The　behavior　of　stair/escalator/elevator　selection　of　passengers　at　the　subway　platform　could　directly　affect　the　travel　efficiency　and　even　the　service　level　of　the　station.　This　paper　proposes　a　stair/escalator/elevator　selection　model　of　passengers　at　the　subway　platform,　where　the　cellular　automata　model　is　used　to　simulate　passenger　movement,　and　the　fuzzy　logic　theory　is　used　to　describe　selection　behavior.　The　distance　to　the　stair/escalator/elevator　and　the　density　of　passengers　in　front　of　the　facility　are　selected　as　the　main　influence　factors.　The　rationality　and　effectiveness　of　the　selection　model　are　verified　by　comparing　the　field　data　with　simulation　results　of　passengers　choosing　different　stairs/escalators/elevators.　The　relationship　between　passenger　quantity,　passenger　speed,　escalator　quantity,　escalator　location,　and　the　traffic　rate　is　analyzed　based　on　simulation　results,　which　can　provide　a　theoretical　reference　for　the　facility　layout　optimization　at　the　platform　floor　of　the　subway　station.