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Site Selection of Digital Signage in Beijing: A Combination of Machine Learning and an Empirical Approach

文献类型：期刊论文

作者Wang, Yuxue1; Li, Su1; Zhang, Xun1,2; Jiang, Dong2; Hao, Mengmeng2; Zhou, Rui3
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2020-04-01
卷号9期号:4页码:20
关键词digital signage site selection multisource information multiscale analysis
DOI10.3390/ijgi9040217
通讯作者Zhang, Xun(zhangxun@btbu.edu.cn) ; Hao, Mengmeng(haomm.l6b@igsnrr.ac.cn)
英文摘要With the extensive use of digital signage, precise site selection is an urgent issue for digital signage enterprises and management agencies. This research aims to provide an accurate digital signage site-selection model that integrates the spatial characteristics of geographical location and multisource factor data and combines empirical location models with machine learning methods to recommend locations for digital signage. The outdoor commercial digital signage within the Sixth Ring Road area in Beijing was selected as an example and was combined with population census, average house prices, social network check-in data, the centrality of traffic networks, and point of interest (POI) facilities data as research data. The data were divided into 100-1000 m grids for digital signage site-selection modelling. The empirical approach of the improved Huff model was used to calculate the spatial accessibility of digital signage, and machine learning approaches such as back propagation neural network (BP neural networks) were used to calculate the potential location of digital signage. The site of digital signage to be deployed was obtained by overlay analysis. The result shows that the proposed method has a higher true positive rate and a lower false positive rate than the other three site selection models, which indicates that this method has higher accuracy for site selection. The site results show that areas suitable for digital signage are mainly distributed in Sanlitun, Wangfujing, Financial Street, Beijing West Railway Station, and along the main road network within the Sixth Ring Road. The research provides a reference for integrating geographical features and content data into the site-selection algorithm. It can effectively improve the accuracy and scientific nature of digital signage layouts and the efficiency of digital signage to a certain extent.
WOS关键词AREAL UNIT PROBLEM ; AUDIENCE MEASUREMENT ; DECISION TREE ; RETAIL ; MODELS
资助项目Strategic Priority Research Program of the Chinese Academy of Science[XDA23000000] ; China Postdoctoral Science Foundation[2017M620885] ; Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan[CITTCD201904037] ; R&D Program of Beijing Municipal Education Commission[KM202010011011] ; National Natural Science Foundation of China[61802010]
WOS研究方向Physical Geography ; Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:000539535700032
资助机构Strategic Priority Research Program of the Chinese Academy of Science ; China Postdoctoral Science Foundation ; Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan ; R&D Program of Beijing Municipal Education Commission ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/162192]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Xun; Hao, Mengmeng
作者单位1.Beijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Sch Comp & Informat Engn, Beijing 100048, Peoples R China
2.Chinese Acad Sci, Key Lab Resources Utilizat & Environm Remediat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100036, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Yuxue,Li, Su,Zhang, Xun,et al. Site Selection of Digital Signage in Beijing: A Combination of Machine Learning and an Empirical Approach[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(4):20.
APA Wang, Yuxue,Li, Su,Zhang, Xun,Jiang, Dong,Hao, Mengmeng,&Zhou, Rui.(2020).Site Selection of Digital Signage in Beijing: A Combination of Machine Learning and an Empirical Approach.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(4),20.
MLA Wang, Yuxue,et al."Site Selection of Digital Signage in Beijing: A Combination of Machine Learning and an Empirical Approach".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.4(2020):20.

入库方式： OAI收割

来源：地理科学与资源研究所

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