IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03093-3.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03093-3
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-024-03093-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    11. Reginald G. Golledge, 1978. "Representing, Interpreting, And Using Cognized Environments," Papers in Regional Science, Wiley Blackwell, vol. 41(1), pages 169-204, January.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    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. Alessandro Crivellari & Euro Beinat, 2020. "LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    2. Iago Lestegás & João Seixas & Rubén-Camilo Lois-González, 2019. "Commodifying Lisbon: A Study on the Spatial Concentration of Short-Term Rentals," Social Sciences, MDPI, vol. 8(2), pages 1-15, January.
    3. Cheng Shi & Yujia Zhai & Dongying Li, 2023. "Urban tourists’ spatial distribution and subgroup identification in a metropolis --the examination applying mobile signaling data and latent profile analysis," Information Technology & Tourism, Springer, vol. 25(3), pages 453-476, September.
    4. Carlos Martínez-Hernández & Claudia Yubero, 2019. "Explaining Urban Sustainability to Teachers in Training through a Geographical Analysis of Tourism Gentrification in Europe," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    5. María García-Hernández & Manuel De la Calle-Vaquero & Claudia Yubero, 2017. "Cultural Heritage and Urban Tourism: Historic City Centres under Pressure," Sustainability, MDPI, vol. 9(8), pages 1-19, August.
    6. Koun Sugimoto & Kei Ota & Shohei Suzuki, 2019. "Visitor Mobility and Spatial Structure in a Local Urban Tourism Destination: GPS Tracking and Network analysis," Sustainability, MDPI, vol. 11(3), pages 1-17, February.
    7. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).
    8. Zheng, Weimin & Huang, Xiaoting & Li, Yuan, 2017. "Understanding the tourist mobility using GPS: Where is the next place?," Tourism Management, Elsevier, vol. 59(C), pages 267-280.
    9. Masiero, Lorenzo & Hrankai, Richard, 2022. "Modeling tourist accessibility to peripheral attractions," Annals of Tourism Research, Elsevier, vol. 92(C).
    10. Junwei Ma & Bo Li & Ali Mostafavi, 2024. "Characterizing urban lifestyle signatures using motif properties in network of places," Environment and Planning B, , vol. 51(4), pages 889-903, May.
    11. Saretzki Anja, 2018. "Städtische Raumproduktion durch touristische Praktiken," Zeitschrift für Tourismuswissenschaft, De Gruyter, vol. 10(1), pages 7-27, May.
    12. Mariusz Szubert & Witold Warcholik & Michał Żemła, 2021. "The Influence of Elements of Cultural Heritage on the Image of Destinations, Using Four Polish Cities as an Example," Land, MDPI, vol. 10(7), pages 1-21, June.
    13. Angela Chantre-Astaiza & Laura Fuentes-Moraleda & Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez, 2019. "Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    14. Cohen, Scott A. & Hopkins, Debbie, 2019. "Autonomous vehicles and the future of urban tourism," Annals of Tourism Research, Elsevier, vol. 74(C), pages 33-42.
    15. Jose Antonio Fernández Gallardo & Jose María Caridad y Ocerín & María Genoveva Millán Vázquez de la Torre, 2019. "Evaluation of the Reception Capacity of a Certain Area Regarding Tourist Housing, Addressing Sustainable-Tourism Criteria," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    16. Jeong-Hui Park & Eunhye Yoo & Youngdeok Kim & Jung-Min Lee, 2021. "What Happened Pre- and during COVID-19 in South Korea? Comparing Physical Activity, Sleep Time, and Body Weight Status," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    17. Matteo Böhm & Mirco Nanni & Luca Pappalardo, 2022. "Gross polluters and vehicle emissions reduction," Nature Sustainability, Nature, vol. 5(8), pages 699-707, August.
    18. David Kofoed Wind & Piotr Sapiezynski & Magdalena Anna Furman & Sune Lehmann, 2016. "Inferring Stop-Locations from WiFi," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-15, February.
    19. Zhou, Xingang & Yeh, Anthony G.O. & Yue, Yang, 2018. "Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data," Journal of Transport Geography, Elsevier, vol. 68(C), pages 102-108.
    20. Mariani, Marcello M. & Giorgio, Luisa, 2017. "The “Pink Night” festival revisited: Meta-events and the role of destination partnerships in staging event tourism," Annals of Tourism Research, Elsevier, vol. 62(C), pages 89-109.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03093-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.