TRANSFERABILITY OF AN INTERMODAL FREIGHT TRANSPORTATION FORECASTING MODEL TO MAJOR FLORIDA SEAPORTS

Seaports are important economic generators, and identifying necessary infrastructure improvements is essential to accommodate potential growth at these intermodal facilities. The ability of heavy trucks to access a port's freight terminals is one such operational improvement that needs to be addressed. Freight activity from Florida's major seaports generates more than 10,000 trucks per day. Efficient accessibility to freight terminals and storage facilities at ports can be provided by identifying needed improvements in transportation operations and by developing truck trip generation models to forecast truck trips in and out of the ports. In July 2001 an artificial neural network (ANN) model was developed successfully by using backpropagation techniques to simulate the transportation of freight by heavy trucks generated from an intermodal activity center such as a seaport. The general methodology for developing the model was applied to the Port of Tampa and Port Canaveral in Florida to test the transferability of the ANN modeling technique. From daily vessel freight data, models for both ports were developed successfully and validated at the 95% confidence level with data collected from the field. The validated models were executed for short-term forecasts of truck trips at both ports. Port of Tampa was forecast to have a 0.31% average annual decrease in heavy trucks, attributed to the decreasing trend in bulk commodity shipments. A 5.07% average annual increase was forecast for Port Canaveral, which correlated with historical trends and future estimates for freight activity. Output from these models can be directly used as truck variable inputs to route assignment models used by local and regional government agencies.

• Record URL:
  https://doi.org/10.3141/1820-05
• Summary URL:
  http://scholar.google.com/scholar_lookup?title=TRANSFERABILITY+OF+AN+INTERMODAL+FREIGHT+TRANSPORTATION+FORECASTING+MODEL+TO+MAJOR+FLORIDA+SEAPORTS&author=J.+Klodzinski&author=H.+Al-Deek&publication_year=2003
• Availability:
  • Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/152356.aspx
• Supplemental Notes:
  • This paper appears in Transportation Research Record No. 1820, Water Transportation, Ports, and International Trade.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Klodzinski, J
  • Al-Deek, H M
• Publication Date: 2003

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 36-45
• Serial:
  • Transportation Research Record
  • Issue Number: 1820
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Accessibility; Backpropagation; Forecasting; Freight terminals; Freight transportation; Intermodal transportation; Mathematical models; Neural networks; Seaports; Trip generation; Trucks; Validation
• Identifier Terms: Port of Tampa
• Uncontrolled Terms: Transferability of models
• Geographic Terms: Florida; Port Canaveral (Florida)
• Subject Areas: Freight Transportation; Highways; Marine Transportation; Motor Carriers; Planning and Forecasting; Terminals and Facilities; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00962045
• Record Type: Publication
• ISBN: 0309085527
• Files: TRIS, TRB
• Created Date: Aug 12 2003 12:00AM