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Measuring the vibrancy of urban neighborhoods using mobile phone data with an improved PageRank algorithm
Jia, Chen1,2; Du, Yunyan3; Wang, Siying1; Bai, Tianyang1; Fei, Teng1
2019-04-01
Source PublicationTRANSACTIONS IN GIS
ISSN1361-1682
Volume23Issue:2Pages:241-258
Corresponding AuthorFei, Teng(feiteng@whu.edu.cn)
AbstractA neighborhood is a shared space for spatial interaction. The vibrancy of a neighborhood represents a synergy between the people, activities, and values in a place, which increases community vitality and spurs economic opportunity. It can be investigated both qualitatively and quantitatively. However, there are technical challenges involved in accurately charting vibrancy. With the recent advances in communication technology and the prevalence of location-aware devices such as mobile phones, individual trajectories can be collected and analyzed on a large scale. In previous research, the weights of the vibrancies corresponding to different trajectories were not differentiated. In this study, an improved PageRank algorithm using a weighted bipartite graph is proposed to measure the vibrancy of an urban neighborhood from a different perspective, which highlights the differences between vibrancies arising from different types of citizens. This method connects the land much more closely with human activities and provides a new perspective on, and guidance for, urban resource allocation and urban planning.
DOI10.1111/tgis.12515
WOS KeywordLAND-USE ; PATTERNS ; SYSTEMS
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Plan of China[2017YFB0503600]
Funding OrganizationNational Key Research and Development Plan of China
WOS Research AreaGeography
WOS SubjectGeography
WOS IDWOS:000468313900004
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59294
Collection中国科学院地理科学与资源研究所
Corresponding AuthorFei, Teng
Affiliation1.Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Hubei, Peoples R China
2.Peking Univ, Sch Earth & Space Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Jia, Chen,Du, Yunyan,Wang, Siying,et al. Measuring the vibrancy of urban neighborhoods using mobile phone data with an improved PageRank algorithm[J]. TRANSACTIONS IN GIS,2019,23(2):241-258.
APA Jia, Chen,Du, Yunyan,Wang, Siying,Bai, Tianyang,&Fei, Teng.(2019).Measuring the vibrancy of urban neighborhoods using mobile phone data with an improved PageRank algorithm.TRANSACTIONS IN GIS,23(2),241-258.
MLA Jia, Chen,et al."Measuring the vibrancy of urban neighborhoods using mobile phone data with an improved PageRank algorithm".TRANSACTIONS IN GIS 23.2(2019):241-258.
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