{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/83152"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/83152","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"An Integrated Interregional Input -Output and Transportation Network Model for Assessing Economic Impacts of Unexpected Events","abstract":"A model of interregional commodity flows, incorporating regional input-output relationships, and the corresponding transportation network flows is formulated and implemented for assessing the economic impacts from an unexpected event. The Integrated Commodity Flow Model (ICFM) integrates a transportation network model with a regional input-output model. The model simultaneously forecasts commodity flow generation, distribution, mode choice, and assignment in a single procedure. The mode choice model forecasts mode share rates using the binary logit model. The model considers both interregional commodity flows and transportation network flows for 13 commodity sectors and two transportation modes for the United States. The model is solved with commodity flow data and transportation networks for the United States using Evans' partial linearization algorithm with Wilson's iterative balancing method. The performance of the model is investigated with regard to parameter estimation, convergence of the solution, and the validity of commodity flow results. Finally, the economic impacts of a catastrophic earthquake are estimated and evaluated by analyzing changes of objective function values, mean shipment distances and commodity flows based on hypothetical scenarios of unexpected events.","abstract_html":"A model of interregional commodity flows, incorporating regional input-output relationships, and the corresponding transportation network flows is formulated and implemented for assessing the economic impacts from an unexpected event. The Integrated Commodity Flow Model (ICFM) integrates a transportation network model with a regional input-output model. The model simultaneously forecasts commodity flow generation, distribution, mode choice, and assignment in a single procedure. The mode choice model forecasts mode share rates using the binary logit model. The model considers both interregional commodity flows and transportation network flows for 13 commodity sectors and two transportation modes for the United States. The model is solved with commodity flow data and transportation networks for the United States using Evans' partial linearization algorithm with Wilson's iterative balancing method. The performance of the model is investigated with regard to parameter estimation, convergence of the solution, and the validity of commodity flow results. Finally, the economic impacts of a catastrophic earthquake are estimated and evaluated by analyzing changes of objective function values, mean shipment distances and commodity flows based on hypothetical scenarios of unexpected events.","abstract_has_math":false,"creators":["Ham, Heejoo"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Kim, Tschangho John"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T21:03:06Z","date_published":"2015-09-25T21:03:06Z","updated_at":"2026-07-22T22:26:20Z","subjects":["Economics, General"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3017090"],"render_values":[{"text":"(MiAaPQ)AAI3017090","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/83152","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kim, Tschangho John"]},{"key":"dc:creator","label":"Author","values":["Ham, Heejoo"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T21:03:06Z","10000-01-01","2001"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Economics, General"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/83152","(MiAaPQ)AAI3017090"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A model of interregional commodity flows, incorporating regional input-output relationships, and the corresponding transportation network flows is formulated and implemented for assessing the economic impacts from an unexpected event. The Integrated Commodity Flow Model (ICFM) integrates a transportation network model with a regional input-output model. The model simultaneously forecasts commodity flow generation, distribution, mode choice, and assignment in a single procedure. The mode choice model forecasts mode share rates using the binary logit model. The model considers both interregional commodity flows and transportation network flows for 13 commodity sectors and two transportation modes for the United States. The model is solved with commodity flow data and transportation networks for the United States using Evans' partial linearization algorithm with Wilson's iterative balancing method. The performance of the model is investigated with regard to parameter estimation, convergence of the solution, and the validity of commodity flow results. Finally, the economic impacts of a catastrophic earthquake are estimated and evaluated by analyzing changes of objective function values, mean shipment distances and commodity flows based on hypothetical scenarios of unexpected events.","Made available in DSpace on 2015-09-25T21:03:06Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3017090.pdf: 7692338 bytes, checksum: b08b4e6ae71fc7c5b7b50bad27f9c9dd (MD5) Previous issue date: 2001","Embargo set by: Seth Robbins for item 84433 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","167 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001."]},{"key":"dc:title","label":"Title","values":["An Integrated Interregional Input -Output and Transportation Network Model for Assessing Economic Impacts of Unexpected Events"]}]}],"canonical_facts":{"dc:contributor":["Kim, Tschangho John"],"dc:creator":["Ham, Heejoo"],"dc:date":["2015-09-25T21:03:06Z","10000-01-01","2001"],"dc:description":["A model of interregional commodity flows, incorporating regional input-output relationships, and the corresponding transportation network flows is formulated and implemented for assessing the economic impacts from an unexpected event. The Integrated Commodity Flow Model (ICFM) integrates a transportation network model with a regional input-output model. The model simultaneously forecasts commodity flow generation, distribution, mode choice, and assignment in a single procedure. The mode choice model forecasts mode share rates using the binary logit model. The model considers both interregional commodity flows and transportation network flows for 13 commodity sectors and two transportation modes for the United States. The model is solved with commodity flow data and transportation networks for the United States using Evans' partial linearization algorithm with Wilson's iterative balancing method. The performance of the model is investigated with regard to parameter estimation, convergence of the solution, and the validity of commodity flow results. Finally, the economic impacts of a catastrophic earthquake are estimated and evaluated by analyzing changes of objective function values, mean shipment distances and commodity flows based on hypothetical scenarios of unexpected events.","Made available in DSpace on 2015-09-25T21:03:06Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3017090.pdf: 7692338 bytes, checksum: b08b4e6ae71fc7c5b7b50bad27f9c9dd (MD5) Previous issue date: 2001","Embargo set by: Seth Robbins for item 84433 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","167 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001."],"dc:identifier":["http://hdl.handle.net/2142/83152","(MiAaPQ)AAI3017090"],"dc:language":["eng"],"dc:subject":["Economics, General"],"dc:title":["An Integrated Interregional Input -Output and Transportation Network Model for Assessing Economic Impacts of Unexpected Events"],"dc:type":["text"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:20Z"}