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Tourists’ travel mode and length of stay: Application of a fully nested Archimedean copula structure

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  • Li, Xinming
  • Hossein Rashidi, Taha
  • Koo, Tay T.R.

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.

Suggested Citation

  • Li, Xinming & Hossein Rashidi, Taha & Koo, Tay T.R., 2023. "Tourists’ travel mode and length of stay: Application of a fully nested Archimedean copula structure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:transa:v:172:y:2023:i:c:s0965856423000988
    DOI: 10.1016/j.tra.2023.103678
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    1. Caleb Van Nostrand & Vijayaraghavan Sivaraman & Abdul Pinjari, 2013. "Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework," Transportation, Springer, vol. 40(1), pages 151-171, January.
    2. Koo, Tay T.R. & Wu, Cheng-Lung (Richard) & Dwyer, Larry, 2010. "Ground travel mode choices of air arrivals at regional destinations: The significance of tourism attributes and destination contexts," Research in Transportation Economics, Elsevier, vol. 26(1), pages 44-53.
    3. Hofert, Marius & Maechler, Martin, 2011. "Nested Archimedean Copulas Meet R: The nacopula Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 39(i09).
    4. Diego Maria Barbieri & Baowen Lou & Marco Passavanti & Cang Hui & Inge Hoff & Daniela Antunes Lessa & Gaurav Sikka & Kevin Chang & Akshay Gupta & Kevin Fang & Arunabha Banerjee & Brij Maharaj & Louisa, 2021. "Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-18, February.
    5. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    6. Tang, Xinyi & Wang, Dianhai & Sun, Yilin & Chen, Mengwei & Waygood, E. Owen D., 2020. "Choice behavior of tourism destination and travel mode: A case study of local residents in Hangzhou, China," Journal of Transport Geography, Elsevier, vol. 89(C).
    7. Cong Qi & Zhenjun Zhu & Xiucheng Guo & Ruiying Lu & Junlan Chen, 2020. "Examining Interrelationships between Tourist Travel Mode and Trip Chain Choices Using the Nested Logit Model," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    8. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    9. Kjersti Aas & Daniel Berg, 2009. "Models for construction of multivariate dependence - a comparison study," The European Journal of Finance, Taylor & Francis Journals, vol. 15(7-8), pages 639-659.
    10. Rashidi, Taha H. & Koo, Tay T.R., 2016. "An analysis on travel party composition and expenditure: a discrete-continuous model," Annals of Tourism Research, Elsevier, vol. 56(C), pages 48-64.
    11. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2015. "The influence of weather characteristics variability on individual’s travel mode choice in different seasons and regions in Sweden," Transport Policy, Elsevier, vol. 41(C), pages 147-158.
    12. Christer Thrane, 2015. "Research Note: The Determinants of Tourists' Length of Stay: Some Further Modelling Issues," Tourism Economics, , vol. 21(5), pages 1087-1093, October.
    13. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    14. Zhang, Hui & Zhang, Junyi & Kuwano, Masashi, 2012. "An integrated model of tourists’ time use and expenditure behaviour with self-selection based on a fully nested Archimedean copula function," Tourism Management, Elsevier, vol. 33(6), pages 1562-1573.
    15. Thrane, Christer, 2016. "Students' summer tourism: Determinants of length of stay (LOS)," Tourism Management, Elsevier, vol. 54(C), pages 178-184.
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