IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3271-d1064778.html
   My bibliography  Save this article

Evolution of Spatial Structure of Tourist Flows for a Domestic Destination: A Case Study of Zhangjiajie, China

Author

Listed:
  • Tianzhi Liu

    (College of Forestry, Central South University of Forestry and Technology, Changsha 410018, China)

  • Fen Luo

    (College of Tourism, Central South University of Forestry and Technology, Changsha 410018, China)

  • Jiawen He

    (College of Tourism, Central South University of Forestry and Technology, Changsha 410018, China)

Abstract

Transportation facilitates the flow of tourists generating tourist flows, which produce flow effects on the spatial scale. By analyzing the evolution of tourist flows in Zhangjiajie by various modes of transportation over a long time series, the results show that the degree of development of the destination transportation network affects the dominance of the tourism node. Specifically, in the “train period”, Zhangjiajie, Changsha, Fenghuang, and Jishou core destinations become dominant with the “Matthew Effect”. In the “road period”, Jishou and Mengdonghe destinations decline, with the “Filtering Effect”. In the “high-speed railway period”, Zhangjiajie and Changsha are connected with more distant origins, and the “Diffusion Effect” occurs. It is worth noting that the development of high-speed rail has created a substitution effect for trains over long distances, and self-driving has created a substitution effect for trains over short and medium distances.

