{"title":"Visual Inequality: Exploring Visual Differences in Street Advertising across Economic Communities","authors":"Qianlong Shi, Jing Zhang, Xinping Zhang, Yan Wei","doi":"10.1007/s12061-025-09716-9","DOIUrl":null,"url":null,"abstract":"<div><p>Street advertisements, as an important component of urban landscapes, implicitly convey the economic conditions and social status of different regions through their visual features. This implicit inequality in information not only depends on the type and content of the advertisements but is also directly influenced by their visual features. However, previous studies have mainly focused on analyzing the differences in the content, type, and quantity of advertisements across communities with varying economic levels, while less attention has been given to the disparities in the visual features of advertisements across such communities. To address this issue, this study uses street view images from sample points in Xi’an and applies computer vision techniques to identify and calculate the salience, area, brightness, contrast, and color difference of advertisements. Finally, statistical methods and correlation analysis, combined with housing price data from the sample points, are used to analyze the relationship between advertisement visual features and community housing prices. The study results indicate that: The results of the Tukey Honestly Significant Difference post-hoc test indicate that the salience and area of advertisements are significantly higher in high-price communities compared to low-price communities (<i>p</i> < 0.01). In contrast, the color difference between advertisements and their background is significantly greater in low-price communities than in high-price communities (<i>p</i> < 0.05). The results of the correlation analysis further support these findings, showing a significant positive correlation between advertisement salience, area, and housing prices (<i>p</i> < 0.01).</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 4","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-025-09716-9","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Street advertisements, as an important component of urban landscapes, implicitly convey the economic conditions and social status of different regions through their visual features. This implicit inequality in information not only depends on the type and content of the advertisements but is also directly influenced by their visual features. However, previous studies have mainly focused on analyzing the differences in the content, type, and quantity of advertisements across communities with varying economic levels, while less attention has been given to the disparities in the visual features of advertisements across such communities. To address this issue, this study uses street view images from sample points in Xi’an and applies computer vision techniques to identify and calculate the salience, area, brightness, contrast, and color difference of advertisements. Finally, statistical methods and correlation analysis, combined with housing price data from the sample points, are used to analyze the relationship between advertisement visual features and community housing prices. The study results indicate that: The results of the Tukey Honestly Significant Difference post-hoc test indicate that the salience and area of advertisements are significantly higher in high-price communities compared to low-price communities (p < 0.01). In contrast, the color difference between advertisements and their background is significantly greater in low-price communities than in high-price communities (p < 0.05). The results of the correlation analysis further support these findings, showing a significant positive correlation between advertisement salience, area, and housing prices (p < 0.01).
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
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