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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

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