Owing　to　the　rapid　advent　of　urbanization　and　the　increasing　demand　for　medical　services　by　residents,　the　pressure　on　medical　services　in　densely　populated　areas　is　surging.　The　analysis　of　the　accessibility　of　medical　service　facilities　is　of　primordial　importance.　In　this　study,　the　medical　data　was　garnered　from　the　Fuzhou　Municipal　Health　Commission,　and　the　crawler　technology　was　used　to　yield　the　number　of　residential　households　to　estimate　the　population.　By　use　of　the　Baidu　map　to　obtain　the　real　time　road　condition　information　of　the　peak　and　non-peak　time　periods,　the　access　time　under　the　optimal　route　from　the　community　residential　districts　to　the　hospital　based　on　the　real-time　road　condition　was　calculated,　and　the　time　zones　of　medical　services　were　drawn.　The　accessibility　of　general　hospitals　in　the　main　urban　area　of　Fuzhou　was　analyzed　using　the　two-step　mobile　(Ga-2SFCA)　search　method　boosted　by　the　Gaussian　distance　attenuation　function,　considering　factors　such　as　the　travel　mode,　searching　time　threshold,　and　travel　peak　hours.　The　results　yielded　show　that:　(1)　By　integrating　Baidu　Map　API　into　Ga-2SFCA　model,　multivariate　and　fine-grained　analysis　of　accessibility　was　implemented,　leading　to　the　accurate　measurement　of　urban　medical　service　supply　and　demand;　(2)　The　time　cost　of　public　transportation　at　different　periods　was　less　affected　by　traffic　congestion,　and　reaching　tertiary　hospitals　was　faster.　Under　the　premise　of　advocating　green　transportation,　this　mode　of　public　transportation　was　recommended　for　medical　treatment;　(3)　Under　different　conditions,　the　accessibility　of　medical　facilities　depended　on　the　space　of　residential　differentiation　characteristics　significantly,　on　the　whole　presenting　a　＇single　center＇　and　＇diminishing　layer　coil＇　distribution.　High　accessibility　of　residential　areas　was　mainly　distributed　in　urban　core　areas,　and　the　lower　level　of　accessibility　settlement　distribution　was　in　the　peripheral　urban　areas.　However,　other　factors　can　also　influence　accessibility,　such　as　the　time　threshold.　The　accessibility　level　of　medical　services　markedly　differed　with　the　transportation　mode,　and　the　accessibility　of　medical　services　was　significantly　higher　along　the　subway.　The　choice　of　off-peak　travel　time　can　effectively　improve　the　level　of　medical　service;　(4)　Due　to　the　layout　of　urban　expressways,　the　spatial　distribution　of　medical　accessibility　in　driving　mode　was　consistent　with　that　of　roads,　presenting　a　＇loop　level＇　pattern.　However,　the　spatial　distribution　of　accessibility　under　the　public　transport　mode　was　affected　by　the　urban　bus　microcirculation　system,　displaying　the　trait　of　＇axial　expansion.＇　The　method　used　in　this　paper　provides　a　new　scientific　method　for　refined　measurement　and　analysis　of　the　accessibility　of　medical　service　facilities.　©　2022,　Science　Press.　All　right　reserved.