The　objective　is　to　regulate　the　trip　behavior　of　cars　and　alleviate　the　traffic　pressure　by　adjusting　the　parking　price　in　urban　central　areas.　The　relations　between　the　parking　price　and　the　mode　of　trip　choice　is　analyzed　by　using　a　single　factor　regression　model　based　on　the　survey　data　conducted　in　the　downtown　district　of　Beijing.　A　multiple-factor　behavior　model　is　established,　which　includes　the　factors　of　the　parking　price,　the　service　level　of　public　transit　and　so　on,　based　on　the　disaggregated　theory.　The　sensitivity　of　the　parking　price　is　also　analyzed.　The　study　reveals　variable　trends　that　the　trip　mode　choice　changes　with　the　parking　price　under　different　conditions,　and　determines　the　equilibrium　point　of　the　parking　price　of　the　trip　mode　choice　between　the　car　and　public　transit　or　taxi,　and　the　most　sensitive　interval　that　trip　mode　choice　changes　with　the　parking　price.　The　conclusions　provide　references　for　the　decision-making　on　parking　price　from　the　point　of　view　of　transport　demand　management.