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Chatty maps: constructing sound maps of urban areas from social media data

机译:聊天地图:根据社交媒体数据构建市区的声音地图

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摘要

Urban sound has a huge influence over how we perceive places. Yet, city planning is concerned mainly with noise, simply because annoying sounds come to the attention of city officials in the form of complaints, whereas general urban sounds do not come to the attention as they cannot be easily captured at city scale. To capture both unpleasant and pleasant sounds, we applied a new methodology that relies on tagging information of georeferenced pictures to the cities of London and Barcelona. To begin with, we compiled the first urban sound dictionary and compared it with the one produced by collating insights from the literature: ours was experimentally more valid (if correlated with official noise pollution levels) and offered a wider geographical coverage. From picture tags, we then studied the relationship between soundscapes and emotions. We learned that streets with music sounds were associated with strong emotions of joy or sadness, whereas those with human sounds were associated with joy or surprise. Finally, we studied the relationship between soundscapes and people's perceptions and, in so doing, we were able to map which areas are chaotic, monotonous, calm and exciting. Those insights promise to inform the creation of restorative experiences in our increasingly urbanized world.
机译:城市声音对我们如何感知地点产生巨大影响。然而,城市规划主要与噪声有关,仅仅是因为令人讨厌的声音以投诉的形式引起了城市官员的注意,而一般的城市声音却没有引起注意,因为它们很难在城市范围内捕获。为了捕获令人不愉快的声音,我们应用了一种新方法,该方法依赖于将地理参考图片的信息标记到伦敦和巴塞罗那市。首先,我们编写了第一本城市声音词典,并将其与整理文献中的见解所产生的词典相比较:我们的实验词典更有效(如果与官方噪音污染水平相关),并且提供了更广泛的地理覆盖范围。然后从图片标签中研究音景与情感之间的关系。我们了解到,带有音乐声音的街道与强烈的欢乐或悲伤情绪相关联,而带有人类声音的街道则与欢乐或惊喜相关联。最后,我们研究了声景与人们的感知之间的关系,并以此来绘制哪些区域是混乱,单调,平静和令人兴奋的。这些见解有望为我们日益城市化的世界中恢复性体验的创造提供信息。

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