Under　the　background　of　Covid-19　sweeping　the　world,　safe　and　reasonable　passenger　flow　management　strategy　in　subway　stations　is　an　effective　means　to　prevent　the　spread　of　virus.　Based　on　the　social　force　model　and　the　minimum　cost　model,　the　movement　and　path　selection　behavior　of　passengers　in　the　subway　station　are　modeled,　and　a　strategy　for　passenger　flow　management　to　maintain　a　safe　social　distance　is　put　forward.　Take　Qingdao　Jinggangshan　Road　subway　station　of　China　as　the　simulation　scene,　the　validity　of　the　simulation　model　is　verified　by　comparing　the　measured　value　and　simulation　value　of　the　time　required　for　passengers　from　getting　off　the　train　to　the　ticket　gate.　Simulation　results　indicate　that　controlling　the　time　interval　between　incoming　passengers　at　the　entrance　can　effectively　control　the　social　distance　between　passengers　and　reduce　the　risk　of　epidemic　infection.　By　comparing　the　evacuation　process　of　passengers　under　different　initial　densities,　it　is　found　that　the　greater　the　initial　density　of　passengers　is,　the　longer　the　passengers　are　at　risk　social　distance.　In　the　process　of　passenger　emergency　evacuation,　the　stairs/escalators　and　ticket　gates　are　bottleneck　areas　with　high　concentration　of　passenger　density,　which　should　be　strictly　disinfected　many　times　on　the　basis　of　strictly　checking　the　health　code　of　incoming　passengers　and　controlling　the　arrival　time　interval.　The　simulation　results　of　this　paper　verify　the　harmfulness　of　passenger　emergency　evacuation　without　protective　measures,　and　provide　theoretical　support　for　the　operation　and　management　of　subway　station　under　the　epidemic　situation.