The　analysis　on　the　park　and　ride　demand　is　the　basis　for　the　planning　and　construction　of　park　and　ride　facilities.　This　paper　analyzes　the　characteristics　of　park　and　ride　demand　distribution　by　the　park　and　ride　demand　survey　data　in　Beijing.　Then　the　demand　density　(or　intensity)　distribution　chart　was　obtained　by　the　Kernel　density　estimation　method.　Lastly,　the　paper　discusses　the　relation　between　the　park　and　ride　intensity　and　effected　factors　based　on　the　Structural　equation　modeling　theory.　The　conclusions　are　that　the　poorer　the　traffic　condition　for　the　destination,　the　higher　the　public　traffic　service　level,　the　closer　the　distance　from　the　departing　area　to　the　park　and　ride　facility　for　the　travelers,　the　smaller　the　travel　angle,　the　bigger　is　the　park　and　ride　demand　intensity.　The　study　results　give　some　references　for　the　demand　forecasting　of　the　park　and　ride　in　metropolis.　©　2011　ASCE.