A decision support tool for locating an impact of an inland port in Inland Empire.
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A decision support tool for locating an impact of an inland port in Inland Empire.

  • Published Date:

    2009

  • Language:
    English
Filetype[PDF-876.73 KB]


Details:
  • Resource Type:
  • Geographical Coverage:
  • OCLC Number:
    681774227
  • NTL Classification:
    NTL-FREIGHT-FREIGHT ; NTL-FREIGHT-Freight Planning and Policy ; NTL-MARINE/WATERWAYS TRANSPORTATION-Marine Planning and Policy ;
  • Abstract:
    By diverting port-related truck trips to rail, the development and operation of an inland port in southern california (i) increase transportation efficiency by switching from truck to train, (ii) create a smoother flow on the highways, (iii) create a cleaner environment, (iv) increase the capacity of the ports, (v) reduce demands on port land, and (vi) promote inland economic development and logistics integration. The secondary functions could be: (a) empty container depot, (b) air cargo consolidation, (c) transloading, (d) free trade zoning, (e) agile port container sorting. (f) value-added services, and (g) trade processing. In several reports, Inland Empire has been named as an attractive location for an inland port serving ports of Los Angeles and Long Beach. 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. Given the daily origin-destination data from the ports to the distribution centers and processing centers 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 truck miles traveled for the sites other than the theoretical optimal site.
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