EXTRAPOLATING AUTOMOBILE USAGE DATA TO LONG TIME PERIODS

This study illustrates a statistical procedure that can be used to estimate the fraction of a given population experiencing a "rare" event during a long time period, given a few days of observation. In an automobile usage context, the rare event could be the occurrence of an automobile occupancy of four or more persons and/or a travel distance of 100 miles or more on any given day. The technique, which can be important for the design of durable goods, is illustrated with four numerical examples. (Author abstract)

• Availability:
  • Find a library where document is available. Order URL: https://www.library.northwestern.edu/find-borrow-request/requests-interlibrary-loan/lending-institutions.html
• Authors:
  • Horowitz, A D
  • Daganzo, C F
• Publication Date: 1986-2

Media Info

• Features: References;
• Pagination: p. 48-51
• Serial:
  • Transportation Science
  • Volume: 20
  • Issue Number: 1
  • Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
  • ISSN: 0041-1655
  • Serial URL: http://transci.journal.informs.org/

Subject/Index Terms

• TRT Terms: Automobile travel; Estimating; Extrapolation; Operations research; Statistical analysis; Time duration
• Old TRIS Terms: Long time periods; Rare events
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00459088
• Record Type: Publication
• Source Agency: Engineering Information, Incorporated
• Files: TRIS
• Created Date: Oct 31 1986 12:00AM