Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data
文献类型：期刊论文
| 作者 | Xu, Yang1,2; Li, Xinyu2; Shaw, Shih-Lung3; Lu, Feng4,5 ; Yin, Ling6; Chen, Bi Yu7,8
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| 刊名 | ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
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| 出版日期 | 2020-07-24 |
| 页码 | 25 |
| 关键词 | human mobility mobile phone data uncertainty veracity |
| ISSN号 | 2469-4452 |
| DOI | 10.1080/24694452.2020.1773232 |
| 通讯作者 | Xu, Yang(yang.ls.xu@polyu.edu.hk) |
| 英文摘要 | Recent years have witnessed an increasing use of big data in mobility research. Such efforts have led to many insights on the travel behavior and activity patterns of people. Despite these achievements, the data veracity issue and its impact on the processes of knowledge discovery have seldom been discussed. In this research, we investigate the veracity issue of mobile signaling data (MSD) when they are used to characterize human mobility patterns. We first discuss the location uncertainty issues in MSD that would hinder accurate estimations of human mobility patterns, followed by an examination of two existing methods for addressing these issues (clustering-based method and time window-based method). We then propose a new approach that can overcome some of the limitations of these two methods. By applying all three methods to a large-scale mobile signaling data set, we find that the choice of preprocessing methods could lead to changes in the data characteristics. Such changes, which are nontrivial, will further affect the characterization and interpretation of human mobility patterns. By computing four mobility indicators (number of origin-destination trips, number of activity locations, total stay time, and activity entropy) from the outputs of the three methods, we illustrate their varying impacts on individual mobility estimations relevant to location uncertainty issues. Our analysis results call for more attention to the veracity issue in data-driven mobility research and its implications for replicability and reproducibility of geospatial research. |
| WOS关键词 | HUMAN ACTIVITY SPACE ; BIG DATA ; PATTERNS |
| 资助项目 | Research Grant Council of Hong Kong[25610118] ; National Natural Science Foundation of China[41801372] ; National Key Research and Development Program of China[2016YFB0502104] ; Alvin and Sally Beaman Professorship ; Arts and Sciences Excellence Professorship ; James and Catherine Ralston Family Fund at the University of Tennessee, Knoxville |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000553352100001 |
| 出版者 | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
| 资助机构 | Research Grant Council of Hong Kong ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Alvin and Sally Beaman Professorship ; Arts and Sciences Excellence Professorship ; James and Catherine Ralston Family Fund at the University of Tennessee, Knoxville |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/158234]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu, Yang |
| 作者单位 | 1.Hong Kong Polytech Univ, Shenzhen Res Inst, Hong Kong, Peoples R China 2.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hung Hom, Kowloon, Hong Kong, Peoples R China 3.Univ Tennessee, Dept Geog, Knoxville, TN 37996 USA 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Fuzhou Univ, Acad Digital China, Fuzhou, Peoples R China 6.Chinese Acad Sci, ShenZhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China 7.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China 8.Collaborat Innovat Ctr Geospatial Technol, Wuhan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Yang,Li, Xinyu,Shaw, Shih-Lung,et al. Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data[J]. ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS,2020:25. |
| APA | Xu, Yang,Li, Xinyu,Shaw, Shih-Lung,Lu, Feng,Yin, Ling,&Chen, Bi Yu.(2020).Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data.ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS,25. |
| MLA | Xu, Yang,et al."Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data".ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS (2020):25. |
入库方式： OAI收割
来源：地理科学与资源研究所
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