相关实验视频
Updated: Feb 26, 2026

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Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
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使用用户生成的内容绘制城市音景模式:一个地方模型方法来感知声环境.
1KAIST Urban Design Lab, KAIST Smart City Research Center, Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
PloS one
|February 24, 2026
概括
这项研究使用社交媒体数据分析了首尔的城市声音景观. 与活动相关的声音占主导地位,由城市功能和历史背景确定不同的声区.
科学领域:
- 城市规划和声学生态学
- 人与计算机的互动和社交媒体分析.
- 环境心理学和空间认知
背景情况:
- 城市声学环境影响生活质量,将重点从降噪转移到整体的音景设计.
- 了解人类对城市声音景观的感知对于有效的城市规划和设计至关重要.
- 社交媒体数据提供了一种新的方法来捕捉和分析公众对城市声学环境的看法.
研究的目的:
- 通过分析社交媒体数据来调查城市声音景观的感知.
- 了解音响环境如何反映特定的城市空间特征.
- 为城市规划者开发一个可扩展的工具,以评估公民对城市声音景观的体验.
主要方法:
- 收集了来自首尔156个景点的韩语Twitter数据 (2020年10月至11月).
- 预先处理的文本数据 (清洁,形态分析) 和使用基于坎特的位置模型 (物理环境,活动,意义) 的分类学来分类声音景观.
- 应用K-means集群用于根据空间和功能特征识别不同的城市音景类型.
主要成果:
- 在所有分析领域中,与活动相关的声音景观占多数 (79.4%).
- 室内,机械和行为声景之间的负相关性表明了声区的功能空间分离.
- 与现代商业区 (13.4%) 相比,历史区的含义相关音景比例较高 (22.0%).
- 确定了三个不同的声音景观集群:基础设施主导,社会活跃和商业室内专注的区域.
结论:
- 社交媒体分析与空间模式相结合,为上下文化城市设计提供数据驱动的见解.
- 该研究为城市规划者提供了一种可扩展的方法,以了解公民对城市声音景观的体验.
- 调查结果强调了在城市音景设计中考虑感知维度的重要性,以提高生活质量.
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