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Journal Article

Citation

Kazazi J, Winkler S, Vollrath M. Transp. Res. F Traffic Psychol. Behav. 2016; 43: 1-14.

Copyright

(Copyright © 2016, Elsevier Publishing)

DOI

10.1016/j.trf.2016.09.010

PMID

unavailable

Abstract

Many severe accidents occur in urban areas. As part of the research project UR:BAN, this study investigated the causes of driver errors (e.g., inadequate attention allocation) in urban areas when turning left at intersections. As intersection accidents are especially difficult for older drivers, differences between older and younger drivers were examined as well. In a first step, accident protocols of left turn crashes with pedestrians and bicyclists were analysed in detail, since they are the most dangerous ones. Characteristics of the oncoming traffic and the location of crossing bicyclists and pedestrians were identified as possible causes. Accordingly, critical scenarios were implemented in a static driving simulator, varying the characteristics of the oncoming traffic, the direction and location of crossing vulnerable road users. These factors were examined in a within-subject design, with two different aged groups of participants (12 aged 20-35 y, 12 aged 65+ y; between-subjects factor).

The results revealed that the presence of the oncoming traffic, which was assumed to capture the drivers' attention, did not lead to more accidents with vulnerable road users. However, this may be because many drivers waited until the oncoming traffic had passed. Unexpectedly, older drivers had fewer accidents. This may be explained by the more cautious behaviour of older drivers, who drove significantly slower and waited significantly longer at the stop line before turning. Further analyses showed that a more cautious behaviour, independently of the age, predicted accident avoidance better than attention allocation. From these results, warning systems for younger and older drivers, especially for those not driving cautious, need to be developed. This idea will be tested in future studies introducing different warning concepts.

Copyright © 2016, Elsevier Ltd. All rights reserved.


Language: en

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