Daily routines, activity space, and third places: A big data approach to understand encounters

Urban encounters often involve interactions with people we do not personally know and has been linked to positive mental, emotional, and physical well-being. While previous studies have focused on the associations between urban encounters, social networks, and mobility patterns, this study examines their dynamics through the lens of daily routines, activity spaces, and third places. Drawing on mobile cellular signaling data from Qingdao, China, the research analyzes the activities of more than 600,000 residents over a five-day period, offering unique insights into non-commute behaviors and spatial patterns. The findings indicate that third places—especially retail services and mixed-use residential and industrial areas—function as key venues for fostering social encounters. The built environment emerges as instrumental in facilitating these interactions, with factors such as proximity and amenity diversity playing crucial roles. Residents who occupied larger activity spaces and had greater access to third places experienced more frequent encounters with familiar strangers. These results underscore the value of thoughtful urban design in promoting social cohesion and community well-being. By integrating advanced spatial analysis with the “15-minute neighborhood” concept, this research provides actionable guidance for urban planners seeking to enhance passive social connectivity. The study broadens our understanding of urban social life beyond traditional commute-focused perspectives, highlighting the importance of everyday spaces in fostering meaningful, if subtle, forms of social engagement.