2018
DOI: 10.1016/j.trd.2018.10.001
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Assessing safety of shared space using cyclist-pedestrian interactions and automated video conflict analysis

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Cited by 66 publications
(23 citation statements)
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References 33 publications
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“…As for non-respondent explanatory variables in Table 3, PET is the only significant predictor of all four severity outcomes, consistent with conflict research and supporting its use in defining interactions (7,54). Higher PET is associated with higher comfort and lower risk, as expected.…”
Section: Resultssupporting
confidence: 79%
“…As for non-respondent explanatory variables in Table 3, PET is the only significant predictor of all four severity outcomes, consistent with conflict research and supporting its use in defining interactions (7,54). Higher PET is associated with higher comfort and lower risk, as expected.…”
Section: Resultssupporting
confidence: 79%
“…Many previous researchers have collected video traffic data [40][41][42]. The open-source software Traffic Intelligence [43] is often utilized for object-tracking; which can automatically extract trajectories of road users from video recordings.…”
Section: Video Conflict Data Collection Methodsmentioning
confidence: 99%
“…Roads, streets, street crossings and other elements are shaped around motorised vehicles (Hamilton-Baillie, 2008, Guo and Ferreira, 2008, Freund and Martin, 1997. Even the introduction of a shared space concept is delivering little, if not counterproductive, benefits for pedestrians, especially to those who do not 'fit' the norm (Imrie, 2012, Karndacharuk et al, 2013, Kaparias et al, 2013, Beitel et al, 2018, Essa et al, 2018. Poor design and inadequate provisions create pedestrian-vehicle conflict (Kaparias et al, 2013, Vedagiri andKadali, 2016) with more severe implications for disabled pedestrians (Imrie, 2012, Eskyte, 2015.…”
Section: Ieva Eskytémentioning
confidence: 99%