[HTML][HTML] What factors influence risk at rail level crossings? A systematic review and synthesis of findings using systems thinking
Collisions between road users (drivers, cyclists, motorcyclists, pedestrians) and trains at rail
level crossings (RLXs) remain an intractable issue. This systematic review aimed to …
level crossings (RLXs) remain an intractable issue. This systematic review aimed to …
Safety and associated parameters influencing performance of rail road grade crossings: A critical review of state of the art
Abstract Introduction: Railroad grade crossings (RRGCs) have emerged as critical
transportation infrastructures from the point of safety and operational aspects because two …
transportation infrastructures from the point of safety and operational aspects because two …
Accounting for unobserved heterogeneity and spatial instability in the analysis of crash injury-severity at highway-rail grade crossings: A random parameters with …
Crashes at highway-rail grade crossings often result in higher proportion of injury and fatality
of the vehicle occupants as compared to other crash types, necessitating in-depth …
of the vehicle occupants as compared to other crash types, necessitating in-depth …
Pedestrian injury severity in motor vehicle crashes: an integrated spatio-temporal modeling approach
Traffic crashes are outcomes of human activities interacting with the diverse cultural, socio-
economic and geographic contexts, presenting a spatial and temporal nature. This study …
economic and geographic contexts, presenting a spatial and temporal nature. This study …
Advancing investigation of automated vehicle crashes using text analytics of crash narratives and Bayesian analysis
Vehicle automation, manifested in self-driving cars, promises to provide safe mobility by
reducing human errors. While the testing of automated vehicles (AVs) has improved their …
reducing human errors. While the testing of automated vehicles (AVs) has improved their …
Spatiotemporal analysis of crash severity on rural highway: A case study in Anhui, China
Traffic crashes are the result of the interaction between human activities and different socio-
economic, geographical, and environmental factors, showing a temporal and spatial …
economic, geographical, and environmental factors, showing a temporal and spatial …
Post-pandemic shared mobility and active travel in Alabama: a machine learning analysis of COVID-19 survey data
The COVID-19 pandemic has had unprecedented impacts on the way we get around, which
has increased the need for physical and social distancing while traveling. Shared mobility …
has increased the need for physical and social distancing while traveling. Shared mobility …
Do safety performance functions used for predicting crash frequency vary across space? Applying geographically weighted regressions to account for spatial …
Abstract Safety Performance Functions (SPFs) provide a basis for identifying locations
where countermeasures can be effective. While SPFs in the Highway Safety Manual (HSM) …
where countermeasures can be effective. While SPFs in the Highway Safety Manual (HSM) …
Exploring factors associated with crash severity on motorways in Pakistan
The enormous loss of life, as well as economic loss, incurred by road traffic crashes means
that rigorous research efforts, especially in developing countries, are needed to investigate …
that rigorous research efforts, especially in developing countries, are needed to investigate …
A geographically weighted regression to estimate the comprehensive cost of traffic crashes at a zonal level
Global road safety records demonstrate spatial variation of comprehensive cost of traffic
crashes across countries. To the best of our knowledge, no study has explored the variation …
crashes across countries. To the best of our knowledge, no study has explored the variation …