An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models

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Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances (2018, background): “passengers) that are involved in the accident (Mannering et al., 2016; Behnood and Mannering, 2016).”
Multivariate random parameters zero-inflated negative binomial regression for analyzing urban midblock crashes (2018, unknown): “…crash frequency and have also been widely applied in crash injury severity analyses (Russo et al., 2014; Zhao and Khattak, 2015, 2017, Behnood and Mannering, 2016, 2017a, 2017b; Naik et al., 2016; Anderson and Hernandez, 2017; Fountas and Anastasopoulos, 2017; Seraneeprakarn et al., 2017) and…”
Temporal instability and the analysis of highway accident data (2018, result): “Subsequent work from these authors (Behnood and Mannering, 2016), showed similar temporal instability with regard to pedestrian injuries resulting from vehicle accidents in Chicago.4,5 These general findings are also supported by the work of Venkataraman et al. (2016) who found temporal instability…”