The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
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 …
The effect of traffic and road characteristics on road safety: A review and future research direction
Understanding factors affecting road accidents is an important area in road safety research.
This paper provides a review of the factors, with specific focus on traffic and road related …
This paper provides a review of the factors, with specific focus on traffic and road related …
Analytic methods in accident research: Methodological frontier and future directions
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 …
Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data
Introduction Driving environment, including road surface conditions and traffic states, often
changes over time and influences crash probability considerably. It becomes stretched for …
changes over time and influences crash probability considerably. It becomes stretched for …
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 …
Modeling crash spatial heterogeneity: Random parameter versus geographically weighting
The widely adopted techniques for regional crash modeling include the negative binomial
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …
The link between built environment, pedestrian activity and pedestrian–vehicle collision occurrence at signalized intersections
LF Miranda-Moreno, P Morency… - Accident Analysis & …, 2011 - Elsevier
This paper studies the influence of built environment (BE)–including land use types, road
network connectivity, transit supply and demographic characteristics–on pedestrian activity …
network connectivity, transit supply and demographic characteristics–on pedestrian activity …
Spatial analysis of fatal and injury crashes in Pennsylvania
Using injury and fatal crash data for Pennsylvania for 1996–2000, full Bayes (FB)
hierarchical models (with spatial and temporal effects and space–time interactions) are …
hierarchical models (with spatial and temporal effects and space–time interactions) are …
The role of built environment on pedestrian crash frequency
This study investigates (i) the link of land use and road design on pedestrian safety and (ii)
the effect of the level of spatial aggregation on the frequency of pedestrian accidents. For …
the effect of the level of spatial aggregation on the frequency of pedestrian accidents. For …
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 …