ESTIMATING THE IMPACT OF RECENT INTERVENTIONS ON TRANSPORTATION INDICATORS

Whenever an unusual event disrupts the structural patterns of a time series, one of the aims of a forecaster is to model the effects of that event, with a view to establishing a new basis for forecasting. Intervention analysis has long been the method of choice for such adjustments, but it is often represented as a procedure for dealing with events in the middle of the time series rather than for the most recent observations. This paper develops a method, termed the three-intervention approach, to provide a flexible solution to this problem.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/37387952
• Corporate Authors:

  Research and Innovative Technology Administration

  Bureau of Transportation Statistics, 1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Ord, K
  • Young, P
• Publication Date: 2004

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 69-85
• Serial:
  • Journal of Transportation and Statistics
  • Volume: 7
  • Issue Number: 1
  • Publisher: Research and Innovative Technology Administration
  • ISSN: 1094-8848
  • Serial URL: http://www.bts.gov/publications/journal_of_transportation_and_statistics/

Subject/Index Terms

• TRT Terms: Airlines; Forecasting; Process control; Time series
• Subject Areas: Aviation; Highways; Planning and Forecasting; I10: Economics and Administration;

Filing Info

• Accession Number: 00986783
• Record Type: Publication
• Files: TRIS, USDOT
• Created Date: Feb 16 2005 12:00AM