Abstract
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 prices of public and private transportation, the price of non-transportation goods, service characteristics of the competing modes, comfort levels, income and socio-economic 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.