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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