Abstract
Students’ behavior and perceptions at pedestrian crossings is investigated in the framework of the present paper. The research concerns five pedestrian crossings at signalized intersections which are located in the road network around the Aristotle University of Thessaloniki. A total number of 500 questionnaires addressed to students using the specific crossings were collected during spring 2013. In addition, counts concerning pedestrian flows were made as well as pedestrians’ observations regarding their distraction while they were using the crossing. Moreover, traffic data, such as volume and free flow speed, used for the statistical analysis. Descriptive statistics used in order to describe pedestrians’ behavior and views towards the specific pedestrian crossings, while inferential statistics aim to identify pedestrian crossings’ characteristics and pedestrians’ characteristics which affect their habits and perceptions. Statistical analysis concludes with the development of a binary logit model which aims to quantify the impact of specific parameters on pedestrians’ opinion about the sufficiency of green light duration.
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Basbas, S., Nikiforiadis, A., Sarafianou, E., Kolonas, N. (2019). Behavior and Perceptions of University Students at Pedestrian Crossings. 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_34
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DOI: https://doi.org/10.1007/978-3-030-02305-8_34
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