Graphical models for estimating network determinants of multi-destination trips in Sicily

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3 Citazioni (Scopus)

Abstract

This paper proposes a two-step approach for analysing the main determinants of multi-destination trip behaviour. It is based on a combination of graphical models and of a multinomial logistic regression model; the aim is to analyse direct and indirect effects of a wide set of tourist- and trip-related characteristics on multi-destination trip behaviour. Empirical data have been derived from a frontier survey of approximately 4000 incoming tourists in Sicily (Italy) at the end of their trip. Results suggest that multi-destination trips depend directly on the length of stay, the number of previous visits and motivation for the trip, and only indirectly on the interview month, travel party, organization of the trip, and country of origin. The role of other socio-demographic characteristics, such as age or gender is confirmed to be marginal or even irrelevant.
Lingua originaleEnglish
pagine (da-a)109-119
Numero di pagine11
RivistaTourism Management Perspectives
Volume22
Stato di pubblicazionePublished - 2017

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logistics
gender
Graphical models
Destination
Tourists
effect
travel
Direct effect
Country of origin
Indirect effects
Length of stay
Italy
Logistic regression model
Empirical data
Sociodemographic characteristics
Multinomial logistic regression

All Science Journal Classification (ASJC) codes

  • Tourism, Leisure and Hospitality Management

Cita questo

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title = "Graphical models for estimating network determinants of multi-destination trips in Sicily",
abstract = "This paper proposes a two-step approach for analysing the main determinants of multi-destination trip behaviour. It is based on a combination of graphical models and of a multinomial logistic regression model; the aim is to analyse direct and indirect effects of a wide set of tourist- and trip-related characteristics on multi-destination trip behaviour. Empirical data have been derived from a frontier survey of approximately 4000 incoming tourists in Sicily (Italy) at the end of their trip. Results suggest that multi-destination trips depend directly on the length of stay, the number of previous visits and motivation for the trip, and only indirectly on the interview month, travel party, organization of the trip, and country of origin. The role of other socio-demographic characteristics, such as age or gender is confirmed to be marginal or even irrelevant.",
author = "{De Cantis}, Stefano and Antonino Abbruzzo and Mauro Ferrante",
year = "2017",
language = "English",
volume = "22",
pages = "109--119",
journal = "Tourism Management Perspectives",
issn = "2211-9736",
publisher = "Elsevier USA",

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TY - JOUR

T1 - Graphical models for estimating network determinants of multi-destination trips in Sicily

AU - De Cantis, Stefano

AU - Abbruzzo, Antonino

AU - Ferrante, Mauro

PY - 2017

Y1 - 2017

N2 - This paper proposes a two-step approach for analysing the main determinants of multi-destination trip behaviour. It is based on a combination of graphical models and of a multinomial logistic regression model; the aim is to analyse direct and indirect effects of a wide set of tourist- and trip-related characteristics on multi-destination trip behaviour. Empirical data have been derived from a frontier survey of approximately 4000 incoming tourists in Sicily (Italy) at the end of their trip. Results suggest that multi-destination trips depend directly on the length of stay, the number of previous visits and motivation for the trip, and only indirectly on the interview month, travel party, organization of the trip, and country of origin. The role of other socio-demographic characteristics, such as age or gender is confirmed to be marginal or even irrelevant.

AB - This paper proposes a two-step approach for analysing the main determinants of multi-destination trip behaviour. It is based on a combination of graphical models and of a multinomial logistic regression model; the aim is to analyse direct and indirect effects of a wide set of tourist- and trip-related characteristics on multi-destination trip behaviour. Empirical data have been derived from a frontier survey of approximately 4000 incoming tourists in Sicily (Italy) at the end of their trip. Results suggest that multi-destination trips depend directly on the length of stay, the number of previous visits and motivation for the trip, and only indirectly on the interview month, travel party, organization of the trip, and country of origin. The role of other socio-demographic characteristics, such as age or gender is confirmed to be marginal or even irrelevant.

UR - http://hdl.handle.net/10447/224283

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EP - 119

JO - Tourism Management Perspectives

JF - Tourism Management Perspectives

SN - 2211-9736

ER -