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Understanding temporal pattern of human activities using Temporal Areas of Interest

机译:了解使用颞兴趣的人类活动的时间模式

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Although researchers have realised the importance of time for decades in geography and relevant disciplines, they more or less ignore how our understanding can be greatly enriched through the lens of time. One outcome of this ignorance is that there are a limited number of concepts and methods to analyse the temporal pattern of human activities. In this paper, we try to understand the temporal pattern of activities by simultaneously examining the start and end time of activities, rather than from a conventional view, which usually understands a temporal pattern of activities as a profile of an attribute (e.g. the number of activities) on the time axis. To achieve this, we propose a new concept, Temporal Areas of Interest (TM), defined as the area on a two-dimensional plane using the start and end time as the X and Y axes, where activity points are densely distributed and therefore attracts people's attention/interest. We also propose a general methodological framework for identifying TAIs. The concept and framework are applied using a week's metro smart card data in Shanghai. Results show both the basic rhythm of human activities and reveal some facts that are unexpected or ignored before, such as the large existence of overtime work or similar activities on weekday evenings and weekends. We think that the proposed method provides an alternative way to understand the temporal pattern of activities and a relatively new perspective in evaluating human activity patterns and the urban functions across the city.
机译:虽然研究人员在地理和相关学科中实现了几十年的时间,但它们或多或少地忽略了我们的理解如何通过时间镜头大大富集。这种无知的一个结果是,有限数量的概念和方法来分析人类活动的时间模式。在本文中,我们尝试通过同时检查活动的开始和结束时间来了解活动的时间模式,而不是从传统的视图,这通常理解作为属性的属性的活动模式模式(例如活动)在时间轴上。为实现这一目标,我们提出了一种新的概念,临时感兴趣的临时区域(TM),定义为二维平面上的区域,使用开始和结束时间作为x和y轴,其中活动点密集地分布,因此吸引人们的注意力/兴趣。我们还提出了一种识别TAIS的一般方法论框架。概念和框架使用上海的一周的地铁智能卡数据应用。结果显示人类活动的基本节奏,并揭示了一些意外或忽视的一些事实,例如在工作日晚上和周末的加班工作或类似活动的大量存在。我们认为该拟议的方法提供了理解活动的时间模式和评估全市人类活动模式和城市功能的相对新的视角的替代方法。

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