Abstract
A direct ridership model for Canadian rail rapid transit systems is presented. The goal of the study was to produce a ridership model to evaluate the specific context of Canadian rapid transit: no comprehensive model existed. Data were collected for Canada's five largest cities, including 342 stations with an average weekday ridership of more than 3 million passengers. Using bootstrapped ordinary least squares regression with station boardings as the dependent variable and 44 socio economic, built environment, and system attributes as potential explanatory variables, which were chosen after a review of the direct ridership model literature, the study yielded one model with an adjusted R2 value of .8033. The results are similar to those of models constructed in the United States with respect to densities, land uses, and station amenities, and socioeconomic variables do not appear to be significant. The absence of socioeconomic variables in the final model indicates that planners and policy makers have significant scope to exert influence over transit use through land use planning, design, and service features.
Accepted Version (
Free)
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call