Modifiable Areal Unit Problem on Grided Mobile Crowd Sensing: Analysis and Restoration

Yao，Yuhao1; Zhang，Haoran2; Defan，Feng3; Chen，Jinyu4; Li，Wenjing5; Shibasaki，Ryosuke6; Song，Xuan7

2022

10.1109/TMC.2022.3147474

IEEE TRANSACTIONS ON MOBILE COMPUTING   影响因子和分区

1536-1233

1558-0660

Aggregating crowd density in grids from big mobile datasets is a basic but critical work in urban computing and mobile computing. The error of position estimation in raw mobile data, including spatial deviation and temporal deviation, is inevitable and directly impacts the accuracy of aggregated crowd density results. In this case, a key modifiable areal unit problem is raised to understand the relationship among the crowd density accuracy, raw mobile data error, grid shape, and size, but few studies focused on it. This paper analyzes this modifiable areal unit problem of the error in crowd density estimation from big mobility data. By regarding the error as the result of a convolution operation, an optimization model based restoration method was proposed to fix the error of the estimated result, and we analyzed the restoration effect under different circumstances by several simulation experiments. A real application for grided population distribution map construction and restoration from Call Detail Record was conducted to prove the reliability of the whole analysis, which demonstrates the restoration method can reduce the error by nearly 40% under certain conditions.

Crowd density Error analysis Estimation Gridded data Modifiable areal unit problem Sensors Shape Sociology Spatial databases Statistics

EI ; SCI

英语

其他

20220611613824

Mobile computing ; Reliability analysis ; Restoration

COMPUTER SCIENCE

2-s2.0-85124185535

Scopus

1.Center for Spatial Information Science, University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: yaoyh@csis.u-tokyo.ac.jp)
2.Center for Spatial Information Science, University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: zhang_ronan@csis.u-tokyo.ac.jp)
3.Computer Science and Engineering Department, Southern University of Science and Technology, 255310 Shenzhen, Guangdong, China, (e-mail: 11930382@mail.sustech.edu.cn)
4.Center for Spatial Information Science, University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: miraclec@csis.u-tokyo.ac.jp)
5.Center for Spatial Information Science, University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: liwenjing@csis.u-tokyo.ac.jp)
6.Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: shiba@csis.u-tokyo.ac.jp)
7.Center for Spatial Information Science, University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, 113-0033 (e-mail: songxuan@csis.u-tokyo.ac.jp)

Yao，Yuhao,Zhang，Haoran,Defan，Feng,et al. Modifiable Areal Unit Problem on Grided Mobile Crowd Sensing: Analysis and Restoration[J]. IEEE TRANSACTIONS ON MOBILE COMPUTING,2022,PP(99):1-1.

Yao，Yuhao.,Zhang，Haoran.,Defan，Feng.,Chen，Jinyu.,Li，Wenjing.,...&Song，Xuan.(2022).Modifiable Areal Unit Problem on Grided Mobile Crowd Sensing: Analysis and Restoration.IEEE TRANSACTIONS ON MOBILE COMPUTING,PP(99),1-1.

Yao，Yuhao,et al."Modifiable Areal Unit Problem on Grided Mobile Crowd Sensing: Analysis and Restoration".IEEE TRANSACTIONS ON MOBILE COMPUTING PP.99(2022):1-1.