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The structural changes of a local tourism network: comparison of before and after COVID-19

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  • Chang-Young Jeon
  • Hee-Won Yang

Abstract

The COVID-19 pandemic has caused dramatic changes on a global scale. According to the United Nations World Tourism Organization (2020), the restricted movement that has arisen from the pandemic is expected to reduce the national tourist market to 180 million visitors, a 44% decrease from 2019. Subsequently, alternative tourist activities have been promoted to satisfy the suppressed demand. This study examined the structural changes of a local tourism network focusing on Gangwon Province, in the Republic of Korea, which has experienced a rise in tourist demand following the COVID-19 outbreak. This study composed a matrix using the movement patterns of tourists who visited Gangwon Province during corresponding periods before and after the outbreak and then conducted a network analysis. The results demonstrated that as tourists travelled, they focused their movements on local areas and simplified travel routes. Moreover, our findings revealed that the demand for tourism was concentrated on beaches, which previously tended towards a low tourism density. As COVID-19 is expected to become a pervasive reality for the foreseeable future, this empirical study on the corresponding changes in tourist behaviour has implications regarding the tourism industry’s direction.

Suggested Citation

  • Chang-Young Jeon & Hee-Won Yang, 2021. "The structural changes of a local tourism network: comparison of before and after COVID-19," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(23), pages 3324-3338, December.
    • Handle: RePEc:taf:rcitxx:v:24:y:2021:i:23:p:3324-3338
    DOI: 10.1080/13683500.2021.1874890
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    Cited by:

    1. Maria Gabriella Campolo & Carlo Giannetto & Maurizio Lanfranchi & Angelina De Pascale, 2024. "Navigating Time: A Comparative Analysis of Senior Tourists’ Intentions and Length of Stay in Italy Pre-, during, and Post-COVID-19," Sustainability, MDPI, vol. 16(3), pages 1-22, January.
    2. Deely, John & Hynes, Stephen & Cawley, Mary & Hogan, Sarah, 2023. "Modelling domestic marine and coastal tourism demand using logit and travel cost count models," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 123-136.
    3. Xianke Li & Johnny Fat Iam Lam & Zhicong Lin & Chongyan Li, 2024. "Development Path of Macao Tourism Symbiosis Integration from the Configuration Perspective," Sustainability, MDPI, vol. 16(19), pages 1-16, September.
    4. David Boto-García & Veronica Leoni, 2023. "Distance Traveled in Times of Pandemic: An Endogenous Switching Regression Approach," Tourism Economics, , vol. 29(3), pages 571-595, May.
    5. Huimin Song & Wei Zeng & Jamie M. Chen & Emily Ma, 2024. "COVID-19 Impacts on the Spatial Network of City Tourism in Fujian Province, China," Sustainability, MDPI, vol. 16(8), pages 1-14, April.
    6. Llano, Fabián Andrés, 2024. "El turismo rural comunitario, un campo de estudio emergente: Un análisis desde la teoría fundamentada," OSF Preprints n4uzj, Center for Open Science.

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