Topic 11: Network Analysis Flashcards

1
Q

Define a network and its components

A
  • A network is a system of linear features that has the appropriate attributes for the flow of objects
  • origins in a branch of mathematics known as graph theory
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2
Q

two types of network models in ArcGIS

A

Utility (geometric) networks
- used to model networks where the agent or commodity using the network has no control over the direction
- used to model things like power utility networks, pipeline networks, stream networks and their drainage basins

Topological networks (aka network datasets)
- requires explicit topological relationships to be established
- agents have choice in the direction of travel (although constraints can still be imposed to system)
- used to model things like road networks, rail networks, trail system in a park

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3
Q

Components of utility (geometric) networks

A
  • simple networks of nodes and edges that represent network-shaped geographic features
  • don’t require embedded topology (eg., can use shapefiles for analysis) - spatial relationships can be computed on the fly
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4
Q

Components of transportation networks (network datasets)

A
  • model the movement of agents that have free-will as they travel through the system
  • topological relationships relating to connectivity are carefully modelled in such systems
  • defined as a series of edges, junctions, and turns
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5
Q

What is an impedance matrix?

A
  • To understand patterns of flow in the network, the GIS uses the network graph to construct an impedance matrix = the total impedance along any route can be easily determined as the sum of impedances along all edges travelled
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6
Q

Types of network analysis: shortest path (optimal routing)
- definition
- issues

A
  • Routing: find the quickest, shortest, or most scenic route from one location to another
  • Travelling salesperson problem: a set of points must be visited - so what is the most efficient order? (vehicle routing problem solver)
  • Another class of geographic problems involves the location of optimization of routes through a network (number of possible routes increases very quickly, so algorithms adopt heuristics to solve these problems more quickly)
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7
Q

Types of network analysis: closest facility
- definition

A
  • find the closest police car to a crime area, taxi to a fare, ambulance to an emergency, etc.
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8
Q

Types of network analysis: Origin-destination (OD) cost matrix
- definition

A
  • define a cost matrix for travel among multiple locations (eg., airline networks, Amazon ground fleet distribution networks)
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9
Q

Types of network analysis: service areas/ accessibility
- definition

A
  • find service area around any location on a network
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