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Lesson Navigation IconAccessibility (Network Analysis)

Unit Navigation IconWhat are networks

Unit Navigation IconStructural Properties of a Network

LO Navigation IconConnectivity (Beta index)

LO Navigation IconDiameter of a graph

LO Navigation IconAccessibility of vertices and places

LO Navigation IconCentrality / Location in the network

LO Navigation IconHierarchies in trees

Unit Navigation IconDijkstra Algorithm

Unit Navigation IconTraveling Salesman Problem

Unit Navigation IconSummary

Unit Navigation IconGlossary

Unit Navigation IconBibliography

Unit Navigation IconIndex

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Accessibility of vertices and places

A frequent type of analysis in transport networks is the investigation of the accessibility of certain traffic nodes and the developed areas around them. A measure of accessibility can be determined by the method shown in the animation. The accessibility of a vertex i is calculated by:

where v = the number of vertices in the network and n (i, j) = the shortest node distance (i.e. number of nodes along a path) between vertex i and vertex j. Therefore, for each node i the sum of all the shortest node distances n(i, j) are calculated, which can efficiently be done with a matrix. The node distance between two nodes i and j is the number of intermediate nodes. For every node the sum is formed. The higher the sum (node A), the lower the accessibility and the lower the sum (node C), the better the accessibility.

The importance of the node distance lies in the fact that nodes may also be transfer stations, transfer points for goods, or subway stations. Therefore, a large node distance hinders travel through the network.

Calculation of the accessibility EiCalculation of the accessibility Ei

As with the diameter of a network, a weighted edge distance can also be used along with the pure topological node distance. Examples of possible weighting factors are: distance in miles or travel time as well as transportation cost. For this weighted measure, however, the edge distance is used and not the node distance.

where e is the number of edges and s(i, j) the shortest weighted path between two nodes.

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