Against the backdrop of increasing mobility in human society, the approach of geographies of mobility have profoundly influenced various branches of the geography discipline. In this article, we review how geographies of mobility have developed traditional space-time behaviour studies. First, by shifting from a place-based to a people-based perspective, geographies of mobility seek to understand the interaction between indivisible individuals and continuous space-time, thereby addressing the uncertain geographic context problem and neighbourhood effect averaging problem. Second, new methods have been developed for capturing individuals' complex mobilities and dynamic environmental exposures. These range from estimation based on geographical data to real-time measures based on mobile devices as well as subjective measures of environmental exposure and people's perception of geographical contexts. Third, empirically, the geographies of mobility have made methodological contributions to three space-time behaviour research agendas, namely, health geography, social segregation, and urban safety. In short, rising mobility in contemporary urban China poses challenges to traditional methodologies in space-time behaviour studies while also providing opportunities for methodological innovation in this research field. The school of Chinese behavioral geography should keep pace with research on mobility and should keep the geographies of mobility in mind when advancing methodologies and empirical studies.

The COVID-19 patients have exceeded 6% of the world's population. How the COVID-19 infection experience affects the daily life of discharged patients has become a great concern in China and around the world. Focusing on the COVID-19 outbreak period in Wuhan, this study investigated the spatio-temporal behaviors of daily life of COVID-19 patients before infection and after discharge by means of paper questionnaires and telephone interviews. It was found that 6 months after discharge, the daily life of patients was characterized by longer sleep time throughout the day, mingled activities in daytime and more active leisure in evening leisure time. The main spatio-temporal behaviors of patients before and after the infection changed from going out for work to going out for work, from going out for work to mixed leisure, personal affairs and housework at home, and from leisure at home to mixed leisure, personal affairs and housework at home. Based on time geography theory, it was concluded that the changes of patients' spatio-temporal behaviors after discharge were caused by the capability constraints related to patients' physical and economic conditions, the coupling constraints of their life styles and required resources, and the authority constraints from policy regulations and public opinions. Further exploration of pathogenesis, good rehabilitation plan, and improvement of social recognition are essential to the physical and mental recovery of patients. These findings can provide scientific evidence for life quality evaluation of patients under major public health emergencies and public health policy formulation, and provide reference for enriching behavioral geography in spatio-temporal behavior research for special events, special groups and special periods.

The alleviating effect of urban green space on anxiety has attracted the attention of scholars from multiple disciplines such as urban geography, urban planning and landscape ecology. However, whether plant color, as an important feature of green space, plays a key role in alleviating anxiety has not been examined thus far due to the limitation of the accuracy of data collection technology. Accordingly, this research attempts to innovatively construct a system to describe the colors of plant so as to explore the relationship between plant color and residents' anxiety under different geographical backgrounds. Through the combination of public citizen science and artificial intelligence, we constructed a high-precision urban forestry database and subsequently evaluated plant color in two levels from the perspective of visual perception, and compared the difference of plant colors in residential areas and workplaces. Ordinal logistic regression models were established to explore the relationship between plant color and anxiety. Research shows that plant color diversity can effectively relieve anxiety, but it was influenced by modifiable areal unit problem (MAUP) and uncertain geographic context problem (UGCoP). Specifically, improving the base color level of the living environment and increasing the diversity of plant colors in the workplace can help alleviate anxiety, and the correlation between plant color and anxiety is mainly observed in small-scale buffer zones. The above results confirm the correlation between plant color and anxiety, and can provide specific optimization suggestions for urban green space design.