Modeling the Transfer of Residents’ Travel Mode Considering Bike-Sharing Based on Logit Model

The introduction of bike-sharing provides a new travel mode option. Revealed preference (RP) and stated preference (SP) surveys were conducted on the travel mode of Nanjing residents from four aspects: individual attributes, built environment, travel characteristics, and travel willingness. Multinomial logit model and mixed logit model are used to analyze the impact of different factors on the transfer of residents’ travel modes after the introduction of bike-sharing. The results show that the influence of age, education, and income on the number of bike-sharing used by residents is negative; distance between site and destination, owning no car and travel cost are positively significant to use bike-sharing; the influence of weather and travel distance on the degree of willingness of transferring to bike-sharing related travel modes (bike-sharing, bike-sharing + public transportation) is negative. This study provides insight to urban transport policy formulation and operations management of bike-sharing programs.