Urban mobility is a critical aspect of modern city life, and the integration of sustainable transportation modes, such as cycling, has gained prominence. However, in Izmir, a vibrant city in Turkey, there are limited cycling routes, which poses a challenge for cyclists. This study aims to model the behaviour of individuals who choose to cycle in İzmir despite the lack of proper infrastructure, particularly focusing on their interaction with public transportation. To achieve this, we employ binary logistic regression to analyse the factors influencing individuals’ decision to combine cycling with public transportation. Variables considered include travel distance, travel purpose, bike use frequency, socioeconomic factors, and the availability of alternative transportation options. The dataset is derived from surveys conducted among cyclists in İzmir, capturing their preferences, challenges faced, and motivations for choosing this …