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Perception of Smartphone Applications About Transportation Among University Students

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Data Analytics: Paving the Way to Sustainable Urban Mobility (CSUM 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 879))

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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.

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Correspondence to Charis Chalkiadakis .

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Chalkiadakis, C., Taratori, R., Basbas, S., Politis, I. (2019). Perception of Smartphone Applications About Transportation Among University Students. In: Nathanail, E., Karakikes, I. (eds) Data Analytics: Paving the Way to Sustainable Urban Mobility. CSUM 2018. Advances in Intelligent Systems and Computing, vol 879. Springer, Cham. https://doi.org/10.1007/978-3-030-02305-8_24

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  • DOI: https://doi.org/10.1007/978-3-030-02305-8_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02304-1

  • Online ISBN: 978-3-030-02305-8

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