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Examining Interrelationships between Tourist Travel Mode and Trip Chain Choices Using the Nested Logit Model

Author

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  • Cong Qi

    (School of Transportation, Southeast University, No.2 Dongnandaxue Road, Nanjing 211189, China)

  • Zhenjun Zhu

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, No.159 Longpan Road, Nanjing 210037, China)

  • Xiucheng Guo

    (School of Transportation, Southeast University, No.2 Dongnandaxue Road, Nanjing 211189, China)

  • Ruiying Lu

    (School of Transportation, Southeast University, No.2 Dongnandaxue Road, Nanjing 211189, China)

  • Junlan Chen

    (School of Transportation, Southeast University, No.2 Dongnandaxue Road, Nanjing 211189, China)

Abstract

As tourism grows, determining methods to ease traffic problems as a result of domestic tourism holidays has become a central issue in traffic planning and management. Trip chain and travel mode choices as well as their interplays are crucial in analysing and understanding the travel behaviour of tourists, which can help to address these problems. Therefore, this study explored the relationship between destination transportation modes and trip chain choices using nested logit models wherein two nest structures were used to analyse the decision processes of travellers. Empirical analysis confirmed the effectiveness of the rational model using survey data collected from 350 respondents in Nanjing, China in 2020. The results showed that tourists preferred deciding on the trip chain prior to the travel mode, and higher time and costs were acceptable when tourists selected a complex trip chain with tour activities. Moreover, non-local tourists owning a driver’s licence, travelling with companions, and staying for longer periods were more likely to use public transport with trip chains comprising tour activities; however, the relationship for trip chains with non-tour activities was the reverse. These findings are valuable for designing effective transport management strategies to ease traffic during holiday periods.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7535-:d:412755
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    References listed on IDEAS

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    2. Yuan Yuan & Chunfu Shao & Zhichao Cao & Chaoying Yin, 2023. "The Effect of Travel-Chain Complexity on Public Transport Travel Intention: A Mixed-Selection Model," IJERPH, MDPI, vol. 20(5), pages 1-29, March.
    3. 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).
    4. Yuanyuan Mao & Xiyuan Ren & Ling Yin & Qingying Sun & Ke Song & De Wang, 2021. "Investigating Tourists’ Willingness to Walk (WTW) to Attractions within Scenic Areas: A Case Study of Tongli Ancient Town, China," Sustainability, MDPI, vol. 13(23), pages 1-15, November.

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