Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76126
Title: A two-stage approach for estimating a statewide truck trip table
Authors: Jansuwan, S
Ryu, S
Chen, A 
Keywords: Truck O-D trip table
Path flow estimator
Commodity flow
Statewide planning model
Freight transportation
Issue Date: 2017
Publisher: Pergamon Press
Source: Transportation research. Part A. Policy and practice, 2017, v. 102, p. 274-292 How to cite?
Journal: Transportation research. Part A. Policy and practice 
Abstract: This 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.
URI: http://hdl.handle.net/10397/76126
ISSN: 0965-8564
DOI: 10.1016/j.tra.2016.09.013
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