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Spatial-Temporal Analysis of Human Dynamics on Urban Land Use Patterns Using Social Media Data by Gender
Lei, Chengcheng1,2; Zhang, An1; Qi, Qingwen1; Su, Huimin3; Wang, Jianghao1
2018-09-01
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN2220-9964
Volume7Issue:9Pages:16
Corresponding AuthorZhang, An(zhangan@igsnrr.ac.cn)
AbstractThe relationship between urban human dynamics and land use types has always been an important issue in the study of urban problems in China. This paper used location data from Sina Location Microblog (commonly known as Weibo) users to study the human dynamics of the spatial-temporal characteristics of gender differences in Beijing's Olympic Village in June 2014. We applied mathematical statistics and Local Moran's I to analyze the spatial-temporal distribution of Sina Microblog users in 100 m x 100 m grids and land use patterns. The female users outnumbered male users, and the sex ratio (SR varied under different land use types at different times. Female users outnumbered male users regarding residential land and public green land, but male users outnumbered female users regarding workplace, especially on weekends, as the SR on weekends (SR was 120.5) was greater than that on weekdays (SR was 118.8). After a Local Moran's I analysis, we found that High-High grids are primarily distributed across education and scientific research land and residential land; these grids and their surrounding grids have more female users than male users. Low-Low grids are mainly distributed across sports centers and workplaces on weekdays; these grids and their surrounding grids have fewer female users than male users. The average number of users on Saturday was the highest value and, on weekends, the number of female and male users both increased in commercial land, but male users were more active than female users (SR was 110).
Keywordhuman dynamics land use types spatial-temporal analysis social media data gender difference
DOI10.3390/ijgi7090358
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of the Chinese Academy of Sciences[XDA19040402] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41471414] ; National Natural Science Foundation of China[41201412] ; National Key Research and Development Program of China[2017YFB0503500] ; Featured Institute Construction Services Program[TSYJS03]
Funding OrganizationStrategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Featured Institute Construction Services Program
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000445767900026
PublisherMDPI
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52888
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, An
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Lei, Chengcheng,Zhang, An,Qi, Qingwen,et al. Spatial-Temporal Analysis of Human Dynamics on Urban Land Use Patterns Using Social Media Data by Gender[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2018,7(9):16.
APA Lei, Chengcheng,Zhang, An,Qi, Qingwen,Su, Huimin,&Wang, Jianghao.(2018).Spatial-Temporal Analysis of Human Dynamics on Urban Land Use Patterns Using Social Media Data by Gender.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,7(9),16.
MLA Lei, Chengcheng,et al."Spatial-Temporal Analysis of Human Dynamics on Urban Land Use Patterns Using Social Media Data by Gender".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 7.9(2018):16.
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