01551982

Component

The decision to cycle frequently in an urban setting is a complex process and is affected by a variety of factors. This study analyzed the various factors influencing cycling frequency among 1,707 cyclists from Montreal, Canada using an ordinal logistic regression. A segmentation of cyclists is used in a series of ordinal logistic models to better understand the different impacts of variables on the frequency of cycling among each group of cyclists for commute and for utilitarian purposes. The models show a variation in the impacts of each dependent variable on frequency of cycling across the various segments of cyclists. Mainly making cyclists feel safe not only on bicycle specific infrastructure but also on regular streets, emphasizing the low cost, convenience and improving the opinion on cycling in the population are effective interventions to increase bicycle usage. Also, it was shown that women were less likely to cycle to work than men, but more likely to cycle for other utilitarian trips, pointing at the presence of specific barriers to commuting for woman. Although the findings from this study are specific to Montreal, they can be of interest to transportation planners and engineers working towards increasing cycling frequency in other regions.

This paper was sponsored by TRB committee ANF20 Bicycle Transportation. Alternate title: Who Cycles More? Determining Cycling Frequency Through Segmentation Approach in Montreal, Canada.

01550057

15-1355

English

21p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

References; Tables

Bicycle commuting; Bicycle travel; Cyclists; Demographics; Factor analysis; Gender; Logistic regression analysis; Mode choice; Travel behavior

Montreal (Canada)

Pedestrians and Bicyclists; Planning and Forecasting; Society; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-1355

PRP, TRIS, TRB, ATRI

Dec 30 2014 12:31PM