This　paper　proposes　measurements　regarding　the　performance　evaluation　indexes　of　urban　public　transport　based　on　Intelligent　Card　(IC)　data.　The　analysis　is　performed　in　a　14-day　period.　In　order　to　calculate　the　number　of　station　passengers,　the　data　mining　techniques　are　used　to　process　the　trade　records　according　to　the　difference　of　sequential　trade　time.　The　test　shows　the　travel　and　operations　during　the　peak　hours　of　Beijing　subway　lines,　and　the　comparison　result　shows　higher　intensity　during　peak　hours.　©　2010　ASCE.