Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/1079

A MIXED, STOCHASTIC TRIP DISTRIBUTION AND ASSIGNMENT MODEL WITH VARIABLE ORIGIN AND DESTINATION COSTS

Authors Yang, Hai
Meng, Qiang
Issue Date 1996
Source FIRST CONFERENCE OF HONG KONG SOCIETY FOR TRANSPORTATION STUDIES , 1996, p. 125-140
Summary This paper develops a mixed, stochastic trip distribution and assignment model for urban location and travel choices with variable origin and destination costs. Different types of travelers will be considered explicitly, including: workers with fixed residences seeking jobs; workers with fixed job locations seeking residences; and workers with fixed residences and jobs. The costs or benefits of residing or working in a zone are described by appropriate location functions. The location function includes variables such as the total number of person's residing in a zone and the total number of persons working in a zone in order to reflect effects of activity congestion. We prove that the proposed model is equivalent to a convex optimization problem that can be solved by a convergent method of successive averages. A numerical example is presented to demonstrate the application of the model and algorithm.
Subjects
Language English
Format Conference paper
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