Highlights A spatial probit model for bicycling versus non-bicycling choices is estimated. Data are from The Ohio State University’s 2012 Campus Transportation Survey. The more bicycle riders, the more attractive bicycling becomes in a neighborhood. Individual’s characteristics and transportation system conditions are controlled for. Neighborhood social effects can be used to encourage a bicycling culture in cities.
Abstract Neighborhood social effects have recently become a focus of interest in transportation research, whereby transportation mode choice is not only affected by an individual’s characteristics and transportation system conditions, but also by the mode choices of that individual’s social neighbors. This study supports the neighborhood social effects argument, using a spatial econometrics approach and data from The Ohio State University (OSU) 2012 Campus Transportation Survey. A spatial probit model of commuters’ mode choices (bicycling versus non-bicycling) is estimated, accounting for spatial autocorrelation. The results show that the more OSU-affiliated bicycle riders are residing around an individual OSU commuter, the more attractive bicycling becomes, controlling for other factors such as gender, status, proximity to campus, bicycle infrastructure and attitudes. The results indicate that students and males are more likely to commute by bicycles. The probability of choosing bicycles decreases with distance from campus. In addition, proximity to bicycle infrastructure and physical environment both encourage respondents to bicycle. Feeling of safety, travel cost and concern for the environment also affect bicycling choice.
Do your neighbors affect your bicycling choice? A spatial probit model for bicycling to The Ohio State University
Journal of Transport Geography ; 42 ; 122-130
2014-01-01
9 pages
Article (Journal)
Electronic Resource
English
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