There　are　many　factors　influencing　travel　behavior　of　public　transport　commuters.　To　analyze　the　accurate　travel　demands　and　optimize　public　transport　operation,　it　is　necessary　to　find　ways　to　obtain　the　influencing　factors　on　travel　behaviors　of　different　public　transport　passengers.　Based　on　RP　survey　data　and　multi-source　data　of　Beijing　public　transportation,　the　commuter　individual　travel　chains　of　public　transportation　with　different　stability　(i.e.,　high,　moderate　and　low　stability)　were　extracted.　Furthermore,　for　passengers　with　different　stability,　taking　exogenous　attributes　and　individual　characteristics　as　exogenous　variables,　and　taking　single　trip　characteristics,　departure　time　and　trip　purpose　as　endogenous　variables,　a　structural　equation　model　oriented　to　the　impact　relationship　between　individual　departure　time　and　trip　destination　was　constructed.　The　study　shows　that　the　departure　time　and　destination　of　high-stability　commuters　are　obviously　affected　by　individual　characteristics.　The　departure　time　and　destination　of　medium-stability　commuters　are　greatly　affected　by　single　trip　characteristics,　while　the　departure　time　and　destination　of　low-stability　commuters　are　significantly　affected　by　single　trip　characteristics　and　external　attributes.　©　2019,　Editorial　Department　of　Journal　of　Wuhan　University　of　Technology.　All　right　reserved.