Pattern clustering is an effective method for exploring the regularities of human mobility scheduling and daily activities. There still remains the challenge of measuring the similarity between pairs of activity patterns that are in the form of categorical time series sequences. Existing studies measured similarity using binary vector or edit distance, but these methods were insufficient to characterize routine arrangement and time scheduling of daily activities. To address this issue, we cluster daily activities and identify regular patterns using a Markov-chain-based mixture model, which captures features of activity scheduling by Markov transition matrix as well as measures similarity with probability distribution. Logistic regression models are further built to test hypothetical relationships between activity patterns and socio-demographic characteristics. Results show there are three main human activity patterns in terms of daily routine arrangement and activity scheduling: working-education-oriented (WE-oriented), recreation-shopping-oriented (RS-oriented), and schooling-drop-off/pick-up-oriented (SDP-oriented). People in the WE-oriented pattern mainly engage with regular home-based commuting trips, while people in the RS-oriented pattern are involved in home-based shopping and entertainment events. With regard to the SDP-oriented pattern, people plan their trips under a restricted scheduling of schooling pickup/drop-off. Each pattern clearly indicates long-term regularity of daily activity behaviors and corresponds to specific socio-demographics. Distinguishing three categories of residents with distinct life styles, this research would help accommodate travel demand from different groups of people in urban transportation planning.

模式聚类是探索人员流动计划和日常活动规律性的有效方法。仍然存在测量以分类时间序列序列形式存在的活动模式对之间的相似性的挑战。现有研究使用二进制矢量或编辑距离来测量相似性，但是这些方法不足以描述日常活动的日常安排和时间表。为了解决这个问题，我们使用基于马尔可夫链的混合模型对日常活动进行聚类并确定规律性模式，该模型通过马尔可夫转移矩阵捕获活动调度的特征，并通过概率分布来衡量相似性。进一步建立逻辑回归模型以测试活动模式与社会人口特征之间的假设关系。结果显示，在日常的日常安排和活动安排方面，主要有三种人类活动模式：面向工作教育（面向WE），面向休闲购物（面向RS）以及上学/下车/接送。面向上（面向SDP）。面向WE模式的人们主要参与定期的家庭通勤旅行，而面向RS模式的人们则参与基于家庭的购物和娱乐活动。关于面向SDP的模式，人们在有限的上学/下车时间表中计划行程。每个模式都清楚地表明了日常活动行为的长期规律性，并与特定的社会人口统计学相对应。