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Article

Where and Why Travelers Visit? Classifying Coastal Tourism Activities Using Geotagged Image Content from Social Media Data

1
Divisions for Natural Environment, Korea Environment Institute (KEI), Sejong 30147, Republic of Korea
2
Department of Environmental Science & Ecological Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2024, 13(10), 355; https://doi.org/10.3390/ijgi13100355
Submission received: 30 July 2024 / Revised: 25 September 2024 / Accepted: 30 September 2024 / Published: 7 October 2024

Abstract

Accurate information regarding the size, activity, and distribution of coastal tourists is essential for the effective management and planning of coastal tourism. In this study, geotagged photos uploaded to social network services were classified to identify coastal tourism activities. These activities were linked with spatial-scale data on tourist numbers estimated from social media data. To classify the activities, which included recreation, appreciation, education, and other activities, an image-supervised classification model was trained using 12,229 images, and the test accuracy was found to be 0.7244. On the Flickr platform, 43% of the image data located in the coastal land of South Korea are other activities, 39% are appreciation activities, and 18% are recreation and education activities. Other activities are mainly located in urban areas with a high population density and are spatially concentrated, while appreciation activities are mainly located in the natural environment and tend to be spatially spread out. Data on tourist activity categorization through content classification, combined with traditional tourist volume estimates, can help us understand previously overlooked information and context about a space.
Keywords: coastal tourism management; geotagged social media; spatial data analysis; image classification; tourist behavior insights; data integration coastal tourism management; geotagged social media; spatial data analysis; image classification; tourist behavior insights; data integration

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MDPI and ACS Style

Kim, G.S.; Kim, C.-K.; Lee, W.-K. Where and Why Travelers Visit? Classifying Coastal Tourism Activities Using Geotagged Image Content from Social Media Data. ISPRS Int. J. Geo-Inf. 2024, 13, 355. https://doi.org/10.3390/ijgi13100355

AMA Style

Kim GS, Kim C-K, Lee W-K. Where and Why Travelers Visit? Classifying Coastal Tourism Activities Using Geotagged Image Content from Social Media Data. ISPRS International Journal of Geo-Information. 2024; 13(10):355. https://doi.org/10.3390/ijgi13100355

Chicago/Turabian Style

Kim, Gang Sun, Choong-Ki Kim, and Woo-Kyun Lee. 2024. "Where and Why Travelers Visit? Classifying Coastal Tourism Activities Using Geotagged Image Content from Social Media Data" ISPRS International Journal of Geo-Information 13, no. 10: 355. https://doi.org/10.3390/ijgi13100355

APA Style

Kim, G. S., Kim, C.-K., & Lee, W.-K. (2024). Where and Why Travelers Visit? Classifying Coastal Tourism Activities Using Geotagged Image Content from Social Media Data. ISPRS International Journal of Geo-Information, 13(10), 355. https://doi.org/10.3390/ijgi13100355

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