上海视觉

上海视觉 ›› 2024, Vol. 0 ›› Issue (3): 146-154.

• 新锐观点 • 上一篇    下一篇

基于量化统计分析的城市视觉污染感知与户外广告特征的关联性研究

张钰源, 李炅   

  1. 西南大学,重庆 400715
  • 出版日期:2024-10-20 发布日期:2024-12-27
  • 作者简介:张钰源(2000—),女,西南大学硕士在读,研究方向为美术学艺术设计应用与理论研究。
    李炅(1970—),男,东南大学博士,西南大学副教授,研究方向为设计艺术、民俗艺术、摄影艺术。

Research on the Correlation Between Urban Visual Pollution Perception and Outdoor Advertising Characteristics Based on Quantitative Statistical Analysis

ZHANG Yuyuan, LI Jiong   

  • Online:2024-10-20 Published:2024-12-27

摘要:

视觉污染研究是指对人周围自然和人造景观的明显恶化和负面的审美质量,以及人为干预的次生影响研究。户外广告(OA)在视觉污染中占有主要地位,其负面效应对人们的心理和情绪有显著影响。本文首先分析户外广告的特征(大小、位置、数量)及其视觉质量(色彩、记忆率),然后探讨其对城市视觉环境的综合影响,结合发放用户问卷调查,了解调查对象对户外广告产生视觉污染的看法,然后用统计分析方法分析户外广告的特征对户外广告(OA)的数量和视觉质量在生成和加剧视觉污染方面的作用,并同时指出了其他因素的影响相对较小。这一发现凸显了在城市规划和设计中对户外广告实施有效管理的紧迫性,目的在于减少视觉污染,提升城市整体的视觉质量。

关键词: 城市视觉污染, 户外广告, 城市规划和设计, 数据分析

Abstract:

Research on visual pollution concerns the apparent deterioration and negative aesthetic quality of the natural and man-made landscapes around people, as well as the secondary impacts resulting from human intervention. Outdoor advertising (OA) occupies a major position in visual pollution, and its negative effects have a significant impact on people's psychology and emotions. This article first analyzes the characteristics of outdoor advertising (size, location, quantity) and its visual quality (color, memorability), and then discusses its comprehensive impact on the urban visual environment. Combined with a user questionnaire survey, it understands respondents' perceptions of the visual pollution caused by outdoor advertising. Statistical analysis methods are then used to analyze the role in the quantity and visual quality of outdoor advertising (OA) in generating and exacerbating visual pollution, while pointing out the relatively small impact of other factors. This finding highlights the urgency of implementing effective management of outdoor advertising in urban planning and design, with the aim of reducing visual pollution and improving the overall urban visual quality.

Key words: urban visual pollution, outdoor advertisement, urban planning and design, data analysis