Qing Yu , Defan Feng , Ge Li , Qi Chen , Haoran Zhang
{"title":"AdvMOB: Interactive visual analytic system of billboard advertising exposure analysis based on urban digital twin technique","authors":"Qing Yu , Defan Feng , Ge Li , Qi Chen , Haoran Zhang","doi":"10.1016/j.aei.2024.102829","DOIUrl":null,"url":null,"abstract":"<div><div>Digital outdoor billboards have emerged as powerful marketing tools for engaging consumers. However, the industry grapples with challenges, notably in accurately gauging exposure and understanding consumer demographics. Current ad placement models often overlook ad effectiveness and oversimplify advertising influence, resulting in a significant disparity between decision-making and real-world impact. To tackle these hurdles, this study introduces an innovative interactive visual analytic system, AdvMOB, designed to evaluate and scrutinize billboard exposure within urban landscapes and adeptly delineate the genuine reach of each advertisement. It integrates personal information and trajectory data to characterize the authentic impact of individual billboards. Through the fusion of urban architectural insights, and human mobility data, this system comprehensively evaluates, compares, and delves into the depth of billboard exposure in urban settings via an intuitive interface. The proposed AdvMOB system demonstrates substantial potential in revolutionizing the design of billboard advertisements by offering nuanced insights and comprehensive support.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"62 ","pages":"Article 102829"},"PeriodicalIF":8.0000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Engineering Informatics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1474034624004774","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Digital outdoor billboards have emerged as powerful marketing tools for engaging consumers. However, the industry grapples with challenges, notably in accurately gauging exposure and understanding consumer demographics. Current ad placement models often overlook ad effectiveness and oversimplify advertising influence, resulting in a significant disparity between decision-making and real-world impact. To tackle these hurdles, this study introduces an innovative interactive visual analytic system, AdvMOB, designed to evaluate and scrutinize billboard exposure within urban landscapes and adeptly delineate the genuine reach of each advertisement. It integrates personal information and trajectory data to characterize the authentic impact of individual billboards. Through the fusion of urban architectural insights, and human mobility data, this system comprehensively evaluates, compares, and delves into the depth of billboard exposure in urban settings via an intuitive interface. The proposed AdvMOB system demonstrates substantial potential in revolutionizing the design of billboard advertisements by offering nuanced insights and comprehensive support.
期刊介绍:
Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.