This　paper　proposed　a　new　method　to　describe,　compare,　and　classify　the　traffic　congestion　points　in　Beijing,　China,　by　using　the　online　map　data　and　further　revealed　the　relationship　between　traffic　congestion　and　land　use.　The　data　of　the　point　of　interest　(POI)　and　the　real-time　traffic　was　extracted　from　an　electronic　map　of　the　area　in　the　fourth　ring　road　of　Beijing.　The　POIs　were　quantified　based　on　the　architectural　area　of　the　land　use;　the　congestion　points　were　identified　based　on　real-time　traffic.　Then,　the　cluster　analysis　using　the　attributes　of　congestion　time　was　conducted　to　identify　the　main　traffic　congestion　areas.　The　result　of　a　linear　regression　analysis　between　the　congestion　time　and　the　land　use　showed　that　the　influence　of　the　high　proportion　of　commercial　land　use　on　the　traffic　congestion　was　significant.　Also,　we　considered　five　types　of　land　use　through　performing　a　linear　regression　analysis　between　the　congestion　time　and　the　ratio　of　four　types　of　land　use.　The　results　showed　that　the　reasonable　ratio　of　land　use　types　could　efficiently　reduce　congestion　time.　This　study　makes　contributions　to　the　policy-making　of　urban　land　use.