Network analysis is a key part of geographic information systems (GIS) and transportation planning. It uses graph theory to model and analyze the movement of people, goods, and services over a network (like roads, pipelines, or public transit systems). Here are some of the most common types of network analysis:
1. Route Finding (Shortest Path)
- Goal: Find the most efficient path between two or more locations.
- Applications: Navigation systems (Google Maps, Waze), delivery optimization, emergency response.
- Algorithms Used:
- Dijkstra’s Algorithm
- A* (A-star) Search
- Bellman-Ford (for graphs with negative weights)
2. Service Areas (Isochrones)
- Goal: Identify the area that can be reached within a certain time or distance from a point.
- Applications:
- Emergency service coverage (e.g., fire stations, hospitals)
- Store catchment areas
- Accessibility studies
- Methods:
- Time-based or distance-based thresholds
- Often visualized as polygons on a map
3. Closest Facility
- Goal: Identify the nearest facility (e.g., hospital, fire station) to a given incident or location.
- Applications: Emergency dispatch, public service access.
- Factors: May include travel time, road conditions, and speed limits.
4. Vehicle Routing Problem (VRP)
- Goal: Determine the optimal set of routes for multiple vehicles to service a set of locations.
- Applications: Logistics, delivery services, waste collection.
- Variations:
- Capacitated VRP
- Time Window VRP
- Pickup and Delivery VRP
5. Origin-Destination (OD) Cost Matrix
- Goal: Calculate cost (distance/time) between multiple origins and multiple destinations.
- Applications: Commuting analysis, trip planning, accessibility modeling.
6. Network Tracing
- Goal: Identify upstream/downstream connections from a given point.
- Applications: Utility networks (e.g., water, gas, electricity), telecom systems.
Tools & Software
- GIS Platforms: ArcGIS Network Analyst, QGIS (with pgRouting or plugins), GRASS GIS
- Libraries:
- Python:
networkx
,osmnx
,graph-tool
,scikit-mobility
- JavaScript:
leaflet-routing-machine
,turf.js
- Python: