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Ballparking the Urban Placeness: A Case Study of Analyzing Starbucks Posts on Instagram

机译:滚球城市厚面:以Instagram分析星巴克帖子的案例研究

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Placeness or the "sense of a place" plays a vital role in urban design and planning. Research on placeness in the past has been conducted via conventional methods like surveys to reveal essential insights for urban planners and architects. For taking a glimpse into placeness by analyzing common factors across geographies, we choose Instagram posts from Starbucks as a case study, owing to its the-next-door coffee shop psychological construct. We conduct our research by first adopting a flexible ontological framework to organize the concepts governing placeness. Next, we curate a dataset of community generated Instagram posts from Starbucks in three major metropolitan cities of the world: New York, Seoul, and Tokyo. The curated dataset is then automatically enriched with contextual attributes such as activity, visitor demographics, and time via machine learning techniques. We finally analyze and validate the quantitative variations in contextual information with findings from well-accepted cross-cultural case studies. Our results show that placeness mined from Starbucks, a prominent urban third-place, can be reliably utilized to discover surrounding urban placeness.
机译:威胁或“某个地方”在城市设计和规划中起着重要作用。过去的稳健性研究已经通过调查等传统方法进行,以揭示城市规划者和建筑师的必要见解。通过分析地理位置的普通因素来瞥见,我们选择从星巴克的Instagram帖子作为案例研究,因为它是下门咖啡店心理构建。我们首先采用灵活的本体论框架来组织治理良好的概念来进行研究。接下来,我们在世界三个主要的大都市城市的星巴克策划了一个社区生成的Instagram帖子的数据集:纽约,首尔和东京。然后,通过机器学习技术自动使用诸如活动,访客人口统计数据和时间的上下文属性来自动丰富策级数据集。我们终于分析并验证了来自众所周知的跨文化案例研究的调查结果中的上下文信息的定量变化。我们的研究结果表明,从星巴克开采,一个突出的城市第三位,可靠地利用来发现周围的城市良性。

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