Social big data informs spatially explicit management options for national parks with high tourism pressures

Joungyoon Chun, Choong Ki Kim, Gang Sun Kim, Ju Young Jeong, Woo Kyun Lee

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)


Nature-based tourism in protected areas is an easily experienced ecosystem service that humans enjoy, but it acts as tourism pressures on ecosystem. Some park managers, however, lack an understanding of the spatial distribution and ecological impact of these pressures. We analyzed the size and spatial distribution of these pressures in Korean national parks, using visitor statistics and social big data. In addition, by overlay it with endangered species distribution data, we analyzed areas where tourism pressures and ecologically significant areas could be conflicted. The tourism pressure differed according to the individual protected areas’ characteristics. Due to the unevenness of the magnitude and spatial distribution of pressures, the ecological impacts could be spatially differentiated. This study suggests that tourism pressure may be a decisive factor affecting protected areas' ecosystems with increased visitors. Using social big data, managers can establish spatially explicit management policies that consider tourism pressures on individual protected areas.

Original languageEnglish
Article number104136
JournalTourism Management
Publication statusPublished - 2020 Dec


  • Management policy
  • Nature-based tourism
  • Protected area
  • Social big data
  • Tourism pressure

ASJC Scopus subject areas

  • Development
  • Transportation
  • Tourism, Leisure and Hospitality Management
  • Strategy and Management


Dive into the research topics of 'Social big data informs spatially explicit management options for national parks with high tourism pressures'. Together they form a unique fingerprint.

Cite this