Abstract
With increasing concerns about overtourism and its associated impacts, there remains an imperative need to understand the spatial concentration of tourist activities within destinations. This study demonstrates that mobile phone data can be leveraged to accurately quantify the spatial concentration effect and potential heterogeneity among travelers with different social backgrounds. We introduce an analytical framework and demonstrate its efficacy through a case study of international travelers in three Korean cities (Seoul, Busan and Jeju). Results show that Asian travelers exhibit the highest spatial concentration, followed by European and North Americans, a finding that is consistent across all three cities and different times of the day. The Theil's entropy index effectively portrays spatial similarity of activities among the three groups, revealing that the spatial preferences of European travelers are intermediate between those of Asians and North Americans. The findings underscore the importance of considering travelers’ social backgrounds in tourist flow management.
| Original language | English |
|---|---|
| Article number | 105064 |
| Journal | Tourism Management |
| Volume | 107 |
| DOIs | |
| Publication status | Published - Apr 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Mobile phone data
- Overtourism
- Spatial concentration
- Tourism big data
- Tourist activity
- Travel behavior
- Urban tourism
ASJC Scopus subject areas
- Development
- Transportation
- Tourism, Leisure and Hospitality Management
- Strategy and Management
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