In this research a human mobility model construction process is presented from the daily mobility pattern identified by location clustering. An integrated model representing human mobility patterns can be established. Daily positioning data set is composed into human mobility model by location based clustering and thus a daily mobility model is composed. A location cluster stands for a set of considerable number of positioning data in terms of space and time. An integration of daily human mobility model will show overall human mobility model or human mobility model for a given period. The resulting human mobility model can be represented on geographical map so that the model can be identified visually and intuitively. The integrated human mobility model or daily human mobility model can be represented in Continuous Time Markov Chain which can be easily represented by matrixes for further application to other related fields.