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.

Using Meizhou City as an example, the aim of this study was to verify whether e-bike sharing systems can improve the convenience of engaging in leisure and tourism activities in cities, and thus increase residents’ well-being. First, quantitative research was carried out to collect data on users’ opinions. Then, qualitative research was carried out to obtain the opinions of experts. Finally, the investigation was conducted using multivariate review analysis. The results of the research showed that e-bikes should be classified based on electric quantity, the rental fee should be charged based on mileage, and the relevant corporate information should be integrated. It is also necessary to develop a software interface with functions for users to rent e-bikes and search for information related to consumption, leisure, and travel activities, and make promotion plans. Finally, people need to be encouraged to cycle to obtain the benefits of leisure and exercise. In this manner, the convenience of participation in leisure and tourism activities can be increased, people’s physical and mental health will be substantially improved, and the happiness index of the people and the city will increase.

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.

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This theoretical paper presents the influence of learning styles and culture values on facilitating undergraduate students' learning. Learning styles describe the way people process information. Many learning style inventories have been developed and applied widely, for example, Kolb's Learning Style Inventory (LSI) and Honey and Mumford's Learning Styles Questionnaire (LSQ). However, limited research has been conducted in the field of hospitality and tourism higher education, particularly in eastern culture. Past research in the hospitality and tourism higher education did not reveal if certain learning styles can contribute to better learning outcomes, however, there is a significant difference in preferred learning styles of students in terms of different cultural values. Therefore, it makes it pivotal to consider the influence of culture difference when examining how learning styles contribute to better learning outcomes in future research. Therefore, hospitality and tourism educators can properly plan useful strategies to accommodate different learning styles and enhance students' learning.