IDEAS home Printed from https://ideas.repec.org/a/avo/emipdu/v31y2022i2p439-472.html
   My bibliography  Save this article

Transport Behaviour, Perceived Experience And Smart Technology Usage Of Tourist Destination Visitors

Author

Listed:
  • Natasa Kovacic

    (Faculty of Tourism and Hospitality Management, Croatia)

  • Tomislav Car

    (Faculty of Tourism and Hospitality Management, Croatia)

  • Ljubica Pilepić Stifanich

    (Faculty of Tourism and Hospitality Management, Croatia)

Abstract

With the purpose of establishing differences in behaviour of tourist destination visitors this paper aims to identify their habits, attitudes and activities with regard to transport modalities used on a daily basis, during the trip to the destination, and while staying in the destination, highlighting the aspect of smart technology usage. The results of this study are part of a more extensive research on the behaviour of tourist destination visitors, conducted as part of the Project Cekom – Competence Center for Smart Cities, whereby the research tools and methods were built on the ETIS (European Tourism Indicators System) methodology. Approximately seven hundred visitors of the Primorje-Gorski Kotar County, which was taken as a case study, were included in the research. The study showed that accessibility was one of the key factors in destination choice for the respondents, and that their everyday transport behaviour patterns differ somewhat from their behaviour pattern when travelling and vacationing. Statistically significant differences were determined in the perceived experience of different groups of destination visitors’, as well as in the frequency of use of smart technologies among groups of visitors with different transport behaviour. One of the research limitations with regard to generalization of conclusions is research focus on a specific destination area, as well as the pre-defined structure of the research sample, which is in line with the requirements of the funding EU project. Differences in transportation behaviour among groups of respondents in general, and in relation to the use of smart technologies, should be verified on a larger sample, in other destination areas. Acknowledging the behavioural aspects, i.e. the differences in the transport behaviour and smart technologies usage has social and practical implications for destinations, in the context of the changed dynamics in the relationships and roles of stakeholders on the tourism market.

Suggested Citation

  • Natasa Kovacic & Tomislav Car & Ljubica Pilepić Stifanich, 2022. "Transport Behaviour, Perceived Experience And Smart Technology Usage Of Tourist Destination Visitors," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 31(2), pages 439-472, december.
    • Handle: RePEc:avo:emipdu:v:31:y:2022:i:2:p:439-472
    DOI: 10.17818/EMIP/2022/2.5
    as

    Download full text from publisher

    File URL: https://hrcak.srce.hr/index.php/clanak/415998
    Download Restriction: no
    File URL: https://libkey.io/10.17818/EMIP/2022/2.5?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
    ---><---

