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Tourists' travel mode and length of stay: Application of a fully nested Archimedean copula structure.
- Source :
-
Transportation Research Part A: Policy & Practice . Jun2023, Vol. 172, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- Tourism decisions are interdependent of one another. This study aims to explore the interrelations among three pertinent tourism choices, i.e., travel season, transport mode and length of stay, from a data-driven perspective. To achieve a joint model of three travel behavioural decisions, this paper adopts a Frank-type fully nested Archimedean copula function, which is capable of efficiently incorporating a logistic regression model, a multinomial logit model and a lognormal accelerated failure time model. Then, we empirically evaluate the proposed model framework using single-destination Sydney-based trip-level data collected in 2017–2018. Gumbel, Clayton and Frank copula results are compared. To illustrate its application, the modelling results are used to build a simulated COVID-19 pandemic scenario according to the social distancing restrictions within New South Wales, Australia, and a three-dimensional elasticity analysis for trip destinations is performed. The findings suggest the model provides nuanced insights into simulating tourist behaviours and transport policy appraisal aimed at tourism recovery or/and development. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09658564
- Volume :
- 172
- Database :
- Academic Search Index
- Journal :
- Transportation Research Part A: Policy & Practice
- Publication Type :
- Academic Journal
- Accession number :
- 163716850
- Full Text :
- https://doi.org/10.1016/j.tra.2023.103678