Abstract | ||
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Least-costs path finding methods belong to the standard toolkit of geographical information science and allow one to assign trips with known origin and destination to a transport network. An extension of the network representation is proposed that allows one to model complete trip chains (tours) that may involve multiple transport modes and multiple activities, as a least-cost path through the network. The extension is based on the notion that link costs may change as a consequence of activity and vehicle choices during the tour. The extended network or supernetwork contains as many copies of the network as there are possible activity-vehicle states and additional state transition links to interconnect them. In this way, not only the generalized link cost function, but also the start and end points of a path can be defined state dependently. A least-cost path through a multistate network defines an optimal sequence of travelling, transferring, parking, conducting activities and dropping off products of activities. An application shows how a multistate network can be constructed and used to assess the impacts of network design variables on path choice. |
Year | DOI | Venue |
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2004 | 10.1080/13658810410001701978 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE |
Keywords | Field | DocType |
state transition,geographic information science,networks,path finding,network design,cost function | Network formation,Data mining,Geographic information system,Computer science,Simulation,Computer network,TRIPS architecture,Interconnection,Supernetwork,Transport network | Journal |
Volume | Issue | ISSN |
18 | 7 | 1365-8816 |
Citations | PageRank | References |
4 | 0.65 | 2 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Theo A. Arentze | 1 | 87 | 13.60 |
Harry J. P. Timmermans | 2 | 136 | 21.36 |