A Decision Support Tool for locating an Inland Port in Inland Empire

By diverting port-related truck trips to rail, the development and operation of an inland port in the Inland Empire would (a) reduce the net truck-miles-traveled (TMT), (b) have the potential to reduce the truck congestion on I-710, (c) contribute to creating a cleaner environment, and (d) improve storage capacity and productivity at the San Pedro Bay (SPB) ports. In several reports, Mira Loma has been named as an attractive location for an inland port serving SPB ports. The main reasons for its attractiveness include proximity to the Colton intermodal facility, potential for finding an appropriate site, and relatively low initial investment. The purpose of this research project is to develop a decision support tool to identify the optimal location of the Inland Empire inland port. The decision support tool will take advantage of the mathematical models available for single facility location problems. Given the daily origin destination (O/D) data from SPB ports to the distribution centers and processing centers (DC/PCs) in the Inland Empire, the model identifies the optimal location of an inland port. Due to environmental, legal, land availability, and economical concerns, it may not be feasible to locate an inland port on the theoretical optimal site. The decision support tool will also provide a set of contour lines showing the total TMT for the sites other than the theoretical optimal site. All the nodes on the same contour line have the same transportation and environmental costs. The computational capabilities and graphical interface of the decision support tool are especially valuable because the O/D data between SPB ports and Inland Empire DC/PCs are not reliable. The decision support tool makes it possible to conduct a sensitivity analysis of the impact evaluation of changes in O/D data on the optimal location and contour lines. Moreover, as the available data from diverse resources are integrated, and more reliable estimates on container flows in the Inland Empire are available, the model could quickly reflect the impact of the more accurate data. More accurate data may gradually become available using the ports truck driver surveys, ports Truck Trip Reduction Program data, CalTrans truck counts, SCAG heavy duty truck model output, and MTA Comprehensive Truck/Freight Modeling effort. Furthermore, it is straightforward to use the decision support tool to evaluate the impact of O/D data aggregation on the optimal location and the contour lines. In addition, the software can also evaluate the tradeoff between train trips and truck trips. Finally, by defining a set of weights as the negative environmental impact of one mile of travel, the objective function could be entirely transformed into emissions minimization.


    • English


    • Status: Completed
    • Contract Numbers:


    • Sponsor Organizations:

      California Department of Transportation

      1227 O Street
      Sacramento, CA  United States  95843

      Research and Innovative Technology Administration

      Department of Transportation
      1200 New Jersey Avneue, SE
      Washington, DC  United States  20590
    • Project Managers:

      Thornton, Rusty

    • Performing Organizations:

      California State University, Northridge

      18111 Nordhoff Street
      Northridge, CA  United States  91330-8232
    • Principal Investigators:

      Asef-Vaziri, Ardavan

    • Start Date: 20080801
    • Expected Completion Date: 0
    • Actual Completion Date: 20090531
    • Source Data: RiP Project 18121

    Subject/Index Terms

    Filing Info

    • Accession Number: 01462584
    • Record Type: Research project
    • Source Agency: Leonard Transportation Center
    • Contract Numbers: 2008-SGP-1030
    • Files: UTC, RiP, USDOT, STATEDOT
    • Created Date: Jan 3 2013 2:06PM