Identifying Home-Work Locations from Short-term,Large-scale,andRegularly Sampled Mobile Phone Tracking Data

Objective In urban studies acquistion of individual home-work locations from large-scale mobile phonetracking data is an emerging technology using big data.Long-term irregularly as well as sparsely sam-pled mobile phone call data are widely used in existing studies,but short-term regularly sampled mo-bile phone tracking data are less widely used.This study proposes a home-work location identificationmethod based on short-term,large-scale,and regularly sampled mobile phone tracking data.To theauthors’knowledge,this study is the first effort to identify home-work locations for urban residentsfrom short-term,large-scale,and regularly sampled mobile phone tracking data.The findings of thisstudy evaluate the feasibility of using this new type of large-scale data source for research on urban is-sues such as the job-housing balance,and is of great significance when improving the representative-ness of samples and the reliability of analysis results in home-work locaiton related research effectivelyin terms of low finacial and labor costs.