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

Abstract

Freight transportation represents about 9.5% of GDP in the U.S., it is responsible for about 8% of greenhouse gas emissions, and supports the import and export of about 3.6 trillion in international trade. It is therefore important that the national freight transportation system is designed and operated efficiently. 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. The model integrates a user equilibrium-based logit argument for path selection with a system optimal argument for rail network operations. This leads to the development of a unique solution procedure that is demonstrated in a large-scale analysis focused on all intercity freight and U.S export/import containerized freight. The model results are compared with the reported flow volumes. Here, the model is applied to two case studies: a disruption of the seaports of Los Angeles and Long Beach (LA and LB) similar to the impacts that would be felt in an earthquake; and implementation of new user fees at the California ports.

Authors:
 [1];  [1];  [1];  [2]
  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:
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

Citation Formats

Wang, Hao, Nozick, Linda Karen, Xu, Ningxiong, and Gearhart, Jared Lee. Modeling ocean, rail, and truck transportation flows to support policy analysis. United States: N. p., 2018. Web. doi:10.1057/s41278-018-0108-x.
Wang, Hao, Nozick, Linda Karen, Xu, Ningxiong, & Gearhart, Jared Lee. Modeling ocean, rail, and truck transportation flows to support policy analysis. United States. doi:10.1057/s41278-018-0108-x.
Wang, Hao, Nozick, Linda Karen, Xu, Ningxiong, and Gearhart, Jared Lee. Fri . "Modeling ocean, rail, and truck transportation flows to support policy analysis". United States. doi:10.1057/s41278-018-0108-x. https://www.osti.gov/servlets/purl/1459989.
@article{osti_1459989,
title = {Modeling ocean, rail, and truck transportation flows to support policy analysis},
author = {Wang, Hao and Nozick, Linda Karen and Xu, Ningxiong and Gearhart, Jared Lee},
abstractNote = {Freight transportation represents about 9.5% of GDP in the U.S., it is responsible for about 8% of greenhouse gas emissions, and supports the import and export of about 3.6 trillion in international trade. It is therefore important that the national freight transportation system is designed and operated efficiently. 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. The model integrates a user equilibrium-based logit argument for path selection with a system optimal argument for rail network operations. This leads to the development of a unique solution procedure that is demonstrated in a large-scale analysis focused on all intercity freight and U.S export/import containerized freight. The model results are compared with the reported flow volumes. Here, the model is applied to two case studies: a disruption of the seaports of Los Angeles and Long Beach (LA and LB) similar to the impacts that would be felt in an earthquake; and implementation of new user fees at the California ports.},
doi = {10.1057/s41278-018-0108-x},
journal = {Maritime Economics & Logistics},
number = 3,
volume = 20,
place = {United States},
year = {2018},
month = {7}
}

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    Works referencing / citing this record:

    A strategic network choice model for global container flows: specification, estimation and application
    journal, November 2011

    • Tavasszy, Lóránt; Minderhoud, Michiel; Perrin, Jean-François
    • Journal of Transport Geography, Vol. 19, Issue 6
    • DOI: 10.1016/j.jtrangeo.2011.05.005

    U.S. import/export container flow modeling and disruption analysis
    journal, January 2011


    Implementation and estimation of a combined model of interregional, multimodal commodity shipments and transportation network flows
    journal, January 2005

    • Ham, Heejoo; Kim, Tschangho John; Boyce, David
    • Transportation Research Part B: Methodological, Vol. 39, Issue 1
    • DOI: 10.1016/j.trb.2004.02.005

    A path-based user-equilibrium traffic assignment algorithm that obviates path storage and enumeration
    journal, December 2006


    Optimal network flows for containerized imports to the United States
    journal, September 2010

    • Fan, Lei; Wilson, William W.; Tolliver, Denver
    • Transportation Research Part E: Logistics and Transportation Review, Vol. 46, Issue 5
    • DOI: 10.1016/j.tre.2010.01.001

    Intermodal shipments as recourse in logistics disruptions
    journal, February 2013

    • Ishfaq, R.
    • Journal of the Operational Research Society, Vol. 64, Issue 2
    • DOI: 10.1057/jors.2012.40

    Spatial Price Equilibrium as a Foundation to Unified Spatial Commodity Modeling
    journal, April 1997


    Inter-regional Commodity Flows: Entropy Maximizing Approaches
    journal, July 1970


    Shipper–Carrier Dynamic Freight Assignment Model Using a Variational Inequality Approach
    journal, January 2006

    • Agrawal, Bhuwan Bhaskar; Ziliaskopoulos, Athanasios
    • Transportation Research Record: Journal of the Transportation Research Board, Vol. 1966, Issue 1
    • DOI: 10.1177/0361198106196600108

    Alternative Models of Spatial Competition
    journal, June 1986


    A Sequential Shipper-Carrier Network Model for Predicting Freight Flows
    journal, May 1986

    • Friesz, Terry L.; Gottfried, Joel A.; Morlok, Edward K.
    • Transportation Science, Vol. 20, Issue 2
    • DOI: 10.1287/trsc.20.2.80

    A Model for the Strategic Planning of National Freight Transportation by Rail
    journal, February 1990

    • Crainic, Teodor Gabriel; Florian, Michael; Léal, José-Eugenio
    • Transportation Science, Vol. 24, Issue 1
    • DOI: 10.1287/trsc.24.1.1

    A Multimode Multiproduct Network Assignment Model for Strategic Planning of Freight Flows
    journal, February 1990

    • Guélat, Jacques; Florian, Michael; Crainic, Teodor Gabriel
    • Transportation Science, Vol. 24, Issue 1
    • DOI: 10.1287/trsc.24.1.25

    Dynamic Network Simulation–Assignment Platform for Multiproduct Intermodal Freight Transportation Analysis
    journal, January 2007

    • Mahmassani, Hani S.; Zhang, Kuilin; Dong, Jing
    • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2032, Issue 1
    • DOI: 10.3141/2032-02

    Application and Validation of Dynamic Freight Simulation–Assignment Model to Large-Scale Intermodal Rail Network: Pan-European Case
    journal, January 2008

    • Zhang, Kuilin; Nair, Rahul; Mahmassani, Hani S.
    • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2066, Issue 1
    • DOI: 10.3141/2066-02

    Security and Mobility of Intermodal Freight Networks: Evaluation Framework for Simulation and Assignment
    journal, January 2009

    • Miller-Hooks, Elise; Chen, Lichun (Lisa); Nair, Rahul
    • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2137, Issue 1
    • DOI: 10.3141/2137-12

    Strategic Rail Network Optimization Model for Freight Transportation
    journal, January 2013

    • Maia, Luís Couto; Couto, António
    • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2378, Issue 1
    • DOI: 10.3141/2378-01

    Freight Traffic Assignment Methodology for Large-Scale Road–Rail Intermodal Networks
    journal, January 2015

    • Uddin, M. Majbah; Huynh, Nathan
    • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2477, Issue 1
    • DOI: 10.3141/2477-06

    Estimation of an Origin–Destination Table for U.S. Imports of Waterborne Containerized Freight
    journal, January 2016

    • Wang, Hao; Gearhart, Jared; Jones, Katherine
    • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2548, Issue 1
    • DOI: 10.3141/2548-05