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A Study on Deriving an Optimal Route for Foreign Tourists through the Analysis of Big Data

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The purpose of this paper is to derive an optimal route for foreign tourists in Korea. To that end, the data gained from domestic tourist portal sites was analyzed with a big data analytics tool R. The destinations most visited by inbound foreign tourists, the shortest route and the most economical route were derived from the analysis results. The findings suggest original Korean culture is the factor for successful tourist destinations and relevant products, and will serve as some reference data conducive to planning the tourist products in practice.

Abstract

The purpose of this paper is to derive an optimal route for foreign tourists in Korea. To that end, the data gained from domestic tourist portal sites was analyzed with a big data analytics tool R. The destinations most visited by inbound foreign tourists, the shortest route and the most economical route were derived from the analysis results. The findings suggest original Korean culture is the factor for successful tourist destinations and relevant products, and will serve as some reference data conducive to planning the tourist products in practice.

참고문헌 (15)

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  6. "Tourism Knowledge & Information System"[URL]
  7. 최민제, "빅데이터 융합 기반 범죄예방에 관한 탐색적 연구 - 성남시 사례 분석을 통해 -", 디지털융복합연구, 14(11), pp.125~133 (2016), 한국디지털정책학회[DOI]
  8. 김근원, "지하철 혼잡도 개선방안에 관한 빅데이터융합 기반의 탐색적 연구", 디지털융복합연구, 13(2), pp.35~42 (2015), 한국디지털정책학회[DOI]
  9. K. W. Kim, "A study on plan to improve illegal parking using big data", Indian Journal of Science and Technology, 8(21), pp.1~ (2015)[DOI]
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  14. K. S. Noh, "Big data analysis for R" (2018), Wowpass
  15. J. H. Kim, "Big data R point" (2018), Kwangmoonkag

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