{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/69970"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/69970","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Implementation and Evaluation of Network Equilibrium Models of Urban Residential Location and Travel Choices","abstract":"This thesis focuses on questions of developing and evaluating network equilibrium models for combining urban residential location and travel choices. Three models are formulated for consideration of travelers' behavior; each of them represents a specific decision structure of travelers' location and mode choices on the basis of the deterministic user equilibrium travel costs. Solution algorithms and estimation methods are developed to solve and calibrate models of practical size. In order to evaluate their performance, the models are estimated with Chicago data using (1) CATS' generalized cost coefficients and observed entropy constants, and (2) the maximum likelihood method and 1980 census trip data. The estimation and sensitivity results are presented and discussed from both the statistical and practical points-of-view.","abstract_html":"This thesis focuses on questions of developing and evaluating network equilibrium models for combining urban residential location and travel choices. Three models are formulated for consideration of travelers' behavior; each of them represents a specific decision structure of travelers' location and mode choices on the basis of the deterministic user equilibrium travel costs. Solution algorithms and estimation methods are developed to solve and calibrate models of practical size. In order to evaluate their performance, the models are estimated with Chicago data using (1) CATS' generalized cost coefficients and observed entropy constants, and (2) the maximum likelihood method and 1980 census trip data. 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Three models are formulated for consideration of travelers' behavior; each of them represents a specific decision structure of travelers' location and mode choices on the basis of the deterministic user equilibrium travel costs. Solution algorithms and estimation methods are developed to solve and calibrate models of practical size. In order to evaluate their performance, the models are estimated with Chicago data using (1) CATS' generalized cost coefficients and observed entropy constants, and (2) the maximum likelihood method and 1980 census trip data. The estimation and sensitivity results are presented and discussed from both the statistical and practical points-of-view.","Made available in DSpace on 2014-12-15T20:36:29Z (GMT). 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Three models are formulated for consideration of travelers' behavior; each of them represents a specific decision structure of travelers' location and mode choices on the basis of the deterministic user equilibrium travel costs. Solution algorithms and estimation methods are developed to solve and calibrate models of practical size. In order to evaluate their performance, the models are estimated with Chicago data using (1) CATS' generalized cost coefficients and observed entropy constants, and (2) the maximum likelihood method and 1980 census trip data. The estimation and sensitivity results are presented and discussed from both the statistical and practical points-of-view.","Made available in DSpace on 2014-12-15T20:36:29Z (GMT). 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