Enhanced Network Models for Multimodal Resiliency

Details

• Creators:
  Boyles, Stephen D. ; Bagchi, Debojjal ; Bathgate, Kyle
• Corporate Creators:
  University of Texas at Austin. Department of Civil, Architectural & Environmental Engineering
• Corporate Contributors:
  National Center for Understanding Future Travel Behavior and Demand (TBD) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Port capacity
  • Queuing theory
  • Multimodal transportation
  • Freight transportation
  • Maritime industry
  • Logistics
  • Waterways
  • Imports
  • Investments
  • Infrastructure
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Houston (Texas)
• Edition:
  Final Report: 2023-2025
• Corporate Publisher:
  United States. Department of Transportation. University Transportation Centers (UTC) Program
• Abstract:
  This report investigates how "operating capacity" can be meaningfully defined in multimodal maritime freight systems. Shipping channels and ports are complex systems that interact deeply, and the capacities of individual components may differ from the overall capacity of these systems. Accurately determining the operating capacity of a port aids stakeholders in making informed decisions about large-scale infrastructure investments and resource allocation. We present a novel queuing theory-based operating capacity model for computing capacities for waterway, import, and export processes. Our proposed model estimates the operating capacity of a port system by accounting for the interactions between waterways, terminals, and landside infrastructure without the need for a simulation. However, when used with a simulation, our model can compare capacities across different scenarios, thereby helping compare investment alternatives. We demonstrate the utility of the proposed method using data for the Port of Houston. The results from our study suggest that the proposed model is a viable method for estimating port operating capacity.
• Format:
  PDF
• Funding:
  69A3552344815 ; 69A3552348320
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/91951/dot_91951_DS1.pdf
• File Type:
  [PDF - 581.00 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:a2ee90d8b6a7c63dd65ce27195fabbbf300f43abba3e7beb2a5ba2509031196f3e03747537a38a9aaf91e4b9b6611dc4b241f15e25e2f1a89fc9cff380dc433f