Abstract
The purpose of this study is to identify the course usage behavior of Jeju Olle Trail users before and after COVID-19. To achieve the purpose, data was collected using Python and analyzed on the basis of QGIS. 24,093 course-related text data and 9,409 location data, such as destination restaurants, were collected for the analysis. As a result, the most visited course was course 1 in text-mining, and course 7-1 in location data. In detail, the visitors showed a preference for outdoor activities, including visiting scenic spots and street markets, rather than indoor activities. Course 1, which was derived the most frequently in the text, was found to be a behavior for the purpose of enjoying nature such as tourist attractions or landscape photos. Next, the 7-1 course, which had the highest frequency on the location information map, is a course where people can enjoy the natural scenery while walking lightly, and where accommodations (hotels, guesthouses, motels, etc.) and restaurants or exotic cafes are located. Comparing the usage behavior results between pre-and post-COVID-19, the restaurant name and guest house, which are indoor spaces, showed high frequency in the pre-COVID-19 situation. On the other hand, the frequency of 'Jeju Olle Market', which allows people to eat outdoors and take away, has soared in the post-COVID-19 situation. Also, there was a noticeable change in the behavior of accommodation for 'Resort', where only a few people, such as family or friends, can stay.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
