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Chapter Determinants of spatial intensity of stop locations on cruise passengers tracking data

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This paper aims at analyzing the spatial intensity in the distribution of stop locations of cruise passengers during their visit at the destination through a stochastic point process modelling approach on a linear network. Data collected through the integration of GPS tracking technology and questionnaire-based survey on cruise passengers visiting the city of Palermo are used, to identify the main determinants which characterize their stop locations pattern. The spatial intensity of stop locations is estimated through a Gibbs point process model, taking into account for both individual-related variables, contextual-level information, and for spatial interaction among stop points. The Berman-Turner device for maximum pseudolikelihood is considered, by using a quadrature scheme generated on the network. The approach used allows taking into account the linear network determined by the street configuration of the destination under analysis. The results show an influence of both socio-demographic and trip-related characteristics on the stop location patterns, as well as the relevance of distance from the main attractions, and potential interactions among cruise passengers in stop configuration. The proposed approach represents both improvements from the methodological perspective, related to the modelling of spatial point process on a linear network, and from the applied perspective, given that better knowledge of the determinants of spatial intensity of visitors’ stop locations in urban contexts may orient destination management policy.

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Series Title

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Call Number

-

Publisher

Firenze University Press : Firenze University Press., 2021

Collation

oer.unej.ac.id

Language

English

ISBN/ISSN

9788855183048

Classification

NONE

Content Type

-

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Tourism

Specific Detail Info

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Statement of Responsibility

D'ANGELO, Nicoletta

Other Information

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Source

https://directory.doabooks.org/handle/20.500.12854/82472

Validator

Suwardi

Digital Object Identifier (DOI)

10.36253/978-88-5518-304-8.31

Journal Volume

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