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uncertainty quantification
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3 articles
Article 7 Mar 2025
Andreas Plesner, Allan P. Engsig-Karup and Hans True
1500 Views375 Downloads
Article 2 Feb 2024
Nipun Goyal and Mahdi Mahmoudzadeh
This article is part of the Special Issue Capturing the Sustainable Impact of Early-Stage Business Models.
Highlights of Sustainability
Volume 3 (2024), Issue 1, pp. 46–60
Volume 3 (2024), Issue 1, pp. 46–60
2765 Views688 Downloads
Article 28 Dec 2023
Majbah Uddin, Nathan N. Huynh and Fahim Ahmed
Highlights of Sustainability
Volume 3 (2024), Issue 1, pp. 1–15
Volume 3 (2024), Issue 1, pp. 1–15
2409 Views683 Downloads2 Citations
Article 28 Dec 2023
Majbah Uddin, Nathan N. Huynh and Fahim Ahmed
This paper presents a methodology for freight traffic assignment in a large-scale road-rail intermodal network under uncertainty. Network uncertainties caused by natural disasters have dramatically increased in recent years. Several of these disasters (e.g., Hurricane Sandy
This paper presents a methodology for freight traffic assignment in a large-scale road-rail intermodal network under uncertainty. Network uncertainties caused by natural disasters have dramatically increased in recent years. Several of these disasters (e.g., Hurricane Sandy, Mississippi River Flooding, and Hurricane Harvey) severely disrupted the U.S. freight transportation network, and consequently, the supply chain. To account for these network uncertainties, a stochastic freight traffic assignment model is formulated. An algorithmic framework, involving the sample average approximation and gradient projection algorithm, is proposed to solve this challenging problem. The developed methodology is tested on the U.S. intermodal network with freight flow data from the Freight Analysis Framework. The experiments consider three types of natural disasters that have different risks and impacts on transportation networks: earthquakes, hurricanes, and floods. It is found that for all disaster scenarios, freight ton-miles are higher compared to the base case without uncertainty. The increase in freight ton-miles is the highest under the flooding scenario; this is because there are more states in the flood-risk areas, and they are scattered throughout the U.S.
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Highlights of Sustainability
Volume 3 (2024), Issue 1, pp. 1–15
Volume 3 (2024), Issue 1, pp. 1–15
2409 Views683 Downloads2 Citations
Volume 3 (2025), Issue 1, pp. 1–14