Due　to　the　increasing　number　of　urban　waterlogging　events,　systematic　risk　assessment　and　cause　exploration　are　needed　to　ensure　the　safety　of　people＇s　lives　and　property　on　roads.　In　this　paper,　the　urban　waterlogging-induced　road　traffic　safety　risk　(UWRTSR)　in　the　central　part　of　Beijing　was　assessed　and　its　driving　factors　were　investigated.　We　obtained　the　simulation　data　of　road　inundation　for　five　rainstorm　return　periods　(5-year,　10-year,　20-year,　50-year　and　100-year)　through　the　InfoWorks　ICM　hydrodynamic　model.　Then,　the　safety　risk　levels　of　pedestrians　and　vehicles　are　evaluated　with　safety　criteria　formulas　and　standards,　and　the　driving　factors　are　identified　by　the　Geodetector　model.　The　results　show　that　the　proportion　of　the　total　length　of　road　sections　at　different　risk　levels　for　pedestrians,　stationary　vehicles　and　moving　vehicles　increased　with　increasing　rainstorm　return　period,　while　for　the　same　road　section,　the　risk　level　for　pedestrians　or　vehicles　may　increase　due　to　a　higher　intensity　rainstorm　event.　The　results　of　subsequent　driving　factor　analysis　show　that　slope,　terrain　ruggedness　index　(TRI)　and　LS　factor　were　the　top　three　single-factor　explanatory　powers,　with　the　joint　effect　of　slope　and　rain　pipe　capacity　(RPC)　possessing　the　largest　explanatory　power.　It　is　found　that　a　high　level　UWRTSR　is　to　be　generated　in　road　sections　with　low　drain　network　specifications　and　high　slope　gradients.　Our　research　may　help　smooth　emergency　resource　management,　road　network　construction　and　reconstruction　to　mitigate　the　waterlogging　risk.