This article examines a specific aspect of e-payment: e-ticketing in public transport. The reference area is the campus of the aristotle University of Thessaloniki, which is the largest university in greece with more than 73,000 students. The target group was the students of the university campus. The methodology used included a stated preference survey which took place in may 2015. During the survey 300 questionnaires were collected and analysed using descriptive and inferential statistics. In addition, a binary logistics model was developed, analysing the intention of the students to use the e-ticketing system, which is under examination for the city of Thessaloniki. From the analysis, it was found that more than 86.7% of the students would be willing to use e-ticketing in public transport. They consider time saving as the most important reason for someone to use e-ticketing. An interesting finding is that 64.2% of the students would like to use their smart cards or cell phones not just for e-ticketing but also for other applications. The binary logistics model has pointed out that age, gender, car availability and familiarity with e-booking are statistically important factors for the students’ intention to use the e-ticketing system.
binary regression, descriptive and inferential analysis, electronic ticketing, public transport, university students
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