Metagraph-Based Life Pattern Clustering With Big Human Mobility Data

Wenjing Li1; Haoran Zhang2; Jinyu Chen1; Peiran Li1; Yuhao Yao1; Xiaodan Shi1; Mariko Shibasaki1; Hill Hiroki Kobayashi1; Xuan Song3; Ryosuke Shibasaki1

2023-02-01

10.1109/TBDATA.2022.3155752

IEEE Transactions on Big Data   影响因子和分区

2372-2096

Life pattern clustering is essential for abstracting the groups' characteristics of daily life patterns and activity regularity. Based on millions of GPS records, this research proposes a framework on the life pattern clustering which can efficiently identify the groups that have similar life patterns. The proposed method can retain original features of individual life pattern data without aggregation. Metagraph-based data structure is proposed for presenting the diverse life pattern. Spatial-temporal similarity includes significant places semantics, time-sequential properties and frequency are integrated into this data structure, which captures the uncertainty of an individual and the diversities between individuals. Non-negative-factorization-based method is utilized for reducing the dimension. The results show that our proposed method can effectively identify the groups that have similar life pattern in long term and takes advantage in computation efficiency and representational capacity compared with the traditional methods. We reveal the representative life pattern groups and analyze the group characteristics of human life patterns during different periods and different regions. We believe our work helps in future infrastructure planning, services improvement and policy making related to urban and transportation, thus promoting a humanized and sustainable city.

Metagraph life pattern clustering big data human mobility

SCI ; EI

英语

其他

Computer Science

Computer Science, Information Systems ; Computer Science, Theory & Methods

WOS:000920335300017

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

20221011758283

Big data ; Data structures ; Global positioning system ; Urban transportation

Highway Transportation:432 ; Railroad Transportation:433 ; Data Processing and Image Processing:723.2

IEEE

1.Center for Spatial Information Science, The University of Tokyo, Kashiwa-shi, Chiba, Japan
2.LocationMind Inc., Chiyoda-ku, Tokyo, Japan
3.Department of Computer and Engineering, Southern University of Science and Technology-University of Tokyo Joint Research Center for Super Smart Cities, Southern University of Science and Technology, Shenzhen, Guangdong, China

Wenjing Li,Haoran Zhang,Jinyu Chen,et al. Metagraph-Based Life Pattern Clustering With Big Human Mobility Data[J]. IEEE Transactions on Big Data,2023,9(1):227-240.

Wenjing Li.,Haoran Zhang.,Jinyu Chen.,Peiran Li.,Yuhao Yao.,...&Ryosuke Shibasaki.(2023).Metagraph-Based Life Pattern Clustering With Big Human Mobility Data.IEEE Transactions on Big Data,9(1),227-240.

Wenjing Li,et al."Metagraph-Based Life Pattern Clustering With Big Human Mobility Data".IEEE Transactions on Big Data 9.1(2023):227-240.