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Perceiving Beijing & x2019;s & x201C;City Image & x201D; Across Different Groups Based on Geotagged Social Media Data

文献类型：期刊论文

作者Peng, Xia1,2; Bao, Yi3,4,5; Huang, Zhou3,4,5
刊名IEEE ACCESS
出版日期2020
卷号8页码:93868-93881
关键词Urban areas Social network services Cultural differences Big Data Radio spectrum management Text analysis City image geotagged data hotspots social media text analysis
ISSN号2169-3536
DOI10.1109/ACCESS.2020.2995066
通讯作者Huang, Zhou(huangzhou@pku.edu.cn)
英文摘要City image in general refers to the perception, the feeling, and the opinion of a city, which contributes great importance to urban management, urban planning, urban cultural perceptions, and tourism resource development. Traditionally, city image is often inferred by the & x2018;five-element & x2019; model of physical factors while lacking the consideration of subjective perception. With the rising penetration of smart mobile devices and social media, massive data of location-related texts has been generated for a variety of urban areas. The accessibility to the big data leads to a new approach of understanding the subjective perception of city image, which is important since the new approach takes the subjective heterogeneity into account. Based on the Beijing & x2019;s Weibo (microblog) data in the year of 2016, we use a random forest model to categorize user backgrounds into locals and non-locals. Meanwhile, spatial clustering is applied to identify hotspots. Then two text analysis methods & x2013;term frequency-inverse document frequency (TF-IDF) and latent Dirichlet allocation (LDA)& x2013;are adopted to abstract topics regarding the different geographical hotspots in the city across the different groups of individuals. Our research shows text mining on geotagged big data for city image makes it possible to accommodate the heterogeneity of the activities of different groups of people and to understand their preferences for different points of interests in the city, and thereby reveals the socio-cultural and functional features for the city.
WOS关键词CITY ; IMAGE
资助项目National Key Research and Development Program of China[2017YFB0503605] ; National Key Research and Development Program of China[2017YFE0196100] ; National Natural Science Foundation of China[41771425] ; Beijing Philosophy and Social Science Foundation[17JDGLB002]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000541123400004
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Philosophy and Social Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/162354]  
专题中国科学院地理科学与资源研究所
通讯作者Huang, Zhou
作者单位1.Beijing Union Univ, Tourism Coll, Collaborat Innovat Ctr Tourism, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China
4.Peking Univ, Beijing Key Lab Spatial Informat Integrat & Its A, Beijing 100871, Peoples R China
5.Peking Univ, Minist Educ, Engn Res Ctr Earth Observat & Nav, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714		 Peng, Xia,Bao, Yi,Huang, Zhou. Perceiving Beijing & x2019;s & x201C;City Image & x201D; Across Different Groups Based on Geotagged Social Media Data[J]. IEEE ACCESS,2020,8:93868-93881.
APA Peng, Xia,Bao, Yi,&Huang, Zhou.(2020).Perceiving Beijing & x2019;s & x201C;City Image & x201D; Across Different Groups Based on Geotagged Social Media Data.IEEE ACCESS,8,93868-93881.
MLA Peng, Xia,et al."Perceiving Beijing & x2019;s & x201C;City Image & x201D; Across Different Groups Based on Geotagged Social Media Data".IEEE ACCESS 8(2020):93868-93881.

入库方式： OAI收割

来源：地理科学与资源研究所

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