Optimal mixture of road network ownership Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/d504rn753

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  • The present highway funding system, especially fuel taxes, may become less reliable revenue sources in the future, while the transportation public agencies do not have the sufficient financial resources needed to meet the increasing traffic demand. Regarding the socio-economic impact of road privatization, a wide range of approaches and models have been proposed, but few studies have been devoted to the detailed analysis of the ownership structure and its resulting socio-economic outcome. The thesis describes findings based on the economic impact of specific composition between centralized and decentralized ownership structures. Specifically, in a centralized ownership model, the government agencies are responsible for all the ownership activities. In a decentralized ownership structure, the ownership is distributed to separate parties of interest. The thesis examines the efficiency of the application of the proposed transportation model to highway planning with cost-benefit analysis approaches. Based on a quantitative analytical method, a number of insights are provided about impacts of ownership structures on the socio-economic performance in transportation systems. Moreover, the paper discusses how the ownership structure could be optimized in order to achieve the best economic well-being for the society. The comprehensive computational results show that the proposed model and the approach can analyze and evaluate the socio-economic performance of PPPs projects. As a result, the proposed model and approach can be used in long-run prediction of economic performance intended for describing a general methodology for transportation planning in a large network.
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  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2007-10-22T17:19:04Z (GMT) No. of bitstreams: 1 Mingxin_MS_Thesis.pdf: 557320 bytes, checksum: 8c9c7dfc6388892afd575dd720951e1e (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2007-10-11T17:04:44Z (GMT) No. of bitstreams: 1 Mingxin_MS_Thesis.pdf: 557320 bytes, checksum: 8c9c7dfc6388892afd575dd720951e1e (MD5)
  • description.provenance : Made available in DSpace on 2007-10-22T17:19:06Z (GMT). No. of bitstreams: 1 Mingxin_MS_Thesis.pdf: 557320 bytes, checksum: 8c9c7dfc6388892afd575dd720951e1e (MD5)
  • description.provenance : Submitted by Mingxin Li (limi@onid.orst.edu) on 2007-10-03T21:38:29Z No. of bitstreams: 1 Mingxin_MS_Thesis.pdf: 557320 bytes, checksum: 8c9c7dfc6388892afd575dd720951e1e (MD5)

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