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Effects of High-Speed Rail on Sustainable Development of Urban Tourism: Evidence from Discrete Choice Model of Chinese Tourists’ Preference for City Destinations

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  • Weiwei Zhang

    (School of Business, Xiangtan University, Xiangtan 410005, China)

  • Lingling Jiang

    (School of Business, Xiangtan University, Xiangtan 410005, China)

Abstract

In China, the opening of high-speed rails (HSR) brings significant changes to the source-destination spatial distance, the accessibility of destinations, and the spatial structure of tourist flows in each region, exerting varied HSR effects on different types of cities. Against this backdrop, it is meaningful to deeply explore tourists’ preference for city destinations in the light of HSR effects. The exploration could contribute greatly to the planning, marketing, management, and sustainable development of urban tourism. This paper takes Xiangtan and Yueyang as typical cases of the diffusion effect and the corridor effect of HSR. Firstly, the factors affecting destination choice were identified, and the attribute levels were configured, forming multiple virtual alternatives. Next, questionnaire surveys were carried out to collect tourists’ selections between each pair of alternatives. Further, a discrete choice model was constructed to assign a weight to each factor, reflecting its importance to tourists’ decision-making regarding their destination selection and to disclose the law of tourists’ preferences for destinations. The results showed that (1) Under the HSR diffusion effect, the top three factors affecting tourists’ preference for destinations in Xiangtan are convenience, connection time, and popularity; under HSR corridor effect, the top three factors affecting the tourists’ preference for destinations in Yueyang are reputation, convenience, and leisure and reception facilities (LRFs). (2) The destination preference is closely associated with personal features like gender, income, occupation, and fellow travelers. Tourists with different personal features give different attention to the various influencing factors. The research findings provide a reference for the sustainable development of urban tourism.

Suggested Citation

  • Weiwei Zhang & Lingling Jiang, 2021. "Effects of High-Speed Rail on Sustainable Development of Urban Tourism: Evidence from Discrete Choice Model of Chinese Tourists’ Preference for City Destinations," Sustainability, MDPI, vol. 13(19), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10647-:d:642831
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    1. Tomoru Hiramatsu, 2018. "Unequal regional impacts of high speed rail on the tourism industry: a simulation analysis of the effects of Kyushu Shinkansen," Transportation, Springer, vol. 45(2), pages 677-701, March.
    2. Orsi, Francesco & Geneletti, Davide, 2014. "Assessing the effects of access policies on travel mode choices in an Alpine tourist destination," Journal of Transport Geography, Elsevier, vol. 39(C), pages 21-35.
    3. Albalate, Daniel & Fageda, Xavier, 2016. "High speed rail and tourism: Empirical evidence from Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 174-185.
    4. Min-Yen Chang & Yi-Sheng Hsu & Han-Shen Chen, 2021. "Choice Experiment Method for Sustainable Tourism in Theme Parks," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    5. Lorenzo Masiero & Juan L. Nicolau, 2011. "Finding similar price preferences on tourism activities," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1102, USI Università della Svizzera italiana.
    6. Andersson, David Emanuel & Shyr, Oliver F. & Fu, Johnson, 2010. "Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan," Journal of Transport Geography, Elsevier, vol. 18(1), pages 166-174.
    7. Román, Concepción & Martín, Juan Carlos, 2016. "Hotel attributes: Asymmetries in guest payments and gains – A stated preference approach," Tourism Management, Elsevier, vol. 52(C), pages 488-497.
    8. Wang, Tao & Tang, Tie-Qiao & Chen, Liang & Huang, Hai-Jun, 2019. "Analysis of trip cost allowing late arrival in a traffic corridor with one entry and one exit under car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 387-398.
    9. Jaume Rosselló & Maria Santana-Gallego, 2014. "Recent trends in international tourist climate preferences: a revised picture for climatic change scenarios," Climatic Change, Springer, vol. 124(1), pages 119-132, May.
    10. 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).
    11. Yao Sun & Hang Ma & Edwin H. W. Chan, 2017. "A Model to Measure Tourist Preference toward Scenic Spots Based on Social Media Data: A Case of Dapeng in China," Sustainability, MDPI, vol. 10(1), pages 1-13, December.
    12. Lukrecija Djeri & Tanja Armenski & Tamara Jovanović & Aleksandra Dragin, 2014. "How income influences the choice of tourism destination?," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 64(2), pages 219-237, June.
    13. Diana E. Dumitras & Iulia C. Muresan & Ionel M. Jitea & Valentin C. Mihai & Simona E. Balazs & Tiberiu Iancu, 2017. "Assessing Tourists’ Preferences for Recreational Trips in National and Natural Parks as a Premise for Long-Term Sustainable Management Plans," Sustainability, MDPI, vol. 9(9), pages 1-15, September.
    14. Rong-Chang Jou & Ke-Hong Chen, 2020. "The Relationship between High Speed Rail and Tourism," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    15. Tami L. Mark & Joffre Swait, 2004. "Using stated preference and revealed preference modeling to evaluate prescribing decisions," Health Economics, John Wiley & Sons, Ltd., vol. 13(6), pages 563-573, June.
    16. Onofri, Laura & Nunes, Paulo A.L.D., 2013. "Beach ‘lovers’ and ‘greens’: A worldwide empirical analysis of coastal tourism," Ecological Economics, Elsevier, vol. 88(C), pages 49-56.
    17. James Nolan & Pamela Ritchie & John Rowcroft, 2005. "Small Market Air Service and Regional Policy," Journal of Transport Economics and Policy, University of Bath, vol. 39(3), pages 363-378, September.
    18. Koo, Tay T.R. & Hossein Rashidi, Taha & Park, Jin-Woo & Wu, Cheng-Lung & Tseng, Wen-Chun, 2017. "The effect of enhanced international air access on the demand for peripheral tourism destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 116-129.
    19. Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
    20. Lorenzo Masiero & Juan L. Nicolau, 2016. "Choice behaviour in online hotel booking," Tourism Economics, , vol. 22(3), pages 671-678, June.
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    1. Tianjiao Zhao & Xiang Xiao & Qinghui Dai, 2021. "Transportation Infrastructure Construction and High-Quality Development of Enterprises: Evidence from the Quasi-Natural Experiment of High-Speed Railway Opening in China," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    2. Yanan Li & Sid Terason, 2023. "Configuring the Pattern of Sustainable Tourism Development as Affected by the Construction of a High-Speed Railway System," SAGE Open, , vol. 13(3), pages 21582440231, July.
    3. Guiling Wang & Yuenan Meng, 2023. "The Clustering Characteristics and Driving Mechanisms of Tourist Preference for 5A Scenic Spots from the Dynamic Spatio-Temporal Perspective: A Case of Jiangsu in Eastern Coastal Area of China," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    4. Chuanchuan Yuan & Li Gan & Huili Zhuo, 2022. "Coupling Mechanisms and Development Patterns of Revitalizing Intangible Cultural Heritage by Integrating Cultural Tourism: The Case of Hunan Province, China," Sustainability, MDPI, vol. 14(12), pages 1-16, June.

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