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Extrapolating Automobile Usage Data to Long Time Periods

Author

Listed:
  • Abraham D. Horowitz

    (General Motors Research Laboratories, Warren, Michigan)

  • Carlos F. Daganzo

    (University of California, Berkeley, California)

Abstract

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.

Suggested Citation

  • Abraham D. Horowitz & Carlos F. Daganzo, 1986. "Extrapolating Automobile Usage Data to Long Time Periods," Transportation Science, INFORMS, vol. 20(1), pages 48-51, February.
    • Handle: RePEc:inm:ortrsc:v:20:y:1986:i:1:p:48-51
    DOI: 10.1287/trsc.20.1.48
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