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Kim, Tschangho John Suh, Sunduck 2011-05-07T11:57:59Z 2011-05-07T11:57:59Z 10000-01-01 1989 This research models the transportation investment decision making process which involves private-public interactions using a network design problem framework. Specifically, the objective of the research is to specify the transportation investment decision making process using a bilevel nonlinear programming model of the continuous equilibrium network design problem. Toward this end, a descent type algorithm for solving the continuous equilibrium network design problem is proposed and the performance of the algorithm is evaluated. In addition, the model and algorithm are applied to the actual highway network of Korea. Two important functions, link congestion and investment, are developed for Korean highway system in the process of model application. The practicality of the continuous equilibrium network design model and its implications for highway investment decision making are investigated. Made available in DSpace on 2011-05-07T11:57:59Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 8924950.pdf: 5450966 bytes, checksum: 10532379e9a9f52cd7500dd5f31e5b45 (MD5) Previous issue date: 1989 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:34:54Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:13:33-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission ETDs are only available to UIUC Users without author permission U of I Only AAI8924950 (UMI)AAI8924950 http://hdl.handle.net/2142/19135 eng Copyright 1989 Suh, Sunduck Engineering, Civil Engineering, System Science Operations Research Implementation and evaluation of nonlinear bilevel programming model of equilibrium network design problem text Urban and Regional Planning Regional Planning University of Illinois at Urbana-Champaign Dissertation Ph.D.