A behavioral analysis of freight mode choice decisions
Abstract
This paper develops a behavioral analysis of freight mode choice decisions that could provide a basis for an acceptable analytical tool for policy assessment. The paper specifically examines the way that truck and rail compete for commodity movement in the US. Two binary mode choice models are introduced in which some shipment-specific variables (e.g. distance, weight and value) and mode-specific variables (e.g. haul time and cost) are found to be determinants. The specifications of the non-selected choice are imputed in a machine learning module. Shipping cost is found to be a central factor for rail shipments, while road shipments are found to be more sensitive to haul time. Sensitivity of mode choice decisions is further analyzed under different fuel price fluctuation scenarios. A low level of mode choice sensitivity is found with respect to fuel price, such that even a 50% increase in fuel cost does not cause a significant modal shift between truck and rail.
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In freight, ML has been applied to analyze modal trade-offs, for example by imputing data on counterfactual mode choices.
“Also in the freight sector, ML has been applied to analyze modal trade-offs, for example, by imputing data on counterfactual mode choices [706].”
From Tackling climate change with machine learning (2023) · cites this paper as [706]
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- Authors
- Samimi, A., Kawamura, K., & Mohammadian, A.
- Affiliations
- Sharif University of Technology (IR)
- University of Illinois Chicago (US)
- Corresponding author
- Samimi, Amir
- Venue
- Transportation Planning and Technology
- Publisher
- Informa UK Limited
- Published
- 2011-12
- Volume
- 34
- Issue
- 8
- Pages
- 857-869
- ISSN
- 0308-1060 (ISSN-L)
- 1029-0354
- OpenAlex
- W2047489154
- Cited by
- 77
- References
- 32
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 4 · 2023: 5 · 2022: 8 · 2021: 7 · 2020: 3 · 2019: 9 · 2018: 5 · 2017: 2 · 2016: 7 · 2015: 5 · 2014: 5 · 2013: 3 · 2012: 3
- FWCI
- 7.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Planning and Technology (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- U.S. Department of Transportation
- Illinois Department of Transportation
- University of Illinois at Chicago
- Topics
- Physical Sciences › Engineering › Building and Construction › Urban and Freight Transport Logistics
- Social Sciences › Transportation › transportation and logistics systems
- Social Sciences › Business, Management and Accounting › Strategy and Management › Transport and Economic Policies
- Keywords
- freight mode choice, truck transportation, railways, modal shift, binary choice models, shipping costs, fuel price sensitivity
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