Objectives:　The　potential　virus　in　transportation　facilities　poses　a　serious　risk　to　travelers.　This　research　focus　on　the　commuting　by　metro　on　the　risk　of　the　coronavirus　disease　2019　(COVID-19).　The　main　purpose　is　to　explore　the　trajectory　of　virus　transmission　and　the　effectiveness　of　various　control　measures.Methods:　A　transmission　model　was　established　on　the　basis　of　the　susceptible-infected-recovered　(SIR)　model,　combined　with　the　spatial　and　temporal　characteristics　of　the　metro　passenger　flow.　The　implementation　effects　of　the　emergency　strategies　were　analyzed　through　a　series　of　simulation　experiments.　The　changes　in　passenger　flow　affected　by　the　virus　transmission　were　analyzed　both　under　the　single　intervention　condition　of　the　disinfection　or　off-peak　travel　policy　and　their　double　interventions.Results:　The　results　of　the　experiments　show　that　disinfection　and　off-peak　travel　can　effectively　reduce　the　number　of　the　infected　people.　To　promote　the　disinfection　is　better　than　the　off-peak　travel　strategy.　The　optimal　solution　is　the　combination　of　these　two　strategies,　thereby　reducing　the　infection　rate　in　the　stations　effectively.　In　particular,　it　can　reduce　the　number　of　potential　infected　people　in　high-traffic　stations　by　50%.Conclusions:　This　study　provides　a　scientific　basis　for　the　prevention　of　COVID-19　in　the　urban　transportation　system　and　the　formulation　of　public　emergency　strategies.　It　can　also　be　applied　to　other　epidemic　diseases　such　as　the　seasonal　flu,　for　public　health　prevention.