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Prof. Sangwon Park
Professor
College of Hotel and Tourism Management
Kyung Hee University
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KEY PROJECTS
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02:05
Understanding travel behaviors/patterns of international travelers visiting South Korea: applications of big data analysis
This project is to characterize and model travel behavior of international tourists to South Korea, which suggest an innovative approach to integrating mobile big data analytics into destination planning. As a result, innovative strategies are advocated to destination planners so as to make the destinations more sustainable and competitive.
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02:55
Big Data Analysis on Travel Patterns of Visitors to Jeju
The project aims to discover the travel patterns of tourists visiting Jeju island by analyzing massive mobility data, such as smart card and navigation data. The results come up with important insights (hot places/key travel routes and activities in Jeju), which can serve as foundations of developing destination recommendation systems.
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01:44
Travel Pattern Analysis of Foreign Visitors using Mobile Big Data
This project is to discover tourism network community in South Korea by analyzing mobile sensor data. This project suggests the tourism typology of network structures in South Korea, suggesting the configuration of destination collaboration and enhancement of transportation efficiency.
RESEARCH
PR
OJEC
TS
S
PEEC
H
NEWS
제92차 한국관광학회 부산국제학술대회 우수논문상 수상
빅데이터를 활용한 해양관광 강연
International Speech at the ITSA in Spain
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