Methods for Implementing Network Equilibrium Models of Urban Location and Travel Choice
Lee, Yong Jae
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/69957
Description
Title
Methods for Implementing Network Equilibrium Models of Urban Location and Travel Choice
Author(s)
Lee, Yong Jae
Issue Date
1985
Department of Study
Civil Engineering
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Civil
Abstract
Methods for determining parameter values of network equilibrium models are investigated. These methods are necessary for the implementation of such models in planning practice.
Two problems are examined in detail. The first concerns the estimation of generalized cost function coefficients from survey data under the hypothesis that the travel choices correspond to the assumptions of the network equilibrium model. A maximum likelihood approach to this problem is evaluated analytically and computationally for a large network. The second problem concerns the estimation of the dispersion measure defined by the entropy function for sampled-based trip tables. Such measures are biased downward by the presence of sampling zeros in the trip table. A method for adjusting such tables was evaluated for the Chicago data. Results for both problems are presented. Suggestions for future research and model implementation conclude the dissertation.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
