An Empirical Investigation on the Associate Among Tourists and Japanese Tourism Destinations

Tsutomu Ito, Seigo Matsuno, Takao Ito, Makoto Sakamoto, Satoshi Ikeda, Rajiv Mehta

Research output: Contribution to journalArticlepeer-review


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 languageEnglish (US)
Pages (from-to)358-362
Number of pages5
JournalJournal of Robotics, Networking and Artificial Life
Issue number4
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Artificial Intelligence


  • Four-cell model
  • Regional revitalization
  • Tourism resource
  • Touristic destination
  • Travel time


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