Impact of Multimodal Freight Network on Private Sector Global Distribution

Details

• Creators:
  Vergara, Hector A. ; Hernandez, Salvador ; Albatayneh, Rakan
• Corporate Creators:
  Center for Freight Transportation for Efficient and Resilient Supply Chain (FERSC) Tier 1 University Transportation Center (UTC) ; EROAD
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Metrics (Quantitative Assessment) Multimodal Transportation Multimodal Transportation Network Modeling Network Interdependencies Networks Performance Evaluations Private Enterprise Resilience (Materials) System Resilience Metrics And Measures Testing
• Publication/ Report Number:
  FERSC-2023-Project4-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  10/1/2023–9/30/2024
• Corporate Publisher:
  Center for Freight Transportation for Efficient & Resilient Supply Chain
• Abstract:
  The objective of this research is to develop network models to quantify the impact of multimodal freight network components on private-sector operational efficiencies. For this purpose, during the first phase of this project, a mathematical programming formulation has been developed that considers the multimodal transportation network as a multi-layer, multi-commodity network in which decisions are made about flows (i.e., selection of transportation modes and routing for shipments in the network) that minimize total operational costs. The model also incorporates the capability of evaluating resilience metrics associated with topological characteristics of the multimodal freight transportation network such as network complexity, as well as service-related metrics like unmet demand. To implement and test the proposed formulation a test case scenario for the Pacific Northwest has been developed, however challenges with data acquisition have delayed the testing of the formulation and the development of insights that will inform the tasks defined for the second phase of this project. The second phase of this project will focus on the testing of the proposed model and the use of the insights from the analysis of the test case instance to inform the development of a mathematical model for the allocation of limited resources to improve the overall performance of the multimodal freight transportation network.
• Format:
  PDF
• Funding:
  69A3552348338
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:b30371b68f5c52bab5af595d7b578c803c81437ff708f2fc21f823c07336b809d5e91bcfb050c88cbd804a3b865c9d7f2f146b3164521e97bb4fbbd577aeeff8
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86962/dot_86962_DS1.pdf
• File Type:
  [PDF - 1.47 MB ]