The geography of human activity and land use: A big data approach

doi:10.1016/j.cities.2019.102523

	The geography of human activity and land use: A big data approach
	Liu, Wei 1,2; Wu, Wenjie 3; Thakuriah, Piyushimita 4; Wang, Jianghao 5
刊名	CITIES
	2020-02-01
卷号	97 页码:12
关键词	Big data Human activity Land use
ISSN号	0264-2751
DOI	10.1016/j.cities.2019.102523
通讯作者	Wu, Wenjie(wenjiewu@jnu.edu.cn)
英文摘要	The 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.
资助项目	National Natural Science Foundation of China[41971194] ; Research Center for the Industrial Development of Guangdong and its Regional Cooperation with Hong Kong, Macau and Taiwan
WOS关键词	DYNAMIC TRAFFIC ASSIGNMENT ; CITIES ; PATTERNS ; MODEL
WOS研究方向	Urban Studies
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000510082600015
资助机构	National Natural Science Foundation of China ; Research Center for the Industrial Development of Guangdong and its Regional Cooperation with Hong Kong, Macau and Taiwan
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/132175]
专题	中国科学院地理科学与资源研究所
通讯作者	Wu, Wenjie
作者单位	1.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
推荐引用方式 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.