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Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China
Fan, Zide1; Pei, Tao1,2,3; Ma, Ting1; Du, Yunyan1; Song, Ci1; Liu, Zhang1; Zhou, Chenghu1
2018-05-01
Source PublicationCOMPUTERS ENVIRONMENT AND URBAN SYSTEMS
ISSN0198-9715
Volume69Pages:114-123
Corresponding AuthorPei, Tao(peit@lreis.ac.cn)
AbstractIn 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.
KeywordCrowd flux estimation Mobile phone location data Trajectory reconstruction Urban dynamics
DOI10.1016/j.compenvurbsys.2018.01.005
WOS KeywordPATTERNS ; CITIES
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China (NSFC)[41525004] ; National Natural Science Foundation of China (NSFC)[41701455] ; National Natural Science Foundation of China (NSFC)[41421001]
Funding OrganizationNational Natural Science Foundation of China (NSFC)
WOS Research AreaComputer Science ; Engineering ; Environmental Sciences & Ecology ; Geography ; Operations Research & Management Science
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Studies ; Geography ; Operations Research & Management Science
WOS IDWOS:000429393200010
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57317
Collection中国科学院地理科学与资源研究所
Corresponding AuthorPei, Tao
Affiliation1.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
Recommended Citation
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.
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