Passenger　flow　under　emergencies　has　been　a　very　crucial,　complex　issue　and　a　rich　ore　for　cross-disciplinary　studies　involving　many　areas　such　as　computer　sciences,　social　psychology,　transportation　engineering,　urban　planning,　public　safety　management,　laws　and　policies,　etc.　This　study　collected　literatures　that　related　to　managing　sudden　peaks　of　passenger　flow　at　public　stations　in　China,　including　four　types　of　open　sources:　a)　academic　papers,　b)　social　media　and　newspaper,　c)　industrial　or　governmental　regulations　and　laws,　and　d)　patents.　By　using　Qualitative　Data　Analysis　through　NVivo　software,　cross　analyses　were　conducted　that　compared　data　dependency,　data　integration,　and　data　innovation　capacity　in　around　100　documents　from　2008　to　2019.　The　conclusion　demonstrated　importance　evolution　of　digital　transformation　for　managing　emergency　of　passenger　flow　in　different　times　and　areas.　©　2022　PICMET.