How urban–rural differences and ageing affect residents’ occupancy patterns – An empirical study based on China national time use survey

Abstract

Occupancy behavior plays a crucial role in residential community planning, building design, and energy system optimization for sustainable development, particularly in the face of climate change. Research on residential occupancy behavior often lacks comprehensive empirical data and fails to account for the diversity of influencing factors such as demographic features and urban–rural distinctions. This study utilizes a national time-use survey to examine occupancy patterns in urban and rural households, aiming to identify key factors influencing these patterns. A K-shaped cluster analysis was applied to extract typical occupancy patterns for weekdays and weekends, with a subsequent comparison between urban and rural data. The study also analyzed the impact of demographic and social factors on total hours spent at home. The results indicate that urban residents tend to concentrate their occupancy on weekdays, while weekends show more dispersed patterns. Furthermore, time spent at home by urban residents is positively correlated with the age of family members and negatively correlated with working status and education level. Given the aging demographic, older urban families are likely to spend more time at home on weekdays. These findings contribute to a better understanding of residential occupancy behavior in China.