The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
D Lord, F Mannering - Transportation research part A: policy and practice, 2010 - Elsevier
Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has
been an area of research focus for many decades. However, in the absence of detailed …
been an area of research focus for many decades. However, in the absence of detailed …
A review of spatial approaches in road safety
A Ziakopoulos, G Yannis - Accident Analysis & Prevention, 2020 - Elsevier
Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …
determine how crashes are affected by neighboring locations, how the influence of …
Unobserved heterogeneity and the statistical analysis of highway accident data
Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …
stimuli, as well as complex interactions between the vehicle, roadway features/condition …
Analytic methods in accident research: Methodological frontier and future directions
FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
A negative binomial Lindley approach considering spatiotemporal effects for modeling traffic crash frequency with excess zeros
Statistical analysis of traffic crash frequency is significant for figuring out the distribution
pattern of crashes, predicting the development trend of crashes, formulating traffic crash …
pattern of crashes, predicting the development trend of crashes, formulating traffic crash …
Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models
This study attempts to explore the viability of dual-state models (ie, zero-inflated and hurdle
models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency …
models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency …
[BOOK][B] Highway safety analytics and modeling
Highway Safety Analytics and Modeling comprehensively covers the key elements needed
to make effective transportation engineering and policy decisions based on highway safety …
to make effective transportation engineering and policy decisions based on highway safety …
Geographical unit based analysis in the context of transportation safety planning
A wide array of spatial units has been explored in macro-level modeling. With the
advancement of Geographic Information System (GIS) analysts are able to analyze crashes …
advancement of Geographic Information System (GIS) analysts are able to analyze crashes …
Bayesian spatial-temporal model for the main and interaction effects of roadway and weather characteristics on freeway crash incidence
This study attempts to examine the main and interaction effects of roadway and weather
conditions on crash incidence, using the comprehensive crash, traffic and weather data from …
conditions on crash incidence, using the comprehensive crash, traffic and weather data from …
Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach
Traffic safety is a critical factor that has always been considered in policy making for urban
transportation planning and management. Accurately predicting crash risk hot spots allows …
transportation planning and management. Accurately predicting crash risk hot spots allows …