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Title: Estimation of an origin–destination table for U.S. imports of waterborne containerized freight

Abstract

This study presents a probabilistic origin–destination table for waterborne containerized imports. The analysis makes use of 2012 Port Import/Export Reporting Service data, 2012 Surface Transportation Board waybill data, a gravity model, and information on the landside transportation mode split associated with specific ports. This analysis suggests that about 70% of the origin–destination table entries have a coefficient of variation of less than 20%. This 70% of entries is associated with about 78% of the total volume. This analysis also makes evident the importance of rail interchange points in Chicago, Illinois; Memphis, Tennessee; Dallas, Texas; and Kansas City, Missouri, in supporting the transportation of containerized goods from Asia through West Coast ports to the eastern United States.

Authors:
 [1];  [2];  [2];  [2];  [1];  [3];  [2]
  1. Cornell Univ., Ithaca, NY (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. MTA New York City Transit, New York, NY (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
US Department of Homeland Security (DHS); USDOE
OSTI Identifier:
1322988
Report Number(s):
SAND-2015-9820J
Journal ID: ISSN 0361-1981; 607953
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Transportation Research Record: Journal of the Transportation Research Board
Additional Journal Information:
Journal Volume: 2548; Journal ID: ISSN 0361-1981
Publisher:
National Academy of Sciences, Engineering and Medicine
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Wang, Hao, Gearhart, Jared, Jones, Katherine, Frazier, Christopher, Nozick, Linda, Levine, Brian, and Jones, Dean. Estimation of an origin–destination table for U.S. imports of waterborne containerized freight. United States: N. p., 2016. Web. doi:10.3141/2548-05.
Wang, Hao, Gearhart, Jared, Jones, Katherine, Frazier, Christopher, Nozick, Linda, Levine, Brian, & Jones, Dean. Estimation of an origin–destination table for U.S. imports of waterborne containerized freight. United States. https://doi.org/10.3141/2548-05
Wang, Hao, Gearhart, Jared, Jones, Katherine, Frazier, Christopher, Nozick, Linda, Levine, Brian, and Jones, Dean. Fri . "Estimation of an origin–destination table for U.S. imports of waterborne containerized freight". United States. https://doi.org/10.3141/2548-05. https://www.osti.gov/servlets/purl/1322988.
@article{osti_1322988,
title = {Estimation of an origin–destination table for U.S. imports of waterborne containerized freight},
author = {Wang, Hao and Gearhart, Jared and Jones, Katherine and Frazier, Christopher and Nozick, Linda and Levine, Brian and Jones, Dean},
abstractNote = {This study presents a probabilistic origin–destination table for waterborne containerized imports. The analysis makes use of 2012 Port Import/Export Reporting Service data, 2012 Surface Transportation Board waybill data, a gravity model, and information on the landside transportation mode split associated with specific ports. This analysis suggests that about 70% of the origin–destination table entries have a coefficient of variation of less than 20%. This 70% of entries is associated with about 78% of the total volume. This analysis also makes evident the importance of rail interchange points in Chicago, Illinois; Memphis, Tennessee; Dallas, Texas; and Kansas City, Missouri, in supporting the transportation of containerized goods from Asia through West Coast ports to the eastern United States.},
doi = {10.3141/2548-05},
journal = {Transportation Research Record: Journal of the Transportation Research Board},
number = ,
volume = 2548,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 2016},
month = {Fri Jan 01 00:00:00 EST 2016}
}

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Cited by: 4 works
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Works referenced in this record:

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Works referencing / citing this record:

Modeling ocean, rail, and truck transportation flows to support policy analysis
journal, July 2018