Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76126
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dc.contributor.authorJansuwan, Sen_US
dc.contributor.authorRyu, Sen_US
dc.contributor.authorChen, Aen_US
dc.date.accessioned2018-05-10T02:55:24Z-
dc.date.available2018-05-10T02:55:24Z-
dc.date.issued2017-
dc.identifier.citationTransportation research. Part A. Policy and practice, 2017, v. 102, p. 274-292en_US
dc.identifier.issn0965-8564-
dc.identifier.urihttp://hdl.handle.net/10397/76126-
dc.description.abstractThis research develops a two-stage approach to estimate a statewide truck origin destination (O-D) trip table. The proposed approach is supported by two sequential stages: the first estimates the commodity-based truck O-D trip tables primarily derived from the commodity flow database, and the second refines the O-D estimates using the observed truck counts. The first stage uses national commodity flow data from the Freight Analysis Framework Version 3 (FAF(3)) database to develop a commodity-based truck trip table, while the second stage uses the path flow estimator (PFE) concept to refine the truck trip table obtained from the first stage using the truck counts from the statewide truck count program. The model allows great flexibility for data incorporation at different spatial levels in terms of estimating the statewide truck O-D trip table. To show proof of concept, a case study is conducted using the Utah statewide freight transportation network to demonstrate how the two-stage approach can be implemented in practice. The results show that the proposed approach is applicable for estimating a statewide truck O-D trip table with limited resources, and can be used to conduct truck corridor analysis to determine congested links and potential bottlenecks in Utah.en_US
dc.description.sponsorshipDepartment of Civil and Environmental Engineeringen_US
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.relation.ispartofTransportation research. Part A. Policy and practiceen_US
dc.subjectTruck O-D trip tableen_US
dc.subjectPath flow estimatoren_US
dc.subjectCommodity flowen_US
dc.subjectStatewide planning modelen_US
dc.subjectFreight transportationen_US
dc.titleA two-stage approach for estimating a statewide truck trip tableen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage274-
dc.identifier.epage292-
dc.identifier.volume102-
dc.identifier.doi10.1016/j.tra.2016.09.013-
dc.identifier.isiWOS:000404708300020-
dc.identifier.rosgroupid2017003559-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201805 bcrc-
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