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Understanding attractions’ connection patterns based on intra-destination tourist mobility: A network motif approach

Author

Listed:
  • Ding Ding

    (Peking University
    Southwest United Graduate School)

  • Yunhao Zheng

    (Peking University
    Southwest United Graduate School)

  • Yi Zhang

    (Peking University
    Southwest United Graduate School)

  • Yu Liu

    (Peking University
    Southwest United Graduate School)

Abstract

Tourist movement patterns among attractions are complex and variable, and understanding such patterns can help manage tourist destinations more effectively. However, previous studies on tourist movement utilising complex networks have not explored the network motif approach comprehensively. Therefore, we adopted a network motif approach using social media data to extract and analyse motifs in a city network. This study analyses the attractions corresponding to the nodes in each motif, revealing the connection patterns between these attractions. We also discuss motifs between attractions with different types and titles. Popular attractions play a significant role in a local network while other attractions serve distinct functions within the network. This study’s findings enhance the significance of network motifs in examining tourist movement and deepen the understanding of recurring movement patterns between attractions. Moreover, they assist managers in developing policy tools for intelligent tourism destination marketing and planning that cater to tourists’ needs.

Suggested Citation

  • Ding Ding & Yunhao Zheng & Yi Zhang & Yu Liu, 2024. "Understanding attractions’ connection patterns based on intra-destination tourist mobility: A network motif approach," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03093-3
    DOI: 10.1057/s41599-024-03093-3
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    1. Ashworth, Gregory & Page, Stephen J., 2011. "Urban tourism research: Recent progress and current paradoxes," Tourism Management, Elsevier, vol. 32(1), pages 1-15.
    2. Xue, Lan & Zhang, Yi, 2020. "The effect of distance on tourist behavior: A study based on social media data," Annals of Tourism Research, Elsevier, vol. 82(C).
    3. Reginald G. Golledge, 1978. "Representing, Interpreting, And Using Cognized Environments," Papers in Regional Science, Wiley Blackwell, vol. 41(1), pages 169-204, January.
    4. Chao Fan & Yang Yang & Ali Mostafavi, 2024. "Neural embeddings of urban big data reveal spatial structures in cities," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    5. Hardy, Anne & Birenboim, Amit & Wells, Martha, 2020. "Using geoinformatics to assess tourist dispersal at the state level," Annals of Tourism Research, Elsevier, vol. 82(C).
    6. Chung-Ming Chuang, 2023. "The conceptualization of smart tourism service platforms on tourist value co-creation behaviours: an integrative perspective of smart tourism services," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    7. Pablo Juan Cárdenas-García & Juan Gabriel Brida & Verónica Segarra, 2024. "Modeling the link between tourism and economic development: evidence from homogeneous panels of countries," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    8. Stienmetz, Jason L. & Fesenmaier, Daniel R., 2015. "Estimating value in Baltimore, Maryland: An attractions network analysis," Tourism Management, Elsevier, vol. 50(C), pages 238-252.
    9. Satyaki Roy & Ahmad F. Al Musawi & Preetam Ghosh, 2023. "Inferring links in directed complex networks through feed forward loop motifs," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    10. 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.
    11. Henning Füller & Boris Michel, 2014. "‘Stop Being a Tourist!’ New Dynamics of Urban Tourism in Berlin-Kreuzberg," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 38(4), pages 1304-1318, July.
    12. Xing Su & Bas Spierings & Martin Dijst & Ziqi Tong, 2020. "Analysing trends in the spatio-temporal behaviour patterns of mainland Chinese tourists and residents in Hong Kong based on Weibo data," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(12), pages 1542-1558, June.
    13. Beiqi Shi & Jinlin Zhao & Po-Ju Chen, 2017. "Exploring urban tourism crowding in Shanghai via crowdsourcing geospatial data," Current Issues in Tourism, Taylor & Francis Journals, vol. 20(11), pages 1186-1209, August.
    14. Jinzhou Cao & Qingquan Li & Wei Tu & Feilong Wang, 2019. "Characterizing preferred motif choices and distance impacts," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-17, April.
    15. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    16. Ha Thi Thu Nguyen & Trung Xuan Nguyen, 2023. "Understanding customer experience with Vietnamese hotels by analyzing online reviews," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    17. Xia, Jianhong (Cecilia) & Zeephongsekul, Panlop & Packer, David, 2011. "Spatial and temporal modelling of tourist movements using Semi-Markov processes," Tourism Management, Elsevier, vol. 32(4), pages 844-851.
    18. Liu, Bing & Huang, Songshan (Sam) & Fu, Hui, 2017. "An application of network analysis on tourist attractions: The case of Xinjiang, China," Tourism Management, Elsevier, vol. 58(C), pages 132-141.
    19. Vu, Huy Quan & Li, Gang & Law, Rob & Ye, Ben Haobin, 2015. "Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos," Tourism Management, Elsevier, vol. 46(C), pages 222-232.
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