The Public Bicycle as a Feeder Mode for Metro Commuters in the Megacity Beijing: Travel Behavior, Route Environment, and Socioeconomic Factors

The last mile between metro stations and commuters’ homes or workplaces has become one of key topics in relation to ridership megacities where more than 10 million people live. Although the public bicycle is widely believed be new ways solve last-mile problem, determinants use bicycles by commuters as a feeder mode have been scarcely discussed literature. This paper aims contribute this topic using Beijing case study. Based on travel survey among bike users Beijing, study applied binary logit model cluster analysis explore around stations. focused three independent variables: route environment, socioeconomic factors, distance. results showed that middle-aged medium-income are likely for transport. built environment had significant effects use. Most cyclists preferred cycling routes with high directness, while high-income high-education viewed comfort safety trip priority factors. trips were within 2 km, longer distance was significantly related higher possibility findings conclusions can enhance our existing understanding problem provide evidence policymaking promoting bikes megacities.