Previous　traffic　mode　researches　are　mainly　based　on　the　influences　of　individual　characteristics　to　the　traffic　mode　choice,　and　researches　on　the　correlation　analysis　of　different　kinds　of　individual　specialties　and　different　traffic　mode　features　are　very　limited.　Taking　the　medium　and　long　distance　commuters　as　subjects,　a　structural　equation　model　was　built　in　this　paper　by　extracting　selective　parameters　of　individual　specialty　and　traffic　mode　features.　Meanwhile,　interactions　between　the　individual　specialties　and　the　traffic　mode　features　of　public　transportation　or　self-driving　were　analyzed,　and　then　the　direction　and　degree　of　all　effective　factors　and　the　public　transportation　willingness　were　captured.　Results　show　that　individual　economic　level　has　essential　effect　on　the　traffic　mode　choice.　Less　walking　time　after　parking,　lower　parking　fee　and　abundant　parking　spaces　encourage　people　to　commute　by　car.　However,　the　public　transportation　attraction　increases　by　reducing　the　waiting　and　transfer　time,　and　improving　the　running　speed.　This　paper　has　significance　for　policy　makers　in　urban　area　who　encourage　people　to　travel　by　public　transportation.　©,　2015,　Beijing　University　of　Technology.　All　right　reserved.