Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data

doi:10.1080/24694452.2020.1773232

	Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data
	Xu, Yang 4,5; Li, Xinyu 4; Shaw, Shih-Lung 6; Lu, Feng 7,8; Yin, Ling 1; Chen, Bi Yu 2,3
刊名	ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
	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.
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关键词	HUMAN ACTIVITY SPACE ; BIG DATA ; PATTERNS
WOS研究方向	Geography
语种	英语
出版者	ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
WOS记录号	WOS:000553352100001
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
内容类型	期刊论文
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.Chinese Acad Sci, ShenZhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China 2.Collaborat Innovat Ctr Geospatial Technol, Wuhan, Peoples R China 3.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China 4.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hung Hom, Kowloon, Hong Kong, Peoples R China 5.Hong Kong Polytech Univ, Shenzhen Res Inst, Hong Kong, Peoples R China 6.Univ Tennessee, Dept Geog, Knoxville, TN 37996 USA 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 8.Fuzhou Univ, Acad Digital China, Fuzhou, 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.