to services, network gaps, flood disruption exposure, and corridor-level resilience.

Run Related APIs

Decision Outputs

01

Gravity-based accessibility index

02

Service catchment and travel-time summaries

03

Flood-exposed corridor screening

04

Transport resilience investment priorities

Workflow

01

Step 1

Connect road networks, opportunity points, hazard layers, and population demand.

02

Step 2

Estimate accessibility using travel-time decay and network impedance.

03

Step 3

Rank locations where resilience upgrades unlock the highest benefit.

GeoAI Toolchain

Recommended AI and geospatial tools for turning this model into a production-grade Nita AI module.

GeoAI / OpenGEOAI

Geospatial AI model training, segmentation, object detection, inference, and imagery workflows.

Optional runtime integration through geoai-py; the site reports availability when installed. Open docs

Google Earth Engine

Cloud-scale public geospatial datasets, satellite imagery, population rasters, and time-series analysis.

Optional live mode after Earth Engine authentication. Open docs

Leaflet + Leaflet Draw

Interactive AOI drawing, map inspection, layer controls, and user-facing spatial workflows.

Enabled in the browser UI. Open docs

Chart.js

Time-series, indicator, and demographic charts for decision dashboards.

Enabled in the browser UI. Open docs