This paper investigates the daily rhythm of urban space usage in Beijing, China, examining how urban function distribution and combinations affect this rhythm. Using mobile signaling data and a k-means algorithm, the study identified seven distinct urban space usage zones: high equilibrium, low equilibrium, diurnal, nocturnal, morning, evening, and noon-type. Multinomial logistic (MNL) models revealed the influence of urban functions (working, residing, catering, healthcare, entertainment, education, shopping, touring) and their interactions on these daily usage patterns. The findings offer valuable insights for enhancing urban planning, transportation management, and other urban decision-making processes at a fine-grained scale.

Fangye Du, Jiaoe Wang, Liang Mao, Jian Kang