Through　a　survey　of　6,014　residents　in　6　districts　of　Jinan,　we　analyzed　various　factors　which　affect　public　transport　share　rate　using　the　disaggregation　theory　and　combination　techniques　of　SP　data　and　RP　data.　Based　on　our　model　analysis,　we　found　that　the　time　factors　-　including　bus　travel　time,　walking　time,　and　waiting　time　-　and　the　economic　factors　-　including　ticket　price,　parking　fees　and　fuel　price　-　are　the　key　factors　influencing　the　public　transport　share　rate.　There　are　exponential　or　polynomial　function　relationships　between　the　above　factors　and　the　public　transport　share　rate.　Through　a　sensitivity　analysis　of　the　relevant　factors,　we　found　the　elasticity　value　of　the　bus　travelling　time　versus　public　transit　share　rate　is　-0.394.　Similarly,　we　concluded　how　the　changes　of　other　factors　affect　the　public　transport　share　rate.　The　results　will　provide　theoretical　basis　for　taking　measures　to　improve　the　attractiveness　of　buses　and　alleviate　traffic　congestion.　©　2014　American　Society　of　Civil　Engineers.