(same direction, overturn, head-on, and miscellaneous type) (Serhiyenko Limited access highway multivariate Poisson Lognormal Crash frequency by crash type single vehicle, et al. – 3 2016) segment (Micro) model same direction and opposite direction crashes Multivariate spatial conditional Crash frequency by travel mode pedestrian, – (Huang 2017) Urban intersection (Micro) 3 et al. autoregressive (CAR) models bicycle and motor vehicle Multivariate Poisson lognormal frequency by crash severity no injury and – (Barua 2014) Road segment (Micro) 2 et al. model injury/fatal crashes frequency of pedestrian-vehicle crashes by Census (Macro) Multivariate Poisson-lognormal severity levels fatal and severe injury crashes – (Zhan 2015) 2, 3 et al. Roadway segment model Crash frequency by crash severity no injury, – possible injury and evident injury Multivariate random parameter Crash frequency by severity levels slight injury – (Zeng 2017) Road segment (Micro) 2 et al. tobit model crash and killed/seriously injured crashes Bayesian latent class flexible Crash frequency by crash type pedestrian and – (Heydari 2017) Intersection (Micro) 2 et al. mixture multivariate model bicycle crashes Crash frequency by crash types –same-direction, intersection-direction, opposite direction and Integrated Nested Laplace Roadway segment and single vehicle crashes (Wang 2017) Approximation Multivariate 4, 3 et al. intersections (Micro) Crash frequency by severity outcomes no injury, – Poisson Lognormal model possible/non-incapacitating injury and fatal/incapacitating injury crashes Statewide Traffic Analysis Copula based bivariate negative Crash frequency by crash type pedestrian and – (Nashad 2016) 2 et al. Zone (Macro) binomial model bicycle crashes Crash frequency by crash type - Rear-end, Multivariate Poisson lognormal (Cheng 2017) Intersection (Micro) Side-swipe, 6 et al. temporal and spatial models Broad-side, Hit object, and Others crashes Random parameter bivariate Crash frequency by severity disabling injury and – (Dong 2016) Intersection (Micro) zero-inflated negative binomial 2 et al. non-disabling injury TABLE 2 Sample Statistics for the State of Florida Variable Names Definition Zonal
(same direction, overturn, head-on, and miscellaneous type) (Serhiyenko et al. 2016) Limited access highway segment (Micro) multivariate Poisson Lognormal model Crash frequency by crash type – single vehicle, same direction and opposite direction crashes 3 (Huang et al. 2017) Urban intersection (Micro) Multivariate spatial conditional autoregressive (CAR) models Crash frequency by travel mode – pedestrian, bicycle and motor vehicle 3 (Barua et al. 2014) Road segment (Micro) Multivariate Poisson lognormal model frequency by crash severity – no injury and injury/fatal crashes 2 (Zhan et al. 2015) Census (Macro) Roadway segment Multivariate Poisson-lognormal model frequency of pedestrian-vehicle crashes by severity levels – fatal and severe injury crashes Crash frequency by crash severity – no injury, possible injury and evident injury 2, 3 (Zeng et al. 2017) Road segment (Micro) Multivariate random parameter tobit model Crash frequency by severity levels – slight injury crash and killed/seriously injured crashes 2 (Heydari et al. 2017) Intersection (Micro) Bayesian latent class flexible mixture multivariate model Crash frequency by crash type – pedestrian and bicycle crashes 2 (Wang et al. 2017) Roadway segment and intersections (Micro) Integrated Nested Laplace Approximation Multivariate Poisson Lognormal model Crash frequency by crash types –same-direction, intersection-direction, opposite direction and single vehicle crashes Crash frequency by severity outcomes – no injury, possible/non-incapacitating injury and fatal/incapacitating injury crashes 4, 3 (Nashad et al. 2016) Statewide Traffic Analysis Zone (Macro) Copula based bivariate negative binomial model Crash frequency by crash type – pedestrian and bicycle crashes 2 (Cheng et al. 2017) Intersection (Micro) Multivariate Poisson lognormal temporal and spatial models Crash frequency by crash type - Rear-end, Side-swipe, Broad-side, Hit object, and Others crashes 6 (Dong et al. 2016) Intersection (Micro) Random parameter bivariate zero-inflated negative binomial Crash frequency by severity – disabling injury and non-disabling injury 2 TABLE 2 Sample Statistics for the State of Florida Variable Names Definition Zonal