Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots

Investigating risks and strategies in adopting green tourism practices in developing economy

In emerging economies, the tourism industry is crucial for economic growth, but it also carries substantial environmental and social risks. Promoting sustainability and reducing the detrimental effects of tourism are two benefits of using green tourism strategies. In order to assess the efficiency of various green tourism practices in reducing these risks, this study will first define the main risks and sub-risks related to implementing green tourist practices in China's developing economy. The analytic hierarchy process (AHP) and simple additive weighting (SAW) methods are used in the study to assess the multiple risks and strategies of various green tourism initiatives. The results of the AHP method show that economic, environmental, and political risks impede the implementation of green tourism for sustainable development. According to the SAW method findings, clear and effective regulations and guidelines, infrastructure development, and public-private partnerships are top-ranked strategy risks to adopting green tourism practices in China. The study provides implications for policymakers and tourism business owners in developing economies to promote the use of sustainable tourism practices. The study highlights effective strategies to promote sustainability and increase the adoption of sustainable tourism practices. The study offers useful insights for the government, stakeholders, and policymakers to take into account the risks and challenges involved with implementing green tourism practices in the context of China.

Diamond Model of Green Commitment and Low-Carbon Travel Motivation, Constraint, and Intention

Although consumers generally accept and care about environmental issues, consumers have not adjusted their behavior accordingly. Based on the diamond model theory, this study proposes and tests the direct impact of personal green commitments on low-carbon travel motivation and constraint, and the possibility of subsequent low-carbon travel intention. According to the results of 358 valid questionnaire surveys, this study shows that green commitments positively affect the low-carbon travel motivation and intention, while negatively affecting the low-carbon travel constraint. The low-carbon travel motivation has some mediating effects. The research results can be used as a reference by relevant managers of the tourism industry to make changes in the content of travel services that are more suitable for specific populations.

Exploration of Social Benefits for Tourism Performing Arts Industrialization in Culture-Tourism Integration Based on Deep Learning and Artificial Intelligence Technology

As a product of the tourism performing arts industry in culture–tourism integration development, to develop a featured culture–tourism town is a new trend for tourism development in the new era. To analyze the social benefit of the culture–tourism industry, in this study, an artificial intelligence model for social benefit evaluation is constructed based on backpropagation (BP) neural network and fuzzy comprehensive analysis, with Yiyang Town taken as an example. The criterion layer in the model includes three indexes (life benefit G1, environmental benefit G2, and economic benefit G3), and the index layer contains 11 indexes (H1–H11). The weight values of cultural inheritance and protection, ecological environment improvement, and commercial economy development to the social benefit of the town are 0.522, 0.570, and 0.424, respectively. For G1, 41.20% is excellent; for G2, 39.5% is excellent; and for G3, 40.5% is good. In general, 30.76% of the total social benefit is excellent, with 37.69% being good, 21.48% being qualified, and 10.07% being unqualified. It is inferred that the total social benefit level of Yiyang Town is good according to the constructed model. Therefore, the culture inheritance and protection, the ecological environment improvement, and the commercial economy development are the key evaluation factors of social benefit.