This　paper　investigated　the　relationship　of　traffic　mode　split　and　traffic　congestion　charging.　Based　on　the　tourists＇　travel　survey　data　in　Beijing,　this　paper　established　Mixed　Logit　model　to　examine　tourists＇　behavior　of　travel　mode　choice.　In　this　model,　travel　time　and　travel　cost　were　regarded　as　key　influencing　factors,　and　the　changes　of　the　traffic　mode　splits　under　different　congestion　pricing　rates　can　be　predicted　by　simulation.　It　is　found　that　the　time　coefficient　obeys　normal　distribution　and　travel　cost　coefficient　obeys　uniform　distribution　in　the　utility　function　of　travel　mode　choice.　The　trip　distance　and　complexity　of　trip　chain　are　related　to　the　effectiveness　of　traffic　congestion　charging.　The　results　indicate　that　tourists　have　different　preferences　for　travel　time　and　travel　cost.　Charging　has　little　impact　on　short　distance　travel,　and　longer　travel　distance　and　more　complex　trip　chain　lead　to　higher　utilization　of　public　transportation.　The　research　can　provide　useful　reference　for　developing　scientific　measures　of　tourism　traffic　management.　©,　2015,　Editorial　Department　of　Journal　of　Chang＇an　University　(Natural　Science　Edition).　All　right　reserved.