Bike Sharing is an important travel mode in urban areas. We aim to detect the potential of the travel-mode shift from cars to shared bikes, and explore its possible influences. We propose a binary travel-mode choice model and consider travel cost of private bikes as a function of usage frequency, which will be distinguished from shared bikes. Based on the differences and similarities between private bikes and shared bikes, the choice model calibrated by private bikes and cars can be used in the mode choice between cars and shared bikes, where the travel cost of shared bikes is different from private bikes. We made a case study, using Beijing's travel data to calibrate a binary choice model between cars and private bikes and predicted the mode shift from cars to shared bikes. There are several quantitative results and relative qualitative explanations, describing the scale and impacts of the travel-mode shift.
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