Traffic　mode　choice　behavior　research　is　always　the　important　content　in　the　transportation　planning　research　field.　The　paper　takes　resident　traffic　mode　choice　as　the　object　of　study,　analyzes　the　related　factors　affecting　resident　traffic　mode　choice,　takes　use　of　the　BP　neural　network　can　automatically　obtain　the　relationship　between　the　study　object　input　and　output　and　strong　characteristics　between　learning　and　training,　establishes　a　traffic　mode　choice　model　which　based　on　BP　neural　network,　and　verifies　the　model　by　using　the　resident　trip　survey　data　of　Jinan　City　in　2009.　The　result　shows　that　the　model　has　a　very　good　practicality　and　can　be　utilized　for　resident　trip　traffic　mode　choice　forecast.　©　2011　IEEE.