Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China

doi:10.1016/j.compenvurbsys.2018.01.005

	Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China
	Fan, Zide 1; Pei, Tao 1,2,3; Ma, Ting 1; Du, Yunyan 1; Song, Ci 1; Liu, Zhang 1; Zhou, Chenghu 1
刊名	COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
	2018-05-01
卷号	69 页码:114-123
关键词	Crowd flux estimation Mobile phone location data Trajectory reconstruction Urban dynamics
ISSN号	0198-9715
DOI	10.1016/j.compenvurbsys.2018.01.005
通讯作者	Pei, Tao(peit@lreis.ac.cn)
英文摘要	In previous urban planning research, the fine-grained population was considered a crucial factor. However, this population, which is generated from census data, represents only the number of people who live in a region. This static figure cannot indicate the underlying number of people and their temporal variation. Therefore, any decision-making based on the static population may be separated from reality. To overcome this difficulty, in this paper, the urban crowd flux is initially proposed and defined as the number of individuals flowing into or out of a region per unit time interval. Then, the urban crowd flux is estimated using an approach of human trajectory gridding reconstruction based on mobile phone location data. This approach is divided into three steps. First, the trajectory of each individual is extracted from sparse sampling of mobile phone location data after data cleansing. Then, combining with a road network, the trajectory of each individual is reconstructed by network interpolation based on the shortest path algorithm in regular grids. Third, we use the velocities of each user's trajectory record to estimate the urban crowd flux on spatio-temporal grids at each time slice. Finally, urban crowd flux in Beijing, China were estimated using our method and the spatio-temporal characteristics of flux is analyzed.
资助项目	National Natural Science Foundation of China (NSFC)[41525004] ; National Natural Science Foundation of China (NSFC)[41701455] ; National Natural Science Foundation of China (NSFC)[41421001]
WOS关键词	PATTERNS ; CITIES
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology ; Geography ; Operations Research & Management Science
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000429393200010
资助机构	National Natural Science Foundation of China (NSFC)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/57316]
专题	中国科学院地理科学与资源研究所
通讯作者	Pei, Tao
作者单位	1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Fan, Zide,Pei, Tao,Ma, Ting,et al. Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China[J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,2018,69:114-123.
APA	Fan, Zide.,Pei, Tao.,Ma, Ting.,Du, Yunyan.,Song, Ci.,...&Zhou, Chenghu.(2018).Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China.COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,69,114-123.
MLA	Fan, Zide,et al."Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China".COMPUTERS ENVIRONMENT AND URBAN SYSTEMS 69(2018):114-123.