Parking　fee　is　a　significant　factor　influencing　the　travel　structure　of　residents　and　even　the　urban　traffic　condition.　The　policy　may　vary　because　of　different　car　ownerships　and　parking　fee　payers.　The　Revealed　Preference　(RP)　and　Stated　Preference　(SP)　of　parkers　in　chosing　trip　modes　under　different　parking　fee　policies　in　downtown　Beijing　are　investigated.　Two　multi-logit　models　are　established　based　on　two　databases　from　the　investigation,　respectively.　The　results　of　the　model　analysis　show　that　both　the　parking　fee　rate　and　the　type　of　parking　payers　have　prominent　influences　to　travel　mode　choice,　and　the　parking　fee　rate　would　have　more　significant　influence　on　the　group　who　pay　by　themselves.　Based　on　these　factors,　parking　demand　management　and　traffic　demand　management　can　play　a　role　in　adjusting　traffic,　and　the　models　provide　a　quantitative　method　for　analyzing　traffic　demand　according　to　different　types　of　payers.