A Basic Study of the Influence of Tourism Awareness on Behavior

Abstract

In 2023, for the first time, the population of all 47 prefectures in Japan declined. Going forward, Japan will continue to face a long-term, rapid population decline and an aging society with declining birthrates, which no other country in the world has experienced. Under these circumstances, the promotion of tourism interaction is one of the most important issues. This is because tourism has a wide-ranging impact on local employment and the local economy, as well as improving local vitality. Under these circumstances, it is necessary to elucidate the mechanism of tourism interaction.With the promotion of DX (Digital Transformation), the use of AI and IoT has become much more advanced and easier than before. On the digital twin (virtual space), unlike the conventional metaverse space, the real space environment can be completely reproduced, and monitoring and simulation can be performed. This calls for the use of this technology for tourism interaction. This is because in the digital twin space, its reproduction AI has been constructed based on AI analysis methods based on actual data, and simulations that are difficult to experiment with are now possible. On the other hand, the reproduction and simulation do not take into account people's consciousness and thoughts, and as with generative AI, they adopt the best-fitting results based on numerical precision, and are not capable of clarifying the specific factors that bring about the results.The purpose of this study is to clarify the relationship between tourism factors and performance, taking into account the influence of people's awareness and thoughts about tourism on their actual behavior. This study is a basic analysis in clarifying the mechanism of tourism interaction considering people's awareness as a factor.Specifically, the analysis is as follows. The survey asked about people's awareness of tourism, including the importance of each item they seek in tourism, the importance of each item in their choice of tourist destination, and the results of actual tourism. Based on the results of this survey, a tourism interaction model that takes into account people's awareness is constructed. Open data will be used for socioeconomic indicators. In constructing the model, we will formulate it based on the theory of individual utility maximization. In addition, policy simulations will be conducted using the constructed model. In the process of constructing the model, we propose a method to quantify people's awareness. In addition, by conducting simulations using the constructed model, we will provide information that will contribute to future tourism exchange policies.

Keywords: Tourism, Awareness, Regional problem solving, Tourism interaction model

DOI: 10.54941/ahfe1004547