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.

Regional industrial evolution path dependence and path creation are the key to investigate regional economic resilience from the perspective of evolutionary economic geography. Exploring the impact of industrial evolutionary path dependence and path creation on regional economic resilience based on regional new industries from an empirical perspective can improve the understanding of industrial evolutionary path and regional economic resilience. Taking the coastal areas of China as an example, we measure and analyze its spatio-temporal distribution characteristics based on a panel data from 2002 to 2017. This paper explores the main affecting factors of regional economic resilience in China's coastal areas by using one-step system GMM. Results show that: (1) The gaps in regional economic resilience in China's coastal areas has narrowed in the early financial crisis, but then presented obvious differentiation. Shanghai and Guangdong showed a U-shaped distribution; Fujian, Guangxi and Hainan continued to improve and maintain a high level; Jiangsu and Zhejiang saw two declines and then recovered quickly during the financial crisis and the early stage of the new normal; the Bohai Rim is mostly negative. (2) The path dependency in China's coastal areas is generally higher than path creativity. The overall industrial evolution path dependency and path creativity showed a fluctuating trend of decline and rise respectively, and path creation gradually became the main direction of industrial evolution. (3) The number of new industries in each region decreased significantly under the impact of the financial crisis. The advantages of new industries in steel and its products declined rapidly, and then concentrated in chemical industry, machinery manufacturing and other industries. (4) Dialectically looking at different evolutionary paths is of great significance to regional resilience. Both path dependence and path creation of industrial evolution have a positive influence on regional economic resilience, and the influence of path creation is more prominent. In addition, economic development level, per fixed assets investment and ratio of fixed asset investment to GDP affect economic resilience at the same time.

The integration of culture and tourism is conductive to the realization of the urban-rural integration and rural revitalization. Taking 16 typical traditional villages in Beijing as cases, this study proposes the evaluation system and influencing factor model of the integration of culture and tourism of traditional villages. Based on the TOPSIS model supported by entropy method, it analyzes the level of the integration of culture and tourism of traditional villages. Moreover, we discuss the main influencing factors and their paths of the integration of culture and tourism of traditional villages by using fuzzy-set qualitative comparative analysis (fs/QCA). The results can be concluded as follows: (1) The integration of culture and tourism of traditional villages is a dynamic process that continues to promote the comprehensive revitalization by deepening resource integration, advancing product cultivation and strengthening industry functions. (2) There are obvious differences in the development level of the integration of culture and tourism of case villages. Specifically, the level of each village in the four dimensions presents the characteristic of differentiation and imbalance. (3) None of single factors can constitute the necessary and sufficient conditions of the integration development of culture and tourism. (4) There are three influencing paths of the integration of culture and tourism of traditional villages, namely, mature development path, rapid development path and progressive development path, which correspond to their respective combinations of influencing factors. This study could provide theoretical inspiration and scientific guidance for the urban-rural integration and rural revitalization of traditional villages from the perspective of the integration of culture and tourism.

Water and soil resources are indispensable for the development of agricultural production. However, the uneven spatial and temporal distribution of water resources and the mismatch of arable land distribution have emerged as critical issues affecting the sustainable development of agriculture in China. Based on the existing arable land, this study focuses on the synergy between grain production security and sustainable water resource utilization, with the objective of securing grain production while reducing water consumption and regional water stress, and uses the CPLEX optimization model to optimize the pattern of major crops (soybean, rice, maize, and wheat) in China based on data such as pixel-scale crop yield, water consumption, and regional water stress. Furthermore, this study analyzes the water resource effects of crops in terms of their water use efficiency and water resource stress. The results indicate that: (1) Under the premise of guaranteeing the crop yield remains unchanged, the pattern optimization of crops by province can reduce the total water consumption by up to 3.63×10¹⁰ m³ (a decrease of 9.60%), the average baseline water stress falls from 1.42 to 0.90, and the sown area can be reduced by 3.08×10⁶ hm² (a decrease of 3.29%). (2) Distinct crops have a different optimization direction. Soybeans should be reduced in the northern part of the Northeast Region and the southern part of the Huang-Huai-Hai Region, the pattern adjustment of rice should be made mainly in the Middle and Lower Yangtze River Region and the central part of the South China Region, the maize should be moved to the northeast as a whole and adjusted mainly within the Northeast Region and the Huang-Huai-Hai Region, while the wheat should be adjusted mainly in the Huang-Huai-Hai Region and the northern part of the Middle and Lower Yangtze River Region. (3) Under crop collaborative optimization, the irrigation water consumption of wheat can be decreased by 3.08%, while the reductions of the remaining three crops range from 20% to 30%, with the largest reduction for rice (8.52×10⁹ m³). (4) The impact of crop pattern optimization on regional water resources varies among provinces. More specifically, crop pattern optimization in Heilongjiang, Xinjiang, Inner Mongolia and Anhui contributed the most to the reduction in irrigation water consumption, while Sichuan, Gansu and Shandong mainly manifested a shift of crops to areas with less water resource stress, but with a slight increase in total irrigation water consumption. This study can provide decision-making suggestions and technical support for the sustainable use of water and land resources in agricultural production.