Understanding seasonal and diurnal variations of inter-city tourism destination network

Sangwon Park, Ren Zhong, Yang Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


This study characterizes a destination network based on travel flow. Although the tourism literature has mostly discussed the static configurations of network structures, this study presents a dynamic destination network considering four seasons and daily periods. Given the advancement of connected technology, mobile sensor big data collected from international travelers visiting Korea were analyzed to explore movement behaviors across 250 cities in the country. Results demonstrate the dynamics of complex network systems in tourism destinations over time, such as seasons and diurnal variations. Its findings are crucial for developing vibrant destination management and contextual marketing.

Original languageEnglish
Pages (from-to)432-447
Number of pages16
JournalJournal of Travel and Tourism Marketing
Issue number4
Publication statusPublished - Sept 2022


  • dynamics of destination network
  • mobile data
  • Network science
  • tourism big data

ASJC Scopus subject areas

  • Tourism, Leisure and Hospitality Management
  • Marketing


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