Analyzing　travel　behavior　of　inhabitant　can　provide　guidance　and　suggestions　for　urban　traffic　management　and　planning,　land　use　planning,　etc.　In　this　paper,　we　designed　a　system　to　analyze　the　travel　behavior　of　inhabitant　using　the　smart　card　data　of　urban　rail　transit　from　two　aspects,　spatial　visualization　analysis　and　temporal　visualization　analysis.　In　spatial　visualization　analysis,　we　first　conducted　spatial　and　temporal　aggregation　for　the　whole　city＇s　smart　card　data.　Then,　we　designed　a　spatial　chord　glyph　to　display　the　aggregated　data.　In　temporal　visualization　analysis,　we　first　proposed　an　algorithm　to　determine　the　degree　and　direction　of　cross-regional　flow.　Then,　we　study　the　degree　of　stability　based　on　the　algorithm.　We　conducted　experiments　based　on　urban　rail　transit　in　Beijing,　the　results　show　that　our　system　can　provide　appropriate　advice　and　support　for　urban　traffic　management　and　planning　as　well　as　land　use　planning.