Advertisement

Perception of Smartphone Applications About Transportation Among University Students

  • Charis ChalkiadakisEmail author
  • Rallou Taratori
  • Socrates Basbas
  • Ioannis Politis
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 879)

Abstract

This paper aims to examine the extent to which student population of the Aristotle University of Thessaloniki (AUTh) is familiar and uses smartphone applications for the facilitation of their trips. To reach the final results and draw the respective conclusions, three main methodological steps were followed.

The first step includes the literature review, where a number of reports and papers were thoroughly examined for the better research’s topic understanding.

The second step was the design of the questionnaire and the conduction of the survey. Based on the studied bibliography, a questionnaire which consisted of three main sections was designed in such way for drawing as much useful information as possible. Afterwards, the questionnaires were distributed and answered by AUTh students.

The final step was the statistical analysis of the results of the survey. The extracted data from 300 questionnaires were encoded and imported in the IBM SPSS Statistics software for descriptive statistical analysis. In the framework of this research, it was possible to identify the extent to which university students use the smartphone applications about transportation. In addition, the frequency of use of the applications as well as the usefulness of these applications was examined. Moreover, the results revealed the smartphones applications’ prospect to change and shape mobility behavior. The findings suggest the great extent to which mobile applications on transportation are used and the role they play to make university students’ trips easier and more efficient.

Keywords

Smartphone applications in transport University students Mobile applications in transport Smartphone usage Mobility of university students 

References

  1. 1.
    Dutzik, T., Madsen, T., Baxandall, P.: A New Way to Go: The Transportation Apps and Vehicle-Sharing Tools that are Giving More Americans the Freedom to Drive Less, p. 54 (2013)Google Scholar
  2. 2.
    EMarketer: Smartphone users worldwide 2014–2019 (2016). Accessed 21 Jan 2018Google Scholar
  3. 3.
    Statista: Number of smartphone users worldwide 2014–2020|Statista. Statista 2019–2021 (2017)Google Scholar
  4. 4.
    Aljomaa, S.S., Mohammad, M.F., Albursan, I.S., Bakhiet, S.F., Abduljabbar, A.S.: Smartphone addiction among university students in the light of some variables. Comput. Hum. Behav. 61, 155–164 (2016).  https://doi.org/10.1016/j.chb.2016.03.041
  5. 5.
    App Store. https://itunes.apple.com/us/genre/ios/id36?mt=8. Accessed 21 Jan 2018
  6. 6.
    Play Store. https://play.google.com/store/apps?hl=el. Accessed 21 Jan 2018
  7. 7.
    Siuhi, S., Mwakalonge, J.: Opportunities and challenges of smart mobile applications in transportation. J Traffic Transp. Eng. (English edn.) 3, 582–592 (2016).  https://doi.org/10.1016/j.jtte.2016.11.001
  8. 8.
    Shaheen, S., Cohen, A., Zohd, I., Kock, B.: Smartphone Applications To Influence Travel Choices: Practices and Policies. Washington, DC (2016)Google Scholar
  9. 9.
    Politis, I., Papaioannou, P., Basbas, S., Dimitriadis, N.: Evaluation of a bus passenger information system from the users’ point of view in the city of Thessaloniki. Greece. Res. Transp. Econ. 29, 249–255 (2010).  https://doi.org/10.1016/j.retrec.2010.07.031CrossRefGoogle Scholar
  10. 10.
    Anderson, M., Smith, A.: The smartphone: An essential travel guide|Pew Research Center 2015–2018 (2015)Google Scholar
  11. 11.
    Khoo, H.L., Asitha, K.S.: User requirements and route choice response to smart phone traffic applications (apps). Travel Behav. Soc. 3, 59–70 (2016).  https://doi.org/10.1016/j.tbs.2015.08.004CrossRefGoogle Scholar
  12. 12.
    Feng, C.M.: New prospects of transportation mobility. IATSS Res. 38, 22–26 (2014).  https://doi.org/10.1016/j.iatssr.2014.05.005CrossRefGoogle Scholar
  13. 13.
    Pouliasis, M., Politis, I.: Social media data mining at mobility and transport domain. In: Proceedings of the 7th International Congress of Transportation Research in Greece (2017)Google Scholar
  14. 14.
    Chalkiadakis, C., Taratori, R.: Evaluation of the use of smartphones’ applications about transportation, by the students of the Aristotle University of Thessaloniki. Diploma Thesis, Supervisor: S. Basbas, School of Rural & Surveying Engineering, Aristotle University of Thessaloniki (2017)Google Scholar
  15. 15.
    IBM SPSS Statistics. https://www.ibm.com/products/spss-statistics. Accessed 21 Jan 2018

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Charis Chalkiadakis
    • 1
  • Rallou Taratori
    • 2
  • Socrates Basbas
    • 2
  • Ioannis Politis
    • 3
  1. 1.Hellenic Institute of Transport - Centre for Research and Technology HellasThermi, ThessalonikiGreece
  2. 2.Aristotle University of Thessaloniki, School of Rural and Surveying EngineeringThessalonikiGreece
  3. 3.Aristotle University of Thessaloniki, School of Civil EngineeringThessalonikiGreece

Personalised recommendations