Abstract
Currently, Japan is facing serious headwinds from declining birthrates as well as an aging society, and their economic consequences are widely known. Among many possible strategies to address the aging and shrinking population, the revitalizing the local economy in each prefecture become more prominent with an emphasis on spurring tourism. To shed light on this issue, this manuscript focuses on determining empirically the interrelationship between tourists and tourism destination characteristics using regression modelling. More specifically, the inter-linkages among tourists and tourism destinations are conducted by developing a 4-cell model. The results find support for the importance of the development of public traffic among different tourism destinations as a promising economic revitalization strategy.
Original language | English (US) |
---|---|
Pages (from-to) | 358-362 |
Number of pages | 5 |
Journal | Journal of Robotics, Networking and Artificial Life |
Volume | 9 |
Issue number | 4 |
DOIs | |
State | Published - 2022 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Artificial Intelligence
Keywords
- Four-cell model
- Regional revitalization
- Tourism resource
- Touristic destination
- Travel time