Complexity traits and dynamics of tourism destinations

Ruggero Sainaghi, Rodolfo Baggio

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)368-382
Number of pages15
JournalTourism Management
Volume63
DOIs
Publication statusPublished - 1 Dec 2017

Fingerprint

tourism
Tourism
Visibility
Chaos theory
chaotic dynamics
chaos
visibility
Tourism destination
ability
science
Turning point
time
Chaos
Destination
Graph
Multiple case study

Keywords

  • Complex systems
  • Horizontal visibility graph algorithm
  • Multiple case studies
  • Time series
  • Turning points

ASJC Scopus subject areas

  • Development
  • Transportation
  • Tourism, Leisure and Hospitality Management
  • Strategy and Management

Cite this

Complexity traits and dynamics of tourism destinations. / Sainaghi, Ruggero; Baggio, Rodolfo.

In: Tourism Management, Vol. 63, 01.12.2017, p. 368-382.

Research output: Contribution to journalArticle

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