With　the　development　of　Chinese　cities,　the　mixed　behavior　at　bus　stops　during　the　early　commuting　period　is　severe,　which　seriously　affects　the　safety　of　passengers.　Thus,　in　this　paper,　we　propose　a　cellular　automaton　(CA)　model　to　simulate　bus　arrival,　non-motor　vehicles　movement　and　passenger　boarding　processes　in　mixed　traffic　area　of　bus　station.　Data　is　collected　to　explore　the　passengers’　movements　and　the　complex　traffic　phenomena　(e.g.,　bus＇s　two　driving　routes　and　different　number　of　arriving　buses　simultaneously)　at　the　station.　Based　on　collected　data,　the　parameters　are　calibrated　and　the　simulation　scenario　is　built.　Numerous　simulations　are　conducted　to　further　analyze　the　impact　of　microscopic　behaviors　of　buses　and　passengers　on　safety　at　bus　station.　Moreover,　the　most　dangerous　areas　of　bus　station　are　delineated　under　the　extended　CA　model.　Comparison　between　two　cases　with　and　without　non-motor　vehicles　reveals　that　the　non-motor　vehicles　have　prominent　negative　impacts　on　safety.　Finally,　some　suggestions　for　bus　drivers,　passengers　and　managers　are　proposed　from　the　perspective　of　safety.　The　above　results　provide　a　theoretical　foundation　for　the　effective　management　of　passengers　and　bus　drivers　at　bus　station.　©　2022　Elsevier　B.V.