Cargo Routing and Disadvantaged Communities

The consistent rise in consumption has brought along more and more trucks to the cities. While the freight traffic is fundamental to the economy, its pollution intensity is much higher compared to passenger traffic. In addition, the time sensitivity of the freight movement encourages truck drivers to take the shortest or the fastest route to the destination, which more often than not, is not the most energy efficient or eco-friendly route. Furthermore, conventional truck routes often pass through disadvantaged communities having negative consequences on these vulnerable neighborhoods. This study will expand the authors’ previous work to develop a stochastic eco-routing tool for urban and regional networks. The tool will consider the relationship between the vehicle’s characteristic parameters and system conditions (i.e., network speed functions) and evaluate the trade-offs between different system objectives (e.g., vehicle miles/hours travelled, energy consumption, GHGs, and criteria pollutants). The objective of the work is to use the developed model to evaluate different system strategies (e.g., geo-fencing, access control, infrastructure use restrictions, truck routes) to mitigate the negative impacts from cargo flows, especially to vulnerable communities and sensitive locations (e.g., disadvantaged, school zones, hospitals).


    • English


    • Status: Active
    • Funding: $114,916.00
    • Sponsor Organizations:

      Department of Transportation

      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590
    • Managing Organizations:

      METRANS Transportation Center

      University of Southern California
      Los Angeles, CA  United States  90089-0626
    • Project Managers:

      Brinkerhoff, Cort

    • Performing Organizations:

      University of California, Irvine

      Institute of Transportation Studies
      4000 Anteater Instruction and Research Building
      Irvine, CA  United States  92697
    • Principal Investigators:

      Jaller, Miguel

    • Start Date: 20200101
    • Expected Completion Date: 20201231
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01732424
    • Record Type: Research project
    • Source Agency: METRANS Transportation Center
    • Files: RIP
    • Created Date: Feb 28 2020 4:37PM