Statistical Computation of the Effect of Using Mobile Applications as a Travel Information Tool

  • Huseyin BicenEmail author
  • Ahmet Arnavut
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)


Today, mobile users have many advantages in terms of communication and many other aspects, and they are able to make plans through applications on their mobile devices. Consequently, many applications have been developed for travel purposes. In particular, applications called peer-to-peer accommodation rentals such as Airbnb allow people to rent their property to tourists who intend to visit their country. Through the UBER application, it is possible to communicate through a smart device with the nearest available driver using GPS and subsequently obtain services. By using social media applications, individuals are now also influenced by the travel plans of the people they follow. In this study, the aim is to examine student opinions about how mobile applications will have an impact if used in terms of information and travel planning. Even though these devices play an important role in the lives of the 123 students participating in the study, they are hesitant in using the mobile applications related to travelling. This means that if users are trained in the use of secure mobile applications, they will have the opportunity to take advantage of these applications more easily. The study was a quantitative study and data analysis was performed with the SPSS program. The data were analyzed and interpreted by tabulating frequency, percentages, and Anova tests. Future studies will provide training for students on the advantages and disadvantages of applications used for travel and how they can be used safely.


Statistical computation Mobile applications Information 


  1. 1.
    Cavus, N.: Investigating mobile devices and LMS integration in higher education: Student perspectives. Procedia Comput. Sci. 3, 1469–1474 (2011). Scholar
  2. 2.
    Chan, J.W., Chang, V.L., Lau, W.K., Law, L.K., Lei, C.J.: Taxi app market analysis in Hong Kong. J. Econ. Bus. Manage. 4(3), 239–242 (2016). Scholar
  3. 3.
    Cheng, M.: Sharing economy: a review and agenda for future research. Int. J. Hosp. Manage. 57, 60–70 (2016)CrossRefGoogle Scholar
  4. 4.
    Garg, R., Telang, R.: Inferring app demand from publicly available data. MIS Q. (2012)Google Scholar
  5. 5.
    Jong, G.D., Behrens, C., Ommeren, J.V.: Airline loyalty (programs) across borders: a geographic discontinuity approach. Int. J. Ind. Organ. (2018). Scholar
  6. 6.
    Martin-Fuentes, E., Fernandez, C., Mateu, C., Marine-Roig, E.: Modelling a grading scheme for peer-to-peer accommodation: Stars for Airbnb. Int. J. Hosp. Manage. 69, 75–83 (2018). Scholar
  7. 7.
    Mukhina, K.D., Rakitin, S.V., Visheratin, A.A.: Detection of tourists attraction points using Instagram profiles. Procedia Comput. Sci. 108, 2378–2382 (2017). Scholar
  8. 8.
    Pew: Mobile fact sheet (2017). Accessed May 2018 from Pew Research Center
  9. 9.
    Sigala, M.: Collaborative commerce in tourism: implications for research and industry. Curr. Issues Tour. 20(4), 346–355 (2015). Scholar
  10. 10.
    Tussyadiah, I.P., Pesonen, J.: Drivers and barriers of peer-to-peer accommodation stay – an exploratory study with American and Finnish travellers. Curr. Issues Tour. 21(6), 703–720 (2016). Scholar
  11. 11.
    WARC: 5.5bn people will use mobile devices by 2022, WARC (2017). Accessed 30 May 2018
  12. 12.
    Weng, G.S., Zailani, S., Iranmanesh, M., Hyun, S.S.: Mobile taxi booking application service’s continuance usage intention by users. Transp. Res. Part D: Transp. Environ. 57, 207–216 (2017). Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Near East UniversityNicosiaCyprus

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