NETWORK INTELLIGENCE

Understand movement,
access and logistics.

Build weighted road networks and use the same graph for routing, accessibility, OD analysis, nearest-facility allocation and operational logistics modelling.

Browser-based GISGeoAI + spatial analyticsSouth African context
NETWORK INTELLIGENCE

Model how people, vehicles and material move through a real network

GeoLayers Mobility, Accessibility & Logistics Studio uses weighted road networks rather than straight-line distance, allowing travel time, one-way behaviour and route impedance to shape the result.

Multi-stop routing

Build a route from a depot through multiple stops, improve the stop sequence and optionally return to the depot.

Accessibility

Measure which demand points can reach facilities within specified network travel-time or distance thresholds.

OD matrices

Calculate origin-to-destination distance, travel time and reachability across many point pairs.

H

Hub & spoke logistics

Allocate collection or delivery points to hubs and estimate trips, route kilometres, cost and emissions.

NETWORK FOUNDATION

One graph, multiple operational questions

Road segments can use their own speed values and optional one-way behaviour. Once GeoLayers builds the graph, the same network can drive routing, service areas, nearest-facility allocation and logistics calculations.

Build the networkSelect a LineString/MultiLineString road layer and map speed or one-way fields where available.
Choose impedanceAnalyse by distance or travel time depending on the operational question.
Add demand and facilitiesUse project point layers for depots, hubs, customers, facilities or service demand.
Publish the resultCreate route, connector or allocation layers with distance, time and operational attributes for mapping and reporting.
OPERATIONAL METRICS

Go beyond drawing a route

Logistics decisions usually depend on capacity and cost as much as geography.

  • Per-leg distance and travel time for multi-stop routes.
  • Nearest-facility allocation and reachable/unreachable demand points.
  • Travel-time bands for accessibility analysis.
  • Hub assignment, demand load and estimated trip count.
  • Round-trip kilometres and configurable cost-per-kilometre estimates.
  • Optional emissions estimates using a user-defined grams-per-kilometre factor.
USE CASES

Designed for collection, distribution and access planning

The same network engine can support commercial operations and public-service analysis.

Collection networks

Evaluate buy-back centres, depots, collection points or recyclable-material logistics using network travel rather than straight lines.

+

Service accessibility

Measure access to clinics, schools, emergency services or public facilities by realistic travel cost.

Distribution planning

Compare depot allocation, customer clusters and route structure before operational rollout.

CO₂

Cost and emissions

Translate spatial routes into operating distance, trip count, cost and estimated emissions.

Model your network in GeoLayers

Bring a road layer, facilities and demand points into one project and compare operational scenarios on the map.