Overview

Abstract (English)

This paper investigates the significant factors that explain the traveled distance of normal and extreme commuters in Windsor, Canada. Multivariate regression analysis is applied to a dataset extracted from the 2006 Census of Canada master file. The results indicate that significant socioeconomic and land use determinants of normal commute distance are also applicable to extreme commute distance. However, land use factors are more instrumental when explaining extreme commute distance. The results suggest that sex, age, occupation type, mode of transportation, migration, employment status, mixed land uses, and job concentration at the place of residence of the worker all explain commute distance. The results from the mixed land use variables shed some light on the importance of smart growth in limiting long commutes.

Abstract (French)

Please note that abstracts only appear in the language of the publication and might not have a translation.