This study explores the factors influencing an individual's propensity to use bicycles. Models were generated using binomial logistic regression for each of the four outcome conditions. Socio-economic variables such as gender, and psychological factors consistently appeared as significant predictors, particularly the perception of self-efficacy and inherent preference to bicycle as a mode of transport. Perceived environmental factors such as connectivity, bikeable destinations, and security significantly influence the propensity to cycle. Practical ways to increase bicycling rates and recommendations to improve the predictive capacity of the models are also discussed.