“Put the blame on…others!”: The battle of cyclists against pedestrians and car drivers at the urban environment. A cyclists’ perception study

Factors contributing to bicycle–motorised vehicle collisions: a systematic literature review

“…Low cycling speed was listed among the most important risk factors contributing to the high level of cycling safety in the Netherlands (Schepers et al, 2016). Moreover, we were not able to find evidence concerning the influence of latent individual characteristics such as driving style, mood, distracted driving, motivations to cycle and cyclists' experiences and victimization (English & Salmon, 2016;Heesch, Garrard, & Sahlqvist, 2011;Kaplan & Prato, 2016;O'Connor & Brown, 2010;Paschalidis, Basbas, Politis, & Prodromou, 2016) on BMV collisions.…”

An Integrated Choice and Latent Variable Model to Explore the Influence of Attitudinal and Perceptual Factors on Shared Mobility Choices and Their Value of Time Estimation

“…Hence, bicycles which go straight could have direct conflict with cars which turn right. Studies have also shown that cyclists could have great safety concerns if cars were closely aside (Fishman et al, 2012;Paschalidis et al, 2016;Piatkowski et al, 2017;Romero et al, 2017).…”

How do drivers recall positive and negative driving events? A quantitative approach to analysing driving diaries

“…Based on the current study, further research into emotions whilst driving, and appraisal components associated with these, could be beneficial from theoretical and practical perspectives. This could also be extended into other established transportation issues, such as understanding the processes underlying the negative attitudes of drivers towards more vulnerable road users such as cyclists (Paschalidis et al, 2016). Extending the use of word count analysis to other issues, examples could include understanding the attentional choices made by novice drivers, or gaining insight into the travel choices made by older drivers.…”