This study examined the impact of attitudes toward life, recreational sports values, and workplace risk perceptions on urban development and public well-being under the risk of the COVID-19 epidemic in China. A mixed-method research study was conducted, and 2400 valid questionnaires were collected via purposeful sampling. The questionnaires were analyzed using the SPSS 26.0 statistical software and validated with basic statistical methods and Pearson’s correlation analysis. Semi-structured interviews were then conducted to collect the opinions of 12 respondents on the questionnaire results, including academics, foreign entrepreneurs and employees, local entrepreneurs and employees, and official institutions. Finally, all the data collected were discussed via triangulation analysis. The survey found that different cities’ social and industrial development and job market needs lead to different attitudes toward life, leisure values, and perceptions of job-seeking and employment risks. The smoother a person’s growing-up background, the better their learning history, the better their learning and working experience, and the richer their life experience; consequently, positive attitudes toward life, correct leisure values, and positive attitudes toward job hunting and employment can be cultivated. In addition, people with positive attitudes toward life, leisure values, and job hunting and employment can improve their city’s economy and environment for sustainable development, thereby improving their quality of life and increasing their well-being.

The research on the management and distribution of renewable water resources mostly adopts the method of combining the intelligent optimization algorithm and the target planning model. In this paper, four water distribution users are used as categories, and the problem of renewable water resources allocation is transformed into a classification problem, which is included in the category of wireless virtualization processing problems, and wireless virtualization is selected to support the allocation of renewable water resources. Experiments show that the water shortage of the water distribution scheme obtained by the method in this paper is lower than that of the optimal water distribution scheme of the traditional intelligent optimization algorithm. It can also be seen from the water distribution cost and water shortage of a single user that the water distribution effect of the method in this paper is better than that of the traditional intelligent optimization algorithm (P<0.05). It shows that the research on the management and distribution method of renewable water resources based on wireless virtualization not only provides new ideas for dealing with configuration problems but also has important significance for alleviating the shortage of water resources in our country and the management and utilization of renewable water resources.