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量化城市社区艺术与房地产价格之间的联系。

Quantifying the link between art and property prices in urban neighbourhoods.

机构信息

Data Science Laboratory, Behavioural Science, Warwick Business School , University of Warwick , Coventry CV4 7AL , UK.

出版信息

R Soc Open Sci. 2016 Apr 27;3(4):160146. doi: 10.1098/rsos.160146. eCollection 2016 Apr.

Abstract

Is there an association between art and changes in the economic conditions of urban neighbourhoods? While the popular media and policymakers commonly believe this to be the case, quantitative evidence remains lacking. Here, we use metadata of geotagged photographs uploaded to the popular image-sharing platform Flickr to quantify the presence of art in London neighbourhoods. We estimate the presence of art in neighbourhoods by determining the proportion of Flickr photographs which have the word 'art' attached. We compare this with the relative gain in residential property prices for each Inner London neighbourhood. We find that neighbourhoods which have a higher proportion of 'art' photographs also have greater relative gains in property prices. Our findings demonstrate how online data can be used to quantify aspects of the visual environment at scale and reveal new connections between the visual environment and crucial socio-economic measurements.

摘要

艺术与城市社区经济状况的变化之间是否存在关联?虽然大众媒体和政策制定者普遍认为存在这种关联,但仍缺乏定量证据。在这里,我们使用地理标记照片的元数据,这些照片上传到了流行的图片共享平台 Flickr 上,以量化伦敦社区的艺术存在。我们通过确定 Flickr 照片中附有“艺术”一词的比例来估计社区中的艺术存在。我们将其与每个伦敦内城区的住宅物业价格的相对涨幅进行比较。我们发现,附有“艺术”照片比例较高的社区,其房价涨幅也更大。我们的研究结果表明,在线数据可用于大规模量化视觉环境的各个方面,并揭示视觉环境与关键社会经济指标之间的新联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a305/4852651/f8fc2812be99/rsos160146-g1.jpg

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