Estimating Truck Trip Generation for Airport Air Cargo Activity

This synthesis of practice compiles existing information about air cargo truck trip generation studies. Information used in this study was acquired through literature review, interviewing experts and industry officials, and conducting in-depth case examples of three selected airports. The major air cargo airports and air cargo planning officials interviewed for this study generally confirmed the absence of readily available and reliable truck trip generation data for air cargo facilities. However, no airport suggested that obtaining and applying such data is a priority. There is limited airport experience to compile validating that developing truck trip generation rates would facilitate improvements in air cargo facilities. One exception to this pattern is Los Angeles International Airport (LAX), where local legislation requires the airport annually to develop and publish counts of air cargo truck traffic for one busy day in the year. The only truck trip modeling initiative related to air cargo that was identified nationwide—the Southern California Association of Governments’ Heavy-duty Truck Model—generates estimates of air cargo truck trips based on the output of the Regional Airport Demand Allocation Model. Air cargo company officials stated that their firms are willing to (and do) share certain truck trip data to support trip generation rate development. However, the firms are generally able to share such data only in a highly aggregated form for a specific facility to maintain their competitive positions, comply with antitrust rules, and abide by customer data confidentiality agreements. In addition, these officials noted that a decision to share any such information would need to be made in the context of legal and business ramifications for the firm, adding an additional layer of complexity to obtaining truck trip data. It is difficult to determine the actual level of demand for air cargo facility-related truck trip generation rates across potential users. It is unclear whether the lack of readily available data is a driver or a consequence of the limited occurrences of trip rates being developed and applied. Because every air cargo facility and airport has unique characteristics, it is unlikely that a single truck trip generation rate or range of rates can be applied across all airports. Therefore, further research would help to fully assess the details of the available data sources and methods discussed in this report to determine the most effective combination of data and methods for application to different airports.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; Glossary; References; Tables;
  • Pagination: 56p
  • Serial:
  • Publication flags:

    Open Access (libre)

Subject/Index Terms

Filing Info

  • Accession Number: 01643230
  • Record Type: Publication
  • ISBN: 9780309390033
  • Report/Paper Numbers: Project A11-03, Topic S03-13
  • Files: TRIS, TRB, ATRI
  • Created Date: Aug 8 2017 8:50AM