The　recent　rise　of　online　car-hailing　has　successfully　promoted　the　booming　of　sharing　economy　in　transportation　and　sets　up　new　mode　for　intra-city　trips.　However,　it　comes　with　serious　risk　for　passengers,　drivers　and　online　car-hailing　platforms　(OCPs).　Few　researches　have　explored　the　risk　of　OCPs　services　despite　most　research　focus　on　the　safe　assessment/evaluation　system.　As　a　special　transportation　service　enterprise,　the　research　on　the　safe　of　OCPs　is　obviously　insufficient.　This　paper　explores　the　focus　of　online　car　Hailing　industry-related　researches,　and　build　a　framework　for　OCPs　services　by　identifying　8　topics　from　883　research　papers.　Natural　language　processing　method　are　adopted　to　achieve　the　target　and　specifically,　the　TF-IDF　algorithm　and　LDA　model　are　applied　in　the　study.　The　results　show　that　regional　policy　background　provides　basic　safe　situation　for　OCPs　services,　and　stress　the　importance　of　safety　improvement　from　both　macro　vision　and　detailed　optimization　method.　Besides,　current　disputes　and　dilemma　of　OCPs　safe　operation　and　the　legal　status　and　responsibility　of　OCPs　should　be　paid　more　attention.　In　addition,　shielded　from　various　risks　(e.g.,　functional　risk,　time　risk　physical　risk,　financial　risk)　is　a　key　to　get　the　advantage　in　the　competition　for　market　share.　Finally,　practice　and　planning　of　OCPs　services　in　regions　is　needed　to　promote　the　safe　operation　of　OCPs　services.　©　2022,　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.