IGSNRR OpenIR
The geography of human activity and land use: A big data approach
Liu, Wei1,2; Wu, Wenjie3; Thakuriah, Piyushimita4; Wang, Jianghao5
2020-02-01
Source PublicationCITIES
ISSN0264-2751
Volume97Pages:12
Corresponding AuthorWu, Wenjie(wenjiewu@jnu.edu.cn)
AbstractThe application of location-based social media big data in urban contexts offers new and alternative strategies for understanding city liveliness in developing countries where traditional census data are poor. This paper demonstrates how the spatial-temporal distribution of China's Tencent social media usage intensities can be effectively used as a proxy for modelling the geographic patterns of human activity at fine scales. Our results suggest that the spatially-temporally contextualized nature of human activity is dependent upon land use mixing characteristics. With billions of social media data being collected in the virtual world, findings of this study suggest that land use policies to delineating the density, orderly or disorderly geographic patterns of human activity are important for city liveliness.
KeywordBig data Human activity Land use
DOI10.1016/j.cities.2019.102523
WOS KeywordDYNAMIC TRAFFIC ASSIGNMENT ; CITIES ; PATTERNS ; MODEL
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41971194] ; Research Center for the Industrial Development of Guangdong and its Regional Cooperation with Hong Kong, Macau and Taiwan
Funding OrganizationNational Natural Science Foundation of China ; Research Center for the Industrial Development of Guangdong and its Regional Cooperation with Hong Kong, Macau and Taiwan
WOS Research AreaUrban Studies
WOS SubjectUrban Studies
WOS IDWOS:000510082600015
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/132176
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWu, Wenjie
Affiliation1.Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia
2.Univ New South Wales, Res Ctr Integrated Transport Innovat, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia
3.Jinan Univ, Coll Econ, Guangzhou 510632, Peoples R China
4.Rutgers State Univ, Sch Planning & Publ Policy, New Brunswick, NJ 08901 USA
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Liu, Wei,Wu, Wenjie,Thakuriah, Piyushimita,et al. The geography of human activity and land use: A big data approach[J]. CITIES,2020,97:12.
APA Liu, Wei,Wu, Wenjie,Thakuriah, Piyushimita,&Wang, Jianghao.(2020).The geography of human activity and land use: A big data approach.CITIES,97,12.
MLA Liu, Wei,et al."The geography of human activity and land use: A big data approach".CITIES 97(2020):12.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu, Wei]'s Articles
[Wu, Wenjie]'s Articles
[Thakuriah, Piyushimita]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Wei]'s Articles
[Wu, Wenjie]'s Articles
[Thakuriah, Piyushimita]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Wei]'s Articles
[Wu, Wenjie]'s Articles
[Thakuriah, Piyushimita]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.