Projects/Fundings
2025-2027
멀티 스케일 도시 건조 환경이 활동적 여행 행동과 만족도에 미치는 영향
National Research Foundation of Korea (한국연구재단)
This project explores how built environments shape tourists’ active travel (walking and cycling) in Seoul using geospatial big data and machine learning.
It identifies key drivers such as accessibility and non-linear environmental effects, providing strategic insights for sustainable destination planning and management.
2025
컨벤션 센터 운영 효율화를 위한 데이터 시각화 대시보드 구축
디지털융합형 무역전시인력양성사업(산업통상자원부) 산학협력 프로젝트를 통해 송도 컨벤시아의 운영 데이터 시각화(BI) 대시보드를 구축하였습니다.
Google Looker Studio를 기반으로 핵심성과지표를 구조화하고 동적 모니터링 대시보드를 구현하였습니다. 원천 데이터 연동 및 오류 관리 지침을 포함한 운영 매뉴얼을 제작하였습니다
SONGDO CONVENSIA (송도 컨벤시아)
2025
전시 참관객 행동 분석 및 마케팅 전략 수립
디지털융합형 무역전시인력양성사업(산업통상자원부) 산학협력 프로젝트의 일환으로 전시 주최사 한국 이앤엑스와 협업하였습니다.
2025 KIMES 데이터를 기반으로 참관객 방문 예측 분류 모형을 구축하고, 측위 데이터 공간 분석을 통해 전시장 내 주요 밀집 지역 및 이동 경로를 도출하였습니다. 이를 바탕으로 차기 전시회 타겟 마케팅 전략과 데이터 수집 체계 개선안을 제언하였습니다.
Korea E&EX (한국이앤엑스)
2023-2025
디지털 넛지: 친환경 커뮤니케이션의 게임화가 소비자의 심리와 행동에 미치는 영향
This project develops a cutting-edge travel app - Explore Mekong Heritage - designed to immerse international travelers in the rich tapestry of history, culture, and natural beauty at the heart of Southeast Asia. Developed in collaboration with diverse regional stakeholders, the app delivers up-to-date, trustworthy travel information for UNESCO World Heritage destinations, including Luang Prabang (Lao PDR), Bagan (Myanmar), Siem Reap (Cambodia), Ayutthaya (Thailand), and Hue (Vietnam).
National Research Foundation of Korea (한국연구재단)
2022-2024
Design and Development the Mobile Application System on Mekong Sustainable and Smart Tourism
This project develops a cutting-edge travel app - Explore Mekong Heritage - designed to immerse international travelers in the rich tapestry of history, culture, and natural beauty at the heart of Southeast Asia. Developed in collaboration with diverse regional stakeholders, the app delivers up-to-date, trustworthy travel information for UNESCO World Heritage destinations, including Luang Prabang (Lao PDR), Bagan (Myanmar), Siem Reap (Cambodia), Ayutthaya (Thailand), and Hue (Vietnam).
Mekong Institute
2022-2023
인천 스마트관광도시 방문객 이동패턴 빅데이터 분석 용역
This project analyzes mobile application data from IncheonEasy (인천 e지) to uncover patterns in visitor mobility, information search behaviors, and on-site experiences in Incheon. Leveraging advanced big data analytics—including spatial analysis and pattern mining—it generates actionable insights to support smarter destination planning, targeted marketing, and sustainable tourism management.
Incheon Tourism Organization (인천관광공사)
빅데이터 기반 전주시 관광 핫플레이스 도출
This project harnesses large-scale mobile sensor data to uncover the movement patterns of international travelers in Jeonju. By applying advanced spatial big data analytics, we identify the city’s most vibrant hot spots and reveal their evolving spatial dynamics—providing valuable insights for tourism planning, marketing, and urban management.
Jeonju City Government (전주시청)
2019-2021
Labor Productivity and Destination Competitiveness
Boosting Destination Competitiveness through Productivity
This project examines how sectoral productivity drives the competitiveness of tourist destinations, using Hong Kong as a case study. By linking tourism-related productivity to community quality of life, the study shows that core tourism sectors play a critical role in strengthening destination advantages in a global economy.
General Research Fund in Hong Kong
Uncovering Tourism Network
This project is to uncover the structure of travel network in Republic of Korea. Mobile big data representing massive flow of international travelers have been analyzed by the spatial network analytics. The project configures the macro and meso network structures of tourism destinations across 250 cities, which provide important insights for regional marketing and destination cooperation strategy.
Korean Tourism Organization (한국관광공사)
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.
Korean Tourism Organization (한국관광공사)
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.
Korean Tourism Organization (한국관광공사)
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.
Jeju Tourism Organization (제주관광공사)
Uncover Space-Time Dynamics of Tourist Mobility Patterns from Large-Scale Mobile Positioning Data
The Hong Kong Polytechnic University
Artificial Intelligence in Hospitality and Tourism: User Experiences and Organizational Efficiency
The Hong Kong Polytechnic University
Productivity, Flexible Working Practices and International Migration in the Hotel Sector
Economic and Social Science Research Council