Title: Modeling ocean, rail, and truck transportation flows to support policy analysis

Abstract

Freight transportation represents about 9.5% of GDP, is responsible for about 8% of greenhouse gas emissions and supports the import and export of about 3.6 trillion in international trade; hence it is important that our national freight transportation system is designed and operated efficiently and embodies user fees and other policies that balance costs and environmental consequences. Hence, this paper develops a mathematical model to estimate international and domestic freight flows across ocean, rail and truck modes which can be used to study the impacts of changes in our infrastructure as well as the imposition of new user fees and changes in operating policies. This model is applied to two case studies: (1) a disruption of the maritime ports at Los Angeles/Long Beach similar to the impacts that would be felt in an earthquake; and (2) implementation of new user fees at the California port

Authors:

Wang, Hao ^[1]; Nozick, Linda Karen ^[1]; Xu, Ningxiong ^[1]; Gearhart, Jared Lee ^[2]

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+ Show Author Affiliations

1. Cornell Univ., Ithaca, NY (United States). School of Civil and Environmental Engineering
2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Publication Date:

2018-07-06

Research Org.:

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:

DHS; USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:

1459989

Alternate Identifier(s):

OSTI ID: 1478218

Report Number(s):

SAND2018-5207J; SAND-2017-12452J
Journal ID: ISSN 1479-2931; 663159

Grant/Contract Number:  

AC04-94AL85000

Resource Type:

Accepted Manuscript

Journal Name:

Maritime Economics & Logistics

Additional Journal Information:

Journal Volume: 20; Journal Issue: 3; Journal ID: ISSN 1479-2931

Publisher:

Springer

Country of Publication:

United States

Language:

English

Subject:

99 GENERAL AND MISCELLANEOUS