01623119

Component

This study examines the factors that influence bicycle commute choice.Links between individual attitudes, neighborhood types and bicycle commute are explored based on the 2015 Ohio State University Campus Travel Pattern Survey data. Evidence on how personal attitudes and commute behaviors vary across various neighborhoods types is presented. 9 attitudinal components created using Principal Component Analysis based on 27 bicycle-specific attitudinal survey questions capture detailed attitudes and perceptions of campus commuters. Discrete neighborhood typologies are generated based on land-use and built environment indicators, including population and employment densities, housing units and types, median household income and street intersection density. Binary probit regression models that incorporate sociodemographic, attitudinal and neighborhood factors are estimated to analyze the effects of attitudes and neighborhood environments after accounting for self-selection effects. The models reveal the varying tendencies towards bicycling commute among people with different attitudes and neighborhood settings and point out the effects of residential self-selection. The results confirm that any modelling approach that focuses on bicycling choice should address attitudinal factors, neighborhood characteristics and residential self-selection.

This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation.

01618707

17-03697

English

20p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Attitudes; Bicycle commuting; Demographics; Neighborhoods; Probits; Social factors; Travel patterns; Travel surveys

Ohio State University

Principal component analysis

Pedestrians and Bicyclists; Planning and Forecasting

Transportation Research Board Annual Meeting 2017 Paper #17-03697

TRIS, TRB, ATRI

Dec 8 2016 11:24AM