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

Details

• Creators:
  Asef-Vaziri, Ardavan
• Corporate Creators:
  California State University, Northridge. Dept. of Systems and Operations Management
• Subject/TRT Terms:
  Container Terminals Container Terminals--California--Inland Empire--Planning Decision Support Systems Decision Support Systems--California--Inland Empire River Ports
• Resource Type:
  Tech Report
• Geographical Coverage:
  California
• Corporate Publisher:
  Leonard Transportation Center.
• 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.
  
  
• Format:
  PDF
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha256:067673b8dc7c77f9ed1fb77feca30f66f0fc8ab0a76daa739f3112b343ade006
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/18094/dot_18094_DS1.pdf
• File Type:
  [PDF - 876.73 KB ]