Quantization　of　the　relationship　between　travel　intensity　and　land　use　patterns　is　still　a　critical　problem　in　urban　transportation　planning.　Achieved　researches　on　land　use　patterns　are　restricted　to　macrodata　such　as　population　and　area,　which　failed　to　provide　detail　travel　information　for　transportation　planners.　There　is　still　problem　on　how　to　reflect　the　relationship　between　transport　and　land　use　accurately.　This　paper　presents　a　study　that　is　reflective　of　such　an　effort.　A　data　extraction　method　is　developed　to　get　the　travel　origin　and　destination　(OD)　between　traffic　zones　based　on　the　mobile　data　of　100,000　residents　in　Beijing.　Then　Point　of　Interests　(POIs)　data　in　typical　traffic　zones　was　analyzed　combined　with　construction　area　investigation.　Based　on　the　analysis　of　travel　OD　and　POI　data,　the　average　travel　intensity　of　each　land　use　pattern　is　quantified.　Research　results　could　provide　a　quantitative　basis　for　the　optimization　of　urban　transportation　planning.