AGGREGATE TIME-SERIES ANALYSIS OF URBAN TRANSIT DEMAND: THE MONTREAL CASE

This paper shows how readily available monthly time-series data may be used to explain the aggregate demand for public transit in particular urban areas in terms of the prices of public and private transportation, the price of non-transportation goods, service characteristics of the competing modes, comfort levels, income and socioeconomic variables, etc. Parameter values pertain to the adult market of the Montreal Urban Community Transit Commission over the period December 1956 to December 1971. Estimates are obtained by using linear regression techniques in conjunction with the Box-Jenkins procedures for the specification of the Rth-order autoregressive process of the error terms. /Author/

• Corporate Authors:

  Pergamon Press, Incorporated

  Maxwell House, Fairview Park
  Elmsford, NY  United States  10523
• Authors:
  • Gaudry, M
• Publication Date: 1975-8

Media Info

• Pagination: p. 249-258
• Serial:
  • Transportation Research /UK/
  • Volume: 9
  • Issue Number: 4
  • Publisher: Pergamon Press, Incorporated

Subject/Index Terms

• TRT Terms: Comfort; Demand; Forecasting; Level of service; Linear regression analysis; Mode choice; Passenger comfort; Passengers; Prices; Public transit; Quality of service; Socioeconomic factors; Time series analysis; Transportation planning; Travel demand; Urban transportation
• Uncontrolled Terms: Service
• Geographic Terms: Montreal (Canada)
• Subject Areas: Economics; Highways; Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Public Transportation; Railroads; Society;

Filing Info

• Accession Number: 00125771
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 16 1981 12:00AM