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Contextual factors explaining risk-taking intentions at Australian level crossings
Journal article   Peer reviewed

Contextual factors explaining risk-taking intentions at Australian level crossings

Teodora Stefanova, Óscar Oviedo-Trespalacios, James E Freeman, Christian Wullems, Andry Rakotonirainy, Jean-Marie Burkhardt and Patricia Delhomme
Safety Science, Vol.10(Part B), pp.145-161
2018
DOI: https://doi.org/10.1016/j.ssci.2018.03.004
url
https://doi.org/10.1016/j.ssci.2018.03.004View
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Abstract

systematic reviewRoad safety self-report driving behavior objective measures driving behavior
In Australia, the number of collisions at level crossings (LCs) remains stable and even increased between 2003 and 2011. A consistent number of crashes between trains and pedestrians compared to a decreasing number of crashes between trains and vehicles calls for a better understanding of the factors underpinning pedestrians' decision-making at such risky intersections. This study reports on an innovative method used to measure pedestrians' crossing intentions and risk perceptions in crossing scenarios recorded at three representative LCs for Queensland (Australia). Predictors of crossing intentions were examined and compared between five scenarios. An online survey featuring the footages of the crossing scenarios was completed by 222 participants. The results revealed that pedestrians' intentions to transgress depend on the situation, justifying the use of such methodology. Pedestrians perceived the lowest risk and reported the highest likelihood of risk-taking after the pedestrian lights are active, but before the pedestrian gates have started moving, confirming that pedestrian gates are an efficient safety measure. It was found that pedestrians perceive others as more prone to risk-taking at LCs, but not as being more at risk of fatal consequences, suggesting that the risk of being hit by a train as a pedestrian is generally perceived as low. Past unsafe behaviour, descriptive norms and perceived risk of being involved in a crash were found to be consistent predictors of the likelihood to engage in risk-taking behaviour at LCs across the different scenarios. Implications for future research and strategies to reduce habitual unsafe behaviour are discussed. © 2018 Elsevier Ltd

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