Management of cultural tourism in Ban Toon, Muang District, Phayao Province, Thailand during the COVID-19 pandemic.

Background Add ABSTRACT above the background: The research aims to study the process of managing cultural tourism in the community and assess the socio-economic impact on the community with the help of eight key contributors to the project who play an essential role in the implementation of cultural tourism management. Methods: We prepared field notes from interviews and observations, and provided details from data collection (in the form of transcripts). Thematic analysis was employed to answer the research questions using a content analysis tool to obtain the community context in cultural tourism and tourism management dimensions. Participatory Action Research (PAR) was employed to meet the needs of stakeholders and test tourism routes through such routes. The tourism route development was evaluated using descriptive statistics. Results: There is one new cultural tourism route and the process of managing cultural tourism developed community-level organizations with spiritual leaders as the main advisors. The result of the net present value (NPV) analysis is 917,149 baht or 27,792$. The return from the implementation of this project (the internal rate of return (IRR)) is 11.32%. In addition, the ratio of the sum of the present value over the life of the project to the sum of the present value of the cost over the life of the project is 2.45 times, giving the project, if continued, an income 2.45 times greater than its expenditure. Conclusions: Cultural tourism management in Ban Toon, Muang District, and Phayao Province during the COVID-19 pandemic can be used as a guideline in other communities with similar contexts.

An analysis of the possibilities and challenges of long stay tourism in Thailand.

The tourism sector is significant in emerging nations like Thailand. The cost of lodging is a significant component of practically every trip, thus it is important to consider accommodation development while trying to draw in visitors from other nations. The long-stay tourism industry is crucial since longer visitor stays result in more revenue. Following this, other research on long-term lodging of all forms has been conducted, with an emphasis on both the tourist and real estate sectors. The best tourist option in Thailand is long-term travel. As evidenced by the American, European, and Japanese visitors, the target market is tourists from nations with high costs of living, frigid climates, and aging populations. Therefore, it is anticipated that the tourist demographic will change in future, leading to the emergence of the retirement home niche market as a part of long-stay tourism. The characteristics of long-stay tourism in Thailand are examined in this paper, and we assess the theoretical and conceptual framework as an analysis of Thailand's tourism. Examining the current situation of the Thai long-stay tourist business is the initial and main objective of this study. There is currently no perfect answer, but various alternatives from comparable markets in representative nations have been used as examples to subsequently create tourism accommodation in Thailand for long-stay tourism.

Analysis on factors affecting tourist involvement in coffee tourism after the COVID-19 pandemic in Thailand.

Background: The world economy was broken by the COVID-19 pandemic, which affected the coffee industry. The COVID-19 pandemic's financial effects might influence equity markets and personal lives. This includes financial commodities like coffee, which the pandemic is predicted to damage. Coffee tourism is an emerging new kind of tourism in Thailand, formed in response to growing demand from visitors with a particular affinity for the beverage. Coffee tourism may contribute considerably to the expansion of Thai tourism if given the proper guidance and assistance. Methods: As part of a coffee tourism experience focusing on first-hand activities and information, tourists can visit neighbouring sites while on a coffee plantation. This research uses a stochastic neuro-fuzzy decision tree (SNF-DT) to analyse coffee tourism in Thailand. The research surveys 400 international and Thai coffee tourists. According to studies, Thai visitors mostly visit coffee tourism locations in Thailand for enjoyment. They also wanted to visit coffee fields in order to get personal knowledge of coffee production and marketing. Based on the comments of Thai visitors, coffee tourism in northern Thailand looks to be highly and effectively handled. Due to the same factor, responses from foreign coffee tourists indicated that many of their journeys to coffee tourism destinations were made entirely for enjoyment rather than the business. They also wanted to meet local tour guides and acquire handmade and locally produced things to understand more about coffee tourism. Result: According to study results, coffee tourism management in northern Thailand looks well-received by international tourists. We also compare the suggested model to the traditional one to demonstrate its efficacy. The performance metrics are prediction rate, prediction error, and accuracy. The estimated results for our proposed technique are prediction rate (95%), prediction error (97%), and accuracy (94%). Recommendations: Major global businesses such as tourism have been harmed by COVID-19's unprecedented effects. This study attempts to determine the role of coffee tourism in livelihoods based on real-time data using a machine-learning approach. More research is needed to analyse the factors of the coffee tourism experience using different machine learning approaches.