Q Cai, M Abdel-Aty, J Lee - Accident Analysis & Prevention, 2017 - Elsevier
This study aims at contributing to the literature on pedestrian and bicyclist safety by building on the conventional count regression models to explore exogenous factors affecting …
H Huang, X Ding, C Yuan, X Liu, J Tang - Accident Analysis & Prevention, 2023 - Elsevier
A copula-based model is developed in this study to jointly model the severity of freeway primary crashes and secondary crashes. The copula-based model can concurrently account …
R Tamakloe, J Hong, D Park - Accident Analysis & Prevention, 2020 - Elsevier
The consequences of crashes, including injury, loss of lives, and damage to properties, are further worsened when buses plying expressways are involved in the crash. Previous …
In safety literature, there are two ways to incorporate the potential correlation between multiple crash frequency variables:(1) simulation-based approach and (2) analytical closed …
Statistical models of crash frequency typically apply univariate regression models to estimate total crash frequency or crash counts by various categories. However, a possible …
This study employs a copula-based multivariate temporal ordered probit model to simultaneously estimate the four common intersection crash consequence metrics–driver …
This paper proposes a new spatial multivariate count model to jointly analyze the traffic crash-related counts of pedestrians and bicyclists by injury severity. The modeling …
A Osama, T Sayed - Analytic methods in accident research, 2017 - Elsevier
This paper describes the development of macro-level crash models for active modes of transportation incorporating spatial and mode correlation effects. The models are based on …
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 …