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

Journal Article · Fri Jan 01 00:00:00 EST 2016 · Transportation Research Record: Journal of the Transportation Research Board

DOI:https://doi.org/10.3141/2548-05· OSTI ID:1322988

Wang, Hao ^[1]; Gearhart, Jared ^[2]; Jones, Katherine ^[2]; Frazier, Christopher ^[2]; Nozick, Linda ^[1]; Levine, Brian ^[3]; Jones, Dean ^[2]

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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)

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.

• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: US Department of Homeland Security (DHS); USDOE
• Grant/Contract Number: AC04-94AL85000
• OSTI ID: 1322988
• Report Number(s): SAND-2015-9820J; 607953
• Journal Information: Transportation Research Record: Journal of the Transportation Research Board, Vol. 2548; ISSN 0361-1981
• Publisher: National Academy of Sciences, Engineering and Medicine
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING