254
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Multi-method investigations of the impact of lockdown relaxation on tourists’ and residents’ movements

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 619-638 | Received 07 Jun 2023, Accepted 23 Oct 2023, Published online: 09 Nov 2023
 

ABSTRACT

This research examines the impact of lockdown relaxation on tourists’ and residents’ movements in the context of restaurant patronage in Jeju Island, South Korea. Drawing on spatial interaction and multi-attribute attitude theories, we hypothesized the difference between tourists and residents in terms of restaurant visit patterns and choices during lockdown relaxation. A multi-method approach was adopted: spatial, data-driven analysis, and experiments. Lockdown relaxation is found to affect how tourists and residents choose and visit restaurants in different ways. This research provides explanations about tourists’ and residents’ mobility and guidelines that practitioners can use to prepare for “living with COVID-19.”

Disclosure statement

No potential conflict of interest was reported by the author(s).

SUPPLEMENTARY MATERIAL

Supplemental data for this article can be accessed online at https://doi.org/10.1080/10548408.2023.2277805

Additional information

Funding

The work was supported by the This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2023S1A5C2A03095253) .

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 309.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.