People’s daily activities in the urban environment are complex and vary by individual. Existing studies using mobile phone data revealed distinct and recurrent transitional activity patterns, known as mobility motifs, in people’s daily lives. The limitation in using only a few inferred activity types hinders our ability to examine general patterns in detail. We proposed a mobility network approach with geographic context-aware Twitter data to investigate granular daily activity patterns in the urban environment. We first used publicly accessible geolocated tweets to track the movements of individuals in two major U.S. cities, Chicago and Greater Boston, where each recorded location is associated with its closest land use parcel to enrich its geographic context. A direct mobility network represents the daily location history of the selected active users, where the nodes are physical places with semantically labeled activity types and the edges represent the transitions. Analyzing the isomorphic structure of the mobility networks uncovered sixteen types of location-based motifs, which describe over 83 percent of the networks in both cities and are comparable to those from previous studies. With detailed and semantically labeled transitions between every two activities, we further dissected the general location-based motifs into activity-based motifs, where sixteen common activity-based motifs describe more than 57 percent of transitional behaviors in the daily activities in the two cities. The integration of geographic context from the synthesis of geolocated Twitter data with land use parcels enables us to reveal unique activity motifs that form the fundamental elements embedded in complex urban activities.

人们在城市环境中的日常活动是复杂的，因人而异。使用移动电话数据的现有研究揭示了人们日常生活中独特且反复出现的过渡活动模式，称为移动主题。仅使用少数推断活动类型的限制阻碍了我们详细检查一般模式的能力。我们提出了一种具有地理上下文感知 Twitter 数据的移动网络方法，以研究城市环境中的精细日常活动模式。我们首先使用可公开访问的地理定位推文来跟踪美国两个主要城市芝加哥和大波士顿的个人活动，其中每个记录的位置都与其最近的土地使用地块相关联，以丰富其地理背景。直接移动网络表示所选活跃用户的每日位置历史，其中节点是具有语义标记的活动类型的物理位置，边表示转换。分析移动网络的同构结构发现了 16 种基于位置的主题，它们描述了两个城市超过 83% 的网络，并且与之前的研究具有可比性。通过每两个活动之间详细和语义标记的转换，我们进一步将一般的基于位置的主题分解为基于活动的主题，其中 16 个常见的基于活动的主题描述了两个城市日常活动中超过 57% 的过渡行为。