An analysis of day and night bicyclist injury severities in vehicle/bicycle crashes: A comparison of unconstrained and partially constrained temporal modeling …
N Alnawmasi, F Mannering - Analytic methods in accident research, 2023 - Elsevier
Due to visibility limitations and other factors, the injuries sustained by bicyclists in nighttime
vehicle-bicycle crashes tend to be more severe than daytime crashes. This paper seeks to …
vehicle-bicycle crashes tend to be more severe than daytime crashes. This paper seeks to …
A Bayesian correlated grouped random parameters duration model with heterogeneity in the means for understanding braking behaviour in a connected environment
Driver's response to a pedestrian crossing requires braking, whereby both excess and
inadequate braking is directly associated with crash risk. The highly anticipated connected …
inadequate braking is directly associated with crash risk. The highly anticipated connected …
Bivariate joint analysis of injury severity of drivers in truck-car crashes accommodating multilayer unobserved heterogeneity
Truck-involved crashes, especially truck-car crashes, are associated with serious and even
fatal injuries, thus necessitating an in-depth analysis. Prior research focused solely on …
fatal injuries, thus necessitating an in-depth analysis. Prior research focused solely on …
Renewable energy adoption decisions in Jordan's industrial sector: Statistical analysis with unobserved heterogeneity
This paper models two strategic decisions made by industrial entities: the intention to adopt
a renewable energy system (RES) and the timeframe for this adoption. The methodology …
a renewable energy system (RES) and the timeframe for this adoption. The methodology …
Analysis of duration between crashes using a hazard-based duration approach with heterogeneity in means and variances: Some new evidence
This paper provides new evidence for the factors underlying crash involvement by modeling
the time duration between crashes for drivers involved in one or more crashes between …
the time duration between crashes for drivers involved in one or more crashes between …
Incorporating real-time weather conditions into analyzing clearance time of freeway accidents: A grouped random parameters hazard-based duration model with time …
To minimize non-recurrent congestion, a better understanding of the factors that affect
accident clearance time is crucial, in order to optimize incident management strategies. A …
accident clearance time is crucial, in order to optimize incident management strategies. A …
[HTML][HTML] Modelling the continuum of serious traffic injuries in police-hospital linked data by applying the random parameters hazard-based duration model
Injury severity in police crash reports is usually recorded in three to five classes, including
property damage, slight, moderate, serious, and fatal injuries. Among these classifications …
property damage, slight, moderate, serious, and fatal injuries. Among these classifications …
Analysis of urban travel time and travel distance: A fully parametric bivariate hazard-based duration modelling approach with correlated grouped random parameters
Hazard-based duration models have been successfully implemented to study event
durations across many disciplines. This paper focuses on integrating–for the first time, to the …
durations across many disciplines. This paper focuses on integrating–for the first time, to the …
Modelling the response times of mobile phone distracted young drivers: A hybrid approach of decision tree and random parameters duration model
Research has shown the detrimental effects of using mobile phones whilst driving, which are
more prominent and concerning for young drivers, who are often less experienced and …
more prominent and concerning for young drivers, who are often less experienced and …
Exploring temporal instability effects on bicyclist injury severities determinants for intersection and non-intersection-related crashes
Cycling is a sustainable and healthy mode of transportation with direct links to reducing
traffic congestion, lowering greenhouse gas emissions, and improving air quality. However …
traffic congestion, lowering greenhouse gas emissions, and improving air quality. However …