eprintid: 855
rev_number: 14
eprint_status: archive
userid: 7
dir: disk0/00/00/08/55
datestamp: 2024-03-14 23:04:02
lastmod: 2024-03-18 00:05:45
status_changed: 2024-03-14 23:51:38
type: article
metadata_visibility: show
creators_name: Eissa, Taleb
creators_name: Mesa-Arango, Rodrigo
creators_name: Yahia, Hussin A.M
creators_name: Alghamdi, Saeed
title: Freight Mode Choice with Public Data from the United States
ispublished: pub
subjects: CB
subjects: TA
divisions: j6
full_text_status: public
keywords: Mode choice; commodity flow survey; socioeconomic data; freight transportation.
abstract: This paper investigates the selection of freight modes by shippers that require transportation for their shipments. A discrete choice multinomial logit model is used to understand the connectivity and integration between mode-choice and the regional socioeconomic environment. The 2012 Commodity Flow Survey and United States Census Bureau data are public sources used to estimate the corresponding model. Analytical results indicate that shipment characteristics, commodity and industry types, and regional socioeconomic attributes provide an enhanced representation of the economic linkages that determine mode choice at the regional level. Meaningful discussion and guidance is provided to understand this complex process.
date: 2023-12-15
publication: Journal of Civil Engineering and Urbanism
volume: 13
number: 4
publisher: Scienceline Publication, Ltd
pagerange: 65-84
id_number: doi:10.54203/jceu.2023.9
refereed: TRUE
issn: 22520430
official_url: https://ojceu.com/main/attachments/article/101/JCEU13(4)65-84,2023.pdf
citation:    (2023)     Freight Mode Choice with Public Data from the United States.   Journal of Civil Engineering and Urbanism.  pp. 65-84.  ISSN 22520430   
document_url: http://eprints.science-line.com/id/eprint/855/1/JCEU13%284%2965-84%2C2023.pdf