Publication Detail

The Impact of Bicycle Theft on Ridership Behavior

UCD-ITS-RP-24-33

Journal Article

BicyclingPlus Research Collaborative

Suggested Citation:
Cohen, Achituv, Trisalyn Nelson, Moreno Zanotto, Dillon T. Fitch-Polse, Elizabeth A. Buffalo, Elizabeth Schattle, Seth Herr, Meghan Winters (2024)

The Impact of Bicycle Theft on Ridership Behavior

. International Journal of Sustainable Transportation

Cities worldwide are promoting bicycling as a sustainable mode of transportation. However, bicycle theft remains a significant deterrent for potential riders, and also influences the behaviors of existing cyclists. Understanding the impact of theft on bicycling behaviors provides a foundation for developing strategies to address the negative impacts of bicycle theft. Our goal is to characterize if and how bicycle theft changes individual bicycling behavior. We gathered responses from 1821 individuals in a survey focused on bicycle theft in North America. We employed bivariate analysis and binary logistic regression models to explore the relationships between demographic factors, bicycle attributes, and pre-theft behavior to explain post-theft bicycling behavior. The results show that 45% of survey respondents reduced or ceased bicycling post-theft, while 6% increased their bicycling. Additionally, 40% transitioned from bicycling to unsustainable modes of transportation for their post-theft trips. Also, 69% of people eventually replaced their stolen bicycles, of which 46% selected models of equal/higher value. Pre-theft bicycling activity emerged as the most influential factor on ridership behavior after a bicycle theft, with occasional riders experiencing the most negative impact, compared to frequent riders, who remained committed to bicycling. Recovery of the stolen bicycles, e-bicycle usage, number of bicycles owned, and income levels were also predictors of future bicycling patterns. The insights from this research can inform targeted interventions for populations most at risk to reduce the negative impact of bicycle theft, such as secure parking for new and low-income bicyclists.


Key words:

bicycle theft, bicycling, logistic regression, sustainable transportation