A　serious　competition　existed　between　the　electric　bike　(e-bike)　and　the　bus　on　medium　and　short　trips.　In　order　to　ensure　a　safe,　orderly,　and　smooth　flow　of　city　traffic,　this　paper　researched　thee-bike　travelers＇　intentions　and　boundary　conditions　for　the　transfer　to　public　transport.　The　socio-economic　characteristics,　traveler　trip　characteristics,　and　potential　trip　model　choices　of　e-bike　travelers　were　investigated　using　a　questionnaire.　Based　on　the　questionnaire　data,　the　influencing　factors,　such　as　bus　fares,　bus　travel　time,　management　policies　and　care　factors　on　the　travel　model　choice,　were　analyzed　to　obtain　the　regularity　of　the　behavior　of　the　users.　The　RP　model,　SP　model,　and　the　RP　and　SP　data　fusion　model　for　e-bike　travel　choice　were　established,　based　on　Binary　LogitModel.　Finally,　sensitivity　analysis　of　the　factors　was　performed.　Jinan　had　been　chosen　as　a　case　study.　The　results　show　that:　(1)　the　parametric　test　veracity　of　the　SP　and　RP　data　fusion　model　is　satisfied;　(2)　people　on　the　sensitivity　of　the　ticket　price　level　far　outweighs　the　sensitivity　of　the　degree　of　time,　nearly　10%　of　the　e-bike　trip　to　the　bus　transfer　can　be　achieved　by　reducing　fares;　(3)　implementing　management　policies,　reducing　bus　waiting　time,　improving　the　efficiency　of　public　transport　and　setting　free　BRT　transfer　points　can　promote　people　to　take　bus　instead　of　e-bike.　©　2013　American　Society　of　Civil　Engineers.