Zhang, Ahmad Termida and Susilo treat spatial familiarity as a dynamic field rather than a static mental map. Using four waves of two-week travel diaries and mapped familiar areas collected over seven months from 55 participants in Stockholm, they digitise subjective familiarity into quantifiable spatial data and analyse change through dynamic binary probit and linear regression models. Their central finding is conceptually important: familiar area is strongly conditioned by previous knowledge, yet it is continuously corrected by intervening events and differentiated by land-use characteristics and social group. Familiarity therefore has temporal inertia without being fixed. The methodological operation bridges cognition and mobility by coupling reported mental geography with repeated activity patterns, making it possible to observe how spatial knowledge expands, contracts or reorganises. The wider field implication is that urban exposure accumulates unevenly: places become cognitively available through recurrence, but the resulting familiar city remains selective, socially differentiated and open to revision.