An examination of tourist arrivals dynamics using short-term time series data: a space–time cluster approach.

Anna Maria Parroco, Raffaele Scuderi, Dogan Gursoy

Risultato della ricerca: Articlepeer review

4 Citazioni (Scopus)

Abstract

The purpose of this study is to examine the development of Italian tourist areas (circoscrizioni turistiche) through a cluster analysis of short time series. The technique is an adaptation of the functional data analysis approach developed by Abraham et al (2003), which combines spline interpolation with k-means clustering. The findings indicate the presence of two patterns (increasing and stable) averagely characterizing groups of territories. Moreover, tests of spatial contiguity suggest the presence of 'space-time clusters'; that is, areas in the same 'time cluster' are also spatially contiguous. These findings appear to be more robust in particular for those series characterized by an increasing trend.
Lingua originaleEnglish
pagine (da-a)761-777
Numero di pagine17
RivistaTourism Economics
Volume19
Stato di pubblicazionePublished - 2013

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Tourism, Leisure and Hospitality Management

Fingerprint Entra nei temi di ricerca di 'An examination of tourist arrivals dynamics using short-term time series data: a space–time cluster approach.'. Insieme formano una fingerprint unica.

Cita questo