학술논문
Analysis of Tourist Behavior Between Tourist Spots Depending on Tourists' Residence Area Using Location-Based Data
Document Type
Conference
Author
Source
2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter) IIAI-AAI-WINTER Advanced Applied Informatics Winter (IIAI-AAI-Winter), 2023 15th International Congress on. :52-57 Dec, 2023
Subject
Language
Abstract
Tourism is one of Japan's major industries. It plays a crucial role in economic revitalization, especially in rural towns The COVID-19 pandemic caused significant damage to the tourism industry, and it is not possible to return to the pre-COVID-19 conditions. Therefore, in the era of “living with COVID-19,” there is a demand to find ways to revitalize tourism. Currently, there is a demand from the field to analyze tourists' behavior in detail based on information like GPS, but the results are not being fully utilized. Furthermore, the more complex the data aggregation, the more expensive it becomes, making it less accessible for easy implementation. In this study, we utilized mobile carrier location registration data to assess the connections between tourism spots within Nagasaki Prefecture using only basic aggregate data for each location. As a result, we revealed that tourist behavior varies depending on the place of residence and uncovered trends in behavior based on the season.