Suggested Citation

  • Tianzhi Liu & Fen Luo & Jiawen He, 2023. "Evolution of Spatial Structure of Tourist Flows for a Domestic Destination: A Case Study of Zhangjiajie, China," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3271-:d:1064778
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3271/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3271/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sihong Chen & Jianchao Xi & Menghao Liu & Tao Li, 2020. "Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways," Complexity, Hindawi, vol. 2020, pages 1-22, July.
    2. Shaw, Shih-Lung & Fang, Zhixiang & Lu, Shiwei & Tao, Ran, 2014. "Impacts of high speed rail on railroad network accessibility in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 112-122.
    3. Santos, Anabela & Cincera, Michele, 2018. "Tourism demand, low cost carriers and European institutions: The case of Brussels," Journal of Transport Geography, Elsevier, vol. 73(C), pages 163-171.
    4. 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.
    5. Rey, Belén & Myro, Rafael L. & Galera, Asun, 2011. "Effect of low-cost airlines on tourism in Spain. A dynamic panel data model," Journal of Air Transport Management, Elsevier, vol. 17(3), pages 163-167.
    6. Xia, Jianhong (Cecilia) & Zeephongsekul, Panlop & Arrowsmith, Colin, 2009. "Modelling spatio-temporal movement of tourists using finite Markov chains," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1544-1553.
    7. Liu, Liwen & Zhang, Ming, 2018. "High-speed rail impacts on travel times, accessibility, and economic productivity: A benchmarking analysis in city-cluster regions of China," Journal of Transport Geography, Elsevier, vol. 73(C), pages 25-40.
    8. Román, Concepción & Espino, Raquel & Martín, Juan Carlos, 2007. "Competition of high-speed train with air transport: The case of Madrid–Barcelona," Journal of Air Transport Management, Elsevier, vol. 13(5), pages 277-284.
    9. Chunla Liu & Yingjie Qin & Yufei Wang & Yue Yu & Guanghui Li, 2022. "Spatio-Temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Western Hunan," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    10. Lohmann, Gui & Vianna, Camila, 2016. "Air route suspension: The role of stakeholder engagement and aviation and non-aviation factors," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 199-210.
    11. 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.
    12. Carlos Moreno & Zaheer Allam & Didier Chabaud & Catherine Gall & Florent Pratlong, 2021. "Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities," Post-Print hal-03549665, HAL.
    13. Castillo-Manzano, José I. & Pozo-Barajas, Rafael & Trapero, Juan R., 2015. "Measuring the substitution effects between High Speed Rail and air transport in Spain," Journal of Transport Geography, Elsevier, vol. 43(C), pages 59-65.
    14. Kirsi Mukkala & Hannu Tervo, 2013. "Air Transportation and Regional Growth: Which Way Does the Causality Run?," Environment and Planning A, , vol. 45(6), pages 1508-1520, June.
    15. Ana-Maria Dinu, 2018. "The Importance of Transportation to Tourism Development," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 4(4), pages 183-187, December.
    16. Camille Roth & Soong Moon Kang & Michael Batty & Marc Barthélemy, 2011. "Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-8, January.
    17. Shanshan Wu & Lucang Wang & Haiyang Liu, 2021. "Study on Tourism Flow Network Patterns on May Day Holiday," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    18. Park, Sangwon & Xu, Yang & Jiang, Liu & Chen, Zhelin & Huang, Shuyi, 2020. "Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data," Annals of Tourism Research, Elsevier, vol. 84(C).
    19. Sophie Masson & Romain Petiot, 2009. "Can the high speed rail reinforce tourism attractiveness ? The case of the hagh speed rail between Perpignan (france) and Barcelona (Spain)," Post-Print hal-03062650, HAL.
    20. Lohmann, Guilherme & Albers, Sascha & Koch, Benjamin & Pavlovich, Kathryn, 2009. "From hub to tourist destination – An explorative study of Singapore and Dubai's aviation-based transformation," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 205-211.
    21. Hao Chen & Min Wang & Shanting Zheng, 2022. "Research on the Spatial Network Effect of Urban Tourism Flows from Shanghai Disneyland," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    22. Sophie Masson & Romain Petiot, 2009. "Can the High Speed Rail reinforce tourism attractiveness? The case of the High Speed Railway section between Perpignan (France) and Barcelona (Spain)," Post-Print hal-02422659, HAL.
    23. Bieger, Thomas & Wittmer, Andreas, 2006. "Air transport and tourism—Perspectives and challenges for destinations, airlines and governments," Journal of Air Transport Management, Elsevier, vol. 12(1), pages 40-46.
    24. Qian Chen & Yuzhe Bi & Jiangfeng Li, 2021. "Spatial Disparity and Influencing Factors of Coupling Coordination Development of Economy–Environment–Tourism–Traffic: A Case Study in the Middle Reaches of Yangtze River Urban Agglomerations," IJERPH, MDPI, vol. 18(15), pages 1-22, July.
    25. Pagliara, Francesca & La Pietra, Andrea & Gomez, Juan & Manuel Vassallo, José, 2015. "High Speed Rail and the tourism market: Evidence from the Madrid case study," Transport Policy, Elsevier, vol. 37(C), pages 187-194.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jianke Cheng & Liyang Hu & Jinyang Zhang & Da Lei, 2024. "Understanding the Synergistic Effects of Walking Accessibility and the Built Environment on Street Vitality in High-Speed Railway Station Areas," Sustainability, MDPI, vol. 16(13), pages 1-22, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Fengjun Tian & Yang Yang & Lan Jiang, 2022. "Spatial spillover of transport improvement on tourism growth," Tourism Economics, , vol. 28(5), pages 1416-1432, August.
    3. Daniel Albalate del sol, 2015. "Evaluating HSR availability on Tourism: Evidence from Spanish Provinces and Cities," ERSA conference papers ersa15p288, European Regional Science Association.
    4. Daniel Albalate & Javier Campos & Juan Luis Jiménez, 2015. "“Tourism and high speed rail in Spain: Does the AVE increase local visitors?”," IREA Working Papers 201527, University of Barcelona, Research Institute of Applied Economics, revised Dec 2015.
    5. Henke, Ilaria & Moyano, Amparo & Pagliara, Francesca, 2023. "Influence of high-speed rail on the decentralisation of events from big metropolitan areas to smaller intermediate cities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    6. Xinshuo Hou, 2019. "High-Speed Railway and City Tourism in China: A Quasi-Experimental Study on HSR Operation," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    7. Campa, Juan Luis & Arce, Rosa & López-Lambas, María Eugenia & Guirao, Begoña, 2018. "Can HSR improve the mobility of international tourists visiting Spain? Territorial evidence derived from the Spanish experience," Journal of Transport Geography, Elsevier, vol. 73(C), pages 94-107.
    8. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    9. Taotao Deng & Chen Gan & Yukun Hu, 2021. "Do hotel business benefit from increased tourist accessibility? Evidence from China’s high-speed railway program," Tourism Economics, , vol. 27(7), pages 1357-1374, November.
    10. Juan Luis Campa & Francesca Pagliara & María Eugenia López-Lambas & Rosa Arce & Begoña Guirao, 2019. "Impact of High-Speed Rail on Cultural Tourism Development: The Experience of the Spanish Museums and Monuments," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    11. Huang, Yan & Zong, Huiming, 2022. "The intercity railway connections in China: A comparative analysis of high-speed train and conventional train services," Transport Policy, Elsevier, vol. 120(C), pages 89-103.
    12. Mariano Gallo & Rosa Anna La Rocca, 2022. "The Impact of High-Speed Rail Systems on Tourist Attractiveness in Italy: Regression Models and Numerical Results," Sustainability, MDPI, vol. 14(21), pages 1-33, October.
    13. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    14. Yanyan Gao & Yongqing Nan & Shunfeng Song, 2022. "High‐speed rail and city tourism: Evidence from Tencent migration big data on two Chinese golden weeks," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1012-1036, September.
    15. Boto-García, David & Pérez, Levi, 2023. "The effect of high-speed rail connectivity and accessibility on tourism seasonality," Journal of Transport Geography, Elsevier, vol. 107(C).
    16. Campa, Juan Luis & López-Lambas, María Eugenia & Guirao, Begoña, 2016. "High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience," Journal of Transport Geography, Elsevier, vol. 57(C), pages 44-54.
    17. Fageda, Xavier & Jiménez, Juan Luis & Perdiguero, Jordi & Marrero, Kevin, 2017. "Does market exit of a network airline affect airline prices and frequencies on tourist routes?," Tourism Management, Elsevier, vol. 61(C), pages 465-471.
    18. Michniak Daniel, 2016. "Role of Railway Transport in Tourism: Selected Problems and Examples in Slovakia," Quaestiones Geographicae, Sciendo, vol. 35(4), pages 107-120, December.
    19. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    20. Zhiqiang Hou & Lena Jingen Liang & Bo Meng & HwanSuk Chris Choi, 2021. "The Role of Perceived Quality on High-Speed Railway Tourists’ Behavioral Intention: An Application of the Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 13(22), pages 1-15, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3271-:d:1064778. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.