The purpose of this study is to explore, after the epidemic, the intelligent traffic management system, which is the key to creating a green leisure tourism environment in the move towards sustainable urban development. First, quantitative research, snowballing, and convenience sampling methods are used to analyze 750 questionnaires with a basic statistical test, t-test, ANOVA test, and the Pearson product–moment correlation coefficient (PPMCC) method. Qualitative research and a semi-structured interview method are used to collect the opinions of six experts on the data results. Finally, the results are discussed with the multivariate inspection method. Although the current electric bicycle system is convenient, the study found that the service quality of the airport is sufficient; that the fare of the subway is low and popular with students if the system can ease the crowd during peak hours; and that the login and security check time can be shortened, which can help improve the operating convenience of the system interface and link the information of leisure and tourism activities. On the other hand, adjusting fares, increasing seats, planning for women-only ticketing measures and travel space, providing disinfection or cleaning facilities in public areas, and improving passenger’s public health literacy and epidemic prevention cooperation will further enhance the student travel experience, improve the smart city and green tourism network, and help achieve sustainable urban tourism.

This study analyzed the effects of low-carbon tourism awareness, attitudes, and behaviors on the development of villages in the catchment area of Erhai Lake in China. We quantitatively analyzed data from 828 valid questionnaires in IBM SPSS 26.0 using Pearson correlation analysis. Thereafter, we interviewed nine respondents, including scholars, seniors, tour guides, and local businessmen, about the results. Finally, we summarized the data and subjected them to multivariate analysis. The results revealed that low-carbon tourism education and promotion increased public recognition of the need to protect the environment by using low-pollution transportation, staying close to home, and buying minimally packaged goods to create a safe leisure environment. However, many tourists are not willing to accept having to increase their budgets for accommodations, food, and living to engage in low-carbon tourism. Therefore, we suggest that increasing incentives to encourage the public to engage in low-carbon tourism and other consumption behaviors may help reduce the damage to the ecological environments of catchment areas, improve the village’s economic development, and promote the sustainable development of the catchment area.

The purpose of this study is to analyze whether the green space generated by river water engineering can promote urban development and the well-being of the elderly in high-risk environments. Firstly, quantitative research methods were used to analyze 750 valid questionnaires, and IBM SPSS Statistics 26.0 statistical software was used for data inspection. We continued to adopt the qualitative research method and collect the opinions of nine respondents according to the results of the questionnaire analysis. The data were then integrated, categorized, summarized, compared, and finally examined by multivariate analysis. The river green land has rich ecological and natural landscape resources and spacious leisure space, creating a comfortable leisure and living environment. This can increase job opportunities, promote community and economic development, and create safe leisure conditions. It can also improve people’s willingness for leisure, increase opportunities for interpersonal communication, and improve the quality of life and happiness of the elderly. If we should strengthen the soil structure of the river, pay attention to ecological conservation, and reduce exhaust gas and noise pollution to provide a more complete leisure space and enhance the contribution of river green space to rural areas and lives of the local elderly.