Open AccessResearch on Home and Work Locations Based on Mobile Phone Data
Author(s) -
Xusen Luo,
Yunyao Zhou,
Yifu Yang,
Simon Wu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/5/052013
Subject(s) - mobile phone , work (physics) , phone , computer science , location data , preprocessor , population , geography , transport engineering , telecommunications , database , engineering , artificial intelligence , medicine , mechanical engineering , linguistics , philosophy , environmental health
The home and work location information of residents is of great reference value for applications such as transport planning and urban development, since home and workplace are the most important places in people’s lives. The article introduces a method that uses mobile phone call detail records (CDR), which offers good potential for monitoring of the short-term mobility of populations, combined with city road network data, to identify respondents’ home and work locations. The method we developed contains three sections, which are data preprocessing, data fusion and location detection, and is tested with 6 months’ data collected in Hong Kong, including over 350 thousand residents. In the end, experiment results are compared with population register data and the results got in references, and it turns out that our method performs better with the average accuracy of 80%.