Configuring the Pattern of Sustainable Tourism Development as Affected by the Construction of a High-Speed Railway System
Yanan Li and
Sid Terason
SAGE Open, 2023, vol. 13, issue 3, 21582440231181368
Abstract:
This study highlights the role of a high-speed railway system in driving the tourism industry, as the tourism market prepares to achieve sustainable development after the COVID-19 pandemic. Considering the example of southwestern China, this study summarizes the configuration patterns of sustainable tourism development based on the fuzzy-set qualitative comparative analysis method, and subsequently uses the gravity model to express its core factor based on the ArcGIS platform. The study found that the tourism development pattern in this area was not homogenous, but rather a combination of six equivalent patterns (namely configured pattern). Tourism Economic Connection was the core variable to promote tourism development. Therefore, based on the configurational theory, each city should determine its own pattern and accordingly develop strengths as well as complement weaknesses. Furthermore, determined by the complexity theory, cities should capitalize on the strength of the high-speed railway system and learn from the accomplishments realized in other cities.
Keywords: high-speed railway; configuration patterns; tourism economy; fuzzy-set qualitative comparative analysis method; sustainable development (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440231181368 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231181368
DOI: 10.1177/21582440231181368
Access Statistics for this article
More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().