2018
DOI: 10.1016/j.aap.2018.08.008
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Improving roadside design policies for safety enhancement using hazard-based duration modeling

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Cited by 24 publications
(18 citation statements)
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References 29 publications
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“…For examples, researchers have traditionally used duration models to analyse activity and travel patterns (Juan & Xianyu, 2010;Joly 2006;Bhat, 1996;Mannering, et al, 1994) and vehicle ownership (De Jong, 1996;Gilbert, 1992). More recently, duration models have also been applied to better understand accident data, including modelling of traffic incident duration (Tavassoli Hojati, et al, 2013), crossing behaviour of cyclists at intersections (Yang, et al, 2015), driver braking times (Fu, et al, 2016;Bella & Silvestri, 2016), vehicle distance travelled in run-off-road crashes (Roque & Jalayer 2018), and minimum gap time for lane changing (Ali, et al 2019). Other applications duration models to understand the policy adoption process for municipal car ownership and use restrictions among Chinese cities.…”
Section: Impacts Of Local Context On Policy Adoptionmentioning
confidence: 99%
“…For examples, researchers have traditionally used duration models to analyse activity and travel patterns (Juan & Xianyu, 2010;Joly 2006;Bhat, 1996;Mannering, et al, 1994) and vehicle ownership (De Jong, 1996;Gilbert, 1992). More recently, duration models have also been applied to better understand accident data, including modelling of traffic incident duration (Tavassoli Hojati, et al, 2013), crossing behaviour of cyclists at intersections (Yang, et al, 2015), driver braking times (Fu, et al, 2016;Bella & Silvestri, 2016), vehicle distance travelled in run-off-road crashes (Roque & Jalayer 2018), and minimum gap time for lane changing (Ali, et al 2019). Other applications duration models to understand the policy adoption process for municipal car ownership and use restrictions among Chinese cities.…”
Section: Impacts Of Local Context On Policy Adoptionmentioning
confidence: 99%
“…Roque and Jalayer developed a hazard-based duration model to understand the distance traveled by errant vehicles in ROR crashes and their associated factors. Based on annual ROR crashes data, the extent severity was related to roadway and roadside geometric design features, including lane width and clear zones [24].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In addition, some of the safety risk factors for rural roadsides were not included in previous studies, which may not provide a complete picture of rural roadside safety risk. Thus, the relationship obtained in previous studies between the factors and safety risk is possibly also biased [15,16,17,18,19,20,21,22,23,24].…”
Section: Introductionmentioning
confidence: 99%
“…In terms of the severity of accidents involving roadside trees, Daniello and Gabler [5] investigated 3,600 collisions between motor vehicles and roadside fixed objects in the US from 2004 to 2008 and believed that the death risk in collisions with roadside fixed objects was considerably higher than that in collisions with the ground, with the death rate of collisions with a guardrail and the death rate of collisions with trees being 7 times and 15 times, respectively, that of collisions with the ground. By collecting roadside accident data, Roque and Jalayer [6] revealed that the severity of collisions between vehicles and trees was twice that of collisions with other obstacles. Holdridge and Shankar et al [7] employed the multinested logit model to confirm that planting thick and strong trees on the roadside tended to increase the probability of fatal roadside accidents.…”
Section: Introductionmentioning
confidence: 99%