The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives.

By Peter T. Savolainen, Fred L. Mannering, D. Lord, Mohammed A. Quddus. Accident Analysis and Prevention, 2011

994 citations recorded by the source corpus.

Subfields: Public Health, Environmental and Occupational Health, Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/65af71e1faee2eaf0a8cd213d5f3c194a81f70dc

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In Public Health, Environmental and Occupational Health

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Citations in the corpus

An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models (2016, methodology): “…ordered logit/probit models, multinomial logit models, dual-state multinomial logit models, nested logit models, latent-class logit models, mixed (random parameters) logit models, Markov-switching models, and others (Savolainen et al., 2011; Mannering and Bhat, 2014; Mannering et al., 2016).”
Big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis (2020, methodology): “Regarding the injury severity of accidents (occupant injury levels such as no injury, possible injury, evident injury, disabling injury, and fatality), discrete-outcome statistical methods are typically applied (Savolainen et al., 2011).”
Temporal instability and the analysis of highway accident data (2018, background): “…contrast, focuses on the injury severity of specific accidents and can potentially make full use of the highly detailed data (such as detailed information on vehicle and occupant characteristics) available after an accident has occurred (for a review of these models, see Savolainen et al. (2011)).”
Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances (2018, background): “Recent advances on statistical and econometric approaches have addressed several issues arising from the restrictive formulations of the traditional ordered and discrete outcome frameworks, which are typically used in the analysis of accident injury-severity data (for a detailed review, see: Lord an”
Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, background): “That is, unlike OL or OP models, the MNL model does not place any restrictions on the effect of household characteristics across car ownership levels (Savolainen et al., 2011).”
Joint Analysis of Injury Severity of Drivers in Two-Vehicle Crashes Accommodating Seat Belt Use Endogeneity (2013, methodology): “Savolainen et al. (2011) and Castro et al. (2012) discuss in detail the advantages and limitations of each approach.”
Investigation of Effects of Underreporting Crash Data on Three Commonly Used Traffic Crash Severity Models (2011, background): “It is generally agreed that these statistical models are classified into two categories: crash count and crash severity models (1, 2).”