EconPapers    
Economics at your fingertips  
 

Tourism destinations: A universality conjecture based on network science

Rodolfo Baggio

Annals of Tourism Research, 2020, vol. 82, issue C

Abstract: The structural characteristics of a tourism destination are of crucial importance since they influence its dynamic behavior. Many studies have shown that destinations have apparently similar topologies. The question posited in this paper is to what extent does this similarity hold, and whether these topologies can be considered as a universal trait. This study reanalyzes available data to test this conjecture. In particular, several quantities representing the topological structures of the destination are calculated; further, we obtain size-invariant and scalable similarity scores. The results indicate that destinations hold structurally similar, and arguably universal, characteristics. This finding is important as it suggests that there are some very basic (and consistent) strategies destination managers can develop when designing plans and actions.

Keywords: Network science; Tourism systems; Destination structure; Destination design; Universality (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160738320300736
Full text for ScienceDirect subscribers only

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:eee:anture:v:82:y:2020:i:c:s0160738320300736

DOI: 10.1016/j.annals.2020.102929

Access Statistics for this article

Annals of Tourism Research is currently edited by John Tribe

More articles in Annals of Tourism Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:anture:v:82:y:2020:i:c:s0160738320300736