This　paper　aims　to　evaluate　the　accessibility　of　multimode　transport　facilities　to　suburban　tourist　attractions,　under　the　background　of　detailed　needs　of　tour　transportation　planning　and　urban　development.　Accessible,　convenient,　and　sustainable　tour　transportation　network　is　the　prerequisite　for　tourists　entering　tourist　attractions　and　completing　activities.　Based　on　multisource　data　and　the　GIS　network　analysis　method,　an　accessibility　model　of　suburban　tourist　attractions　at　community　scale　was　constructed　combining　population　with　average　shortest　travel　distances　(ASTD)　or　the　average　minimum　travel　time　(AMTT)　by　auto,　public　transport,　and　bike.　Taking　Beijing　as　an　empirical　analysis,　the　main　conclusions　are　as　follows.　(1)　The　spatial　distribution　of　suburban　tourist　attractions　is　fan-shaped　with　tourism　resources　mainly　gathering　on　the　north,　west,　and　south　of　Beijing.　(2)　The　ASTDs　of　tourist　attractions　and　communities　are　73.11　and　69.40　km,　respectively.　The　average　nonlinearity　coefficient　of　ASTD　of　tourist　attractions　is　divided　into　three　categories　including　high,　medium　and　low　convenience,　accounting　for　0%,　78.57%,　and　21.43%,　respectively.　(3)　The　accessibility　of　suburban　tourist　attractions　has　obvious　spatial　difference　under　multimode　traffic　network,　showing　an　attenuation　phenomenon　of　diffusion　from　the　city　center　to　suburbs.　A　total　of　98.21%　of　them　can　be　reached　within　2　h　by　auto,　while　that　number　drops　to　37.50%　by　public　transport,　and　32.14%　by　bike.　The　proposed　model　applicable　for　the　accessibility　of　suburban　tourist　attractions　provides　reference　for　in-depth　description　and　optimization　of　the　actual　traffic　accessibility,　as　well　as　tourism　transportation　planning　within　the　city　region.