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Analysis of Pedestrian Road Crossing Behaviour in Urban Areas

Analysis of Pedestrian Road Crossing Behaviour in Urban Areas

Eleonora Papadimitriou, George Yannis, John Golias
Copyright: © 2014 |Volume: 5 |Issue: 2 |Pages: 16
ISSN: 1947-9328|EISSN: 1947-9336|EISBN13: 9781466656024|DOI: 10.4018/ijoris.2014040103
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MLA

Papadimitriou, Eleonora, et al. "Analysis of Pedestrian Road Crossing Behaviour in Urban Areas." IJORIS vol.5, no.2 2014: pp.40-55. http://doi.org/10.4018/ijoris.2014040103

APA

Papadimitriou, E., Yannis, G., & Golias, J. (2014). Analysis of Pedestrian Road Crossing Behaviour in Urban Areas. International Journal of Operations Research and Information Systems (IJORIS), 5(2), 40-55. http://doi.org/10.4018/ijoris.2014040103

Chicago

Papadimitriou, Eleonora, George Yannis, and John Golias. "Analysis of Pedestrian Road Crossing Behaviour in Urban Areas," International Journal of Operations Research and Information Systems (IJORIS) 5, no.2: 40-55. http://doi.org/10.4018/ijoris.2014040103

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Abstract

The objective of this research is the analysis of pedestrians behaviour along entire trips in urban road networks, with focus on their interaction with the traffic and the road environment while crossing roads. For this purpose, a special field survey was designed and carried out, which involved the recording of pedestrians road crossing behaviour along entire trips in real time by means of camera in motion at the centre of Athens, Greece. Based on the results of the field survey, an analysis of road crossing behaviour of pedestrians is presented, concerning characteristics of the trips, the pedestrians, the road environment and the traffic conditions. The results indicate that basic parameters of pedestrian trips (i.e. trip length, walking speed, number of crossings) can be described by appropriate probability distributions. They also reveal a tendency of pedestrians to cross either in the beginning or in the end of the trip, an increased probability of crossing at signalized junctions when these are available, and increased probability of crossing at mid-block in low traffic volume and on one-way roads. Furthermore, there is an overall tendency of pedestrians cross to at mid-block when the road and traffic conditions are favourable. On the contrary, more traffic lanes and increased traffic volume appear to discourage pedestrians from accepting important interaction with the vehicles and to lead them towards the choice of protected crossing locations. The proposed data collection method and the results of the analysis can be exploited in further research for the development of models of pedestrian crossing behaviour along entire trips in urban areas.

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