Analyze the usage of urban greenways through social media images and computer vision

Analyze the usage of urban greenways through social media images and computer vision
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DOI:
10.1177/23998083211064624
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发表时间:
2022-01
期刊:
Environment and Planning B: Urban Analytics and City Science
影响因子:
--
通讯作者:
Yang Song;H. Ning;Xinyue Ye;Divya Chandana;Shaohua Wang
Yang Song;H. Ning;Xinyue Ye;Divya Chandana;Shaohua Wang
中科院分区:
其他
文献类型:
--
作者:
Yang Song;H. Ning;Xinyue Ye;Divya Chandana;Shaohua Wang

文献摘要

相似文献

城市绿道是一种新兴的城市景观形式,具有公共卫生、经济和生态等多方面的效益。然而,绿道的使用和用户体验通常具有挑战性,因为测量如此大的区域成本高昂。本文基于2017年来自Instagram的在线帖子,利用计算机视觉(CV)技术分析和比较了普通公众如何使用两个典型的绿道公园,纽约市的高线公园和亚特兰大的亚特兰大环城公园。进行面部和对象检测分析以推断用户组成、活动和关键体验。我们呈现了Instagram帖子的时间模式以及从照片中检测到的群体聚会、微笑和代表性对象。我们的结果显示,这两个公园的用户参与度很高,而青少年的参与度明显不足。高架线有更多的团体活动,在工作日比亚特兰大环城线更活跃。更强的逃避感和体育活动可以在亚特兰大Beltline找到。综上所述,像Instagram这样的社交媒体图片在与人工智能技术相结合时,可以为城市绿道的使用提供强有力的经验证据,可以支持景观建筑和城市设计的未来实践。
Urban greenway is an emerging form of urban landscape offering multifaceted benefits to public health, economy, and ecology. However, the usage and user experiences of greenways are often challenging to measure because it is costly to survey such large areas. Based on the online postings from Instagram in 2017, this paper used Computer Vision (CV) technology to analyze and compare how the general public uses two typical greenway parks, The High Line in New York City and the Atlanta Beltline in Atlanta. Face and object detection analysis were conducted to infer user composition, activities, and key experiences. We presented the temporal patterns of Instagram postings as well as the group gatherings, smiling, and representative objects detected from photos. Our results have shown high user engagement levels for both parks while teens are significantly underrepresented. The High Line had more group activities and was more active during weekdays than the Atlanta Beltline. Stronger sense of escape and physical activities can be found in Atlanta Beltline. In summary, social media images like Instagram can provide strong empirical evidence for urban greenway usage when combined with artificial intelligence technologies, which can support the future practice of landscape architecture and urban design.