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Projects/Fundings

2025-2027

멀티 스케일 도시 건조 환경이 활동적 여행 행동과 만족도에 미치는 영향

 National Research Foundation of Korea (한국연구재단)

2023-2025

디지털 넛지: 친환경 커뮤니케이션의 게임화가 소비자의 심리와 행동에 미치는 영향

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

Tourism Intelligence Lab ​

712 College of Hotel and Tourism management, Kyunghee University

26, Kyungheedae-ro, Dongdaemun-gu, Seoul, Republic of Korea

경희대학교 서울캠퍼스 호텔관광대학 본관 712호

Email: contact.tilab@gmail.com

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