Complexity traits and dynamics of tourism destinations

This paper is rooted in network science and contributes to filling two gaps, developing multiple case studies in order i) to measure the complex structure of tourism destination and ii) to explore its evolution over time, by mapping turning points. The findings put forward ten new analyses, allowing...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Tourism management (1982) Ročník 63; s. 368 - 382
Hlavní autoři: Sainaghi, Ruggero, Baggio, Rodolfo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.12.2017
Témata:
Complex systems
Horizontal visibility graph algorithm
Multiple case studies
Time series
Turning points
Turning points
Horizontal visibility graph algorithm
Complex systems
Time series
Multiple case studies
ISSN:0261-5177, 1879-3193
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This paper is rooted in network science and contributes to filling two gaps, developing multiple case studies in order i) to measure the complex structure of tourism destination and ii) to explore its evolution over time, by mapping turning points. The findings put forward ten new analyses, allowing the research team to test two hypotheses: i) concerning the complex structure, the tendency of tourism destinations to remain far from the chaos threshold, ii) concerning turning points, the ability of different destinations to show also different evolution through time. The paper uses the Horizontal Visibility Graph Algorithm and applies it to a sample of ten tourism destinations in the second leading Italian tourism region per size: Trentino-Alto Adige. Findings confirm both hypotheses. Limitations and research implications are drawn. •The paper focuses on the complex structure of tourism destinations.•Overnights time series of ten destinations are transformed into networks and examined.•Findings reveal that the ten destinations examined show complexity characteristics but no chaotic behaviors.•The analysis of their turning points confirms also that the destinations have different evolution through time.•The relevance of non-linear models for the analysis of tourism destinations is highlighted.
ISSN:0261-5177
1879-3193
DOI:10.1016/j.tourman.2017.07.004