This study aims to universally clarify environmental factors associated with bicycle theft by modeling the association among land-use, socio-economic factors, and facilities based on the regression analysis of bicycle thefts that occur around railroad stations. The model is developed using a negative binomial regression. The results showed that the number of bicycle thefts is positively associated with that of illegally parked bicycles and bicycle parking lots where unsupervised bicycles are parked for a long time. It is also indicated that recreational facilities where bicycles are left for a long time had association with the increase of bicycle thefts.
