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Traveler’s interactive decision-making behavior between itinerary and mode choice using Copula-based discrete-count joint modeling

Author

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  • Muhammad Bilal

    (Korea Advanced Institute of Science and Technology)

  • Sanghoon Son

    (Jeju Research Institute)

  • Kitae Jang

    (Korea Advanced Institute of Science and Technology)

Abstract

We analyzed the interactive nature of traveler decision-making behavior between mode choice and travel itinerary in intra-destination trips. A new methodological framework, the copula-based discrete-count joint model, was used to evaluate air arrival visitors to Jeju Island, South Korea. We modeled traveler interactive decision-making by jointly specifying the binary logit model for mode choice and the zero truncated Poisson regression model for itinerary. Seven different copula structures were applied to determine the decision order between mode choice and itinerary. The analysis results showed that travelers chose transportation mode first, prior to making a trip itinerary. The unobserved common variables between two decisions had a positive correlation, with the Student t-copula as their dependency structure. Travel characteristics were found to significantly affect both choices, except the day of the week variable. Findings of this study highlight the importance of considering the decision order for trip management in inter-regional destinations.

Suggested Citation

  • Muhammad Bilal & Sanghoon Son & Kitae Jang, 2025. "Traveler’s interactive decision-making behavior between itinerary and mode choice using Copula-based discrete-count joint modeling," Transportation, Springer, vol. 52(4), pages 1249-1266, August.
    • Handle: RePEc:kap:transp:v:52:y:2025:i:4:d:10.1007_s11116-023-10409-w
    DOI: 10.1007/s11116-023-10409-w
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    1. 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.
    2. Bhat, Chandra R. & Eluru, Naveen, 2009. "A copula-based approach to accommodate residential self-selection effects in travel behavior modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 749-765, August.
    3. Koo, Tay T.R. & Wu, Cheng-Lung & Dwyer, Larry, 2012. "Dispersal of visitors within destinations: Descriptive measures and underlying drivers," Tourism Management, Elsevier, vol. 33(5), pages 1209-1219.
    4. Nurul Habib, Khandker M. & Day, Nicholas & Miller, Eric J., 2009. "An investigation of commuting trip timing and mode choice in the Greater Toronto Area: Application of a joint discrete-continuous model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 639-653, August.
    5. A. Colin Cameron & Tong Li & Pravin K. Trivedi & David M. Zimmer, 2004. "Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 566-584, December.
    6. Genest, Christian & Nešlehová, Johanna, 2007. "A Primer on Copulas for Count Data," ASTIN Bulletin, Cambridge University Press, vol. 37(2), pages 475-515, November.
    7. Jung, Se-Yeon & Yoo, Kwang-Eui, 2014. "Passenger airline choice behavior for domestic short-haul travel in South Korea," Journal of Air Transport Management, Elsevier, vol. 38(C), pages 43-47.
    8. Rashidi, Taha Hossein & Mohammadian, Abolfazl (Kouros), 2011. "A dynamic hazard-based system of equations of vehicle ownership with endogenous long-term decision factors incorporating group decision making," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1072-1080.
    9. Bo Zhou & Bi Yang & Yi Liu, 2019. "Compatible effect or competitive effect: An investigation of attraction spatial interdependency," Tourism Economics, , vol. 25(8), pages 1182-1199, December.
    10. Bhat, Chandra R., 1997. "Work travel mode choice and number of non-work commute stops," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 41-54, February.
    11. Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.
    12. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    13. David M. Fisher & Spencer A. Wood & Young-Hee Roh & Choong-Ki Kim, 2019. "The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea," Land, MDPI, vol. 8(5), pages 1-17, April.
    14. Chung, Jin Young & Whang, Taehee, 2011. "The impact of low cost carriers on Korean Island tourism," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1335-1340.
    15. Li, Zhibin & Wang, Wei & Yang, Chen & Jiang, Guojun, 2013. "Exploring the causal relationship between bicycle choice and trip chain pattern," Transport Policy, Elsevier, vol. 29(C), pages 170-177.
    16. Margarita Genius & Elisabetta Strazzera, 2008. "Applying the copula approach to sample selection modelling," Applied Economics, Taylor & Francis Journals, vol. 40(11), pages 1443-1455.
    17. A. Colin Cameron & Tong Li & Pravin K. Trivedi & David M. Zimmer, 2004. "Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 566-584, December.
    18. Ye, Xin & Pendyala, Ram M. & Gottardi, Giovanni, 2007. "An exploration of the relationship between mode choice and complexity of trip chaining patterns," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 96-113, January.
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