    References listed on IDEAS

    as
    1. Luca Pappalardo & Filippo Simini & Salvatore Rinzivillo & Dino Pedreschi & Fosca Giannotti & Albert-László Barabási, 2015. "Returners and explorers dichotomy in human mobility," Nature Communications, Nature, vol. 6(1), pages 1-8, November.
    2. Laura Alessandretti & Piotr Sapiezynski & Vedran Sekara & Sune Lehmann & Andrea Baronchelli, 2018. "Evidence for a conserved quantity in human mobility," Nature Human Behaviour, Nature, vol. 2(7), pages 485-491, July.
    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. Filippo Simini & Gianni Barlacchi & Massimilano Luca & Luca Pappalardo, 2021. "A Deep Gravity model for mobility flows generation," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    2. Matteo Böhm & Mirco Nanni & Luca Pappalardo, 2022. "Gross polluters and vehicle emissions reduction," Nature Sustainability, Nature, vol. 5(8), pages 699-707, August.
    3. He, Yifan & Zhao, Chen & Zeng, An, 2022. "Ranking locations in a city via the collective home-work relations in human mobility data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    4. Xu, Paiheng & Yin, Likang & Yue, Zhongtao & Zhou, Tao, 2019. "On predictability of time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 345-351.
    5. Mohammadi, Neda & Taylor, John E., 2017. "Urban energy flux: Spatiotemporal fluctuations of building energy consumption and human mobility-driven prediction," Applied Energy, Elsevier, vol. 195(C), pages 810-818.
    6. Dong, Bing & Liu, Yapan & Fontenot, Hannah & Ouf, Mohamed & Osman, Mohamed & Chong, Adrian & Qin, Shuxu & Salim, Flora & Xue, Hao & Yan, Da & Jin, Yuan & Han, Mengjie & Zhang, Xingxing & Azar, Elie & , 2021. "Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review," Applied Energy, Elsevier, vol. 293(C).
    7. Gerardo Iñiguez & Carlos Pineda & Carlos Gershenson & Albert-László Barabási, 2022. "Dynamics of ranking," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    8. Wei, Wei & Feng, Xiangnan, 2023. "Graphical representation and hierarchical decomposition mechanism for vertex-cover solution space," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    9. Yang, Xiong & Zhuge, Chengxiang & Shao, Chunfu & Huang, Yuantan & Hayse Chiwing G. Tang, Justin & Sun, Mingdong & Wang, Pinxi & Wang, Shiqi, 2022. "Characterizing mobility patterns of private electric vehicle users with trajectory data," Applied Energy, Elsevier, vol. 321(C).
    10. Mofeng Yang & Yixuan Pan & Aref Darzi & Sepehr Ghader & Chenfeng Xiong & Lei Zhang, 2022. "A data-driven travel mode share estimation framework based on mobile device location data," Transportation, Springer, vol. 49(5), pages 1339-1383, October.
    11. Chen, Ya & Li, Xue & Zhang, Richong & Huang, Zi-Gang & Lai, Ying-Cheng, 2020. "Instantaneous success and influence promotion in cyberspace — how do they occur?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    12. Clodomir Santana & Federico Botta & Hugo Barbosa & Filippo Privitera & Ronaldo Menezes & Riccardo Di Clemente, 2023. "COVID-19 is linked to changes in the time–space dimension of human mobility," Nature Human Behaviour, Nature, vol. 7(10), pages 1729-1739, October.
    13. Wu, Wenbo & Dong, Bing & Wang, Qi (Ryan) & Kong, Meng & Yan, Da & An, Jingjing & Liu, Yapan, 2020. "A novel mobility-based approach to derive urban-scale building occupant profiles and analyze impacts on building energy consumption," Applied Energy, Elsevier, vol. 278(C).
    14. Mohammadi, Neda & Taylor, John E., 2017. "Urban infrastructure-mobility energy flux," Energy, Elsevier, vol. 140(P1), pages 716-728.
    15. Xiangyu Chang & Jingzhou Shen & Xiaoling Lu & Shuai Huang, 2018. "Statistical patterns of human mobility in emerging Bicycle Sharing Systems," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-16, March.
    16. Yang, Hu & Lv, Sirui & Guo, Bao & Dai, Jianjun & Wang, Pu, 2024. "Uncovering spatiotemporal human mobility patterns in urban agglomerations: A mobility field based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    17. Vazifeh, Mohammad M. & Zhang, Hongmou & Santi, Paolo & Ratti, Carlo, 2019. "Optimizing the deployment of electric vehicle charging stations using pervasive mobility data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 75-91.
    18. Huang, Jinyu & Chen, Chao, 2022. "Metapopulation epidemic models with a universal mobility pattern on interconnected networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 591(C).
    19. Mirzaoglu, Gulbike, 2023. "Essays in economics of crime prevention and behavior under uncertainty," Other publications TiSEM 2365661f-9f4d-4511-ad2f-6, Tilburg University, School of Economics and Management.
    20. Arcagni, Alberto & Grassi, Rosanna & Stefani, Silvana & Torriero, Anna, 2021. "Extending assortativity: An application to weighted social networks," Journal of Business Research, Elsevier, vol. 129(C), pages 774-783.

    More about this item

    Keywords

    transport behaviour; destination visitors; travel satisfaction; quality of transport services; smart technology usage;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

    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:avo:emipdu:v:31:y:2022:i:2:p:439-472. 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: Nebojsa Stojcic (email available below). General contact details of provider: https://edirc.repec.org/data/oedubhr.html .

    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.