The　particulate　matters　(PM10　and　PM2.5)　inside　urban　subway　stations　greatly　influence　indoor　air　quality　and　passenger　comfort.　This　study　aims　to　analyze　and　interpret　the　concentrations　of　PM10　and　PM2.5,　measured　in　several　subway　stations　from　October　9th　to　22nd,　2016　in　Beijing,　China.　The　overall　methodology　was　based　on　the　Statistical　Package　for　Social　Science　(SPSS)　software　while　General　linear　model　(GLM)　and　correlation　analysis　were　further　applied　to　examine　the　sensitivities　of　different　variables　to　the　particle　concentrations.　The　data　analysis　showed　the　average　overall　mass　ratio　of　PM　concentrations　inside　subway　station　is　about　68.7%,　much　lower　than　outdoor　condition　(79.6%).　In　the　areas　of　the　station　hall　and　platform,　the　real-time　PM10　and　PM2.5　concentrations　varied　periodically.　In　working　and　operation　offices,　all　rooms　had　much　higher　PM　concentrations　than　the　outdoor　environment　when　its　pollution　level　was　level　3,　in　which　the　facility　room　reached　the　highest　level,　while　the　closed　meeting　room　had　the　lowest.　Correlation　analysis　results　indicated　that　PM10　and　PM2.5　concentrations　were　mutually　correlated　(average　R-2　=　0.854),　and　a　strong　linear　correlation　(R-2　=　0.897)　of　the　subway-station　PM　concentrations　to　the　outdoor　PM　conditions,　regardless　of　the　outdoor　atmospheric　PM　concentrations　pollution　level　was.　Nevertheless,　the　impact　of　passenger　number　and　temperature　&　humidity　on　the　station　PM　concentrations　was　less,　when　compared　to　the　outdoor　environment.　This　paper　is　expected　to　provide　useful　information　for　further　research　and　design　of　effective　prevention　measures　on　PM　in　local　subway　stations,　towards　a　more　sustainable　and　healthier　built　environment　in　the　city　underground.