Researchers at University of Central Florida Target Risk Management (Macro-level pedestrian and bicycle crash analysis: Incorporating spatial…

Researchers at University of Central Florida Target Risk Management (Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models)

By a News Reporter-Staff News Editor at Insurance Weekly News -- Data detailed on Risk Management have been presented. According to news originating from Orlando, Florida, by VerticalNews correspondents, research stated, "This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from neighboring zones."

Our news journalists obtained a quote from the research from the University of Central Florida, "The dual-state models such as zero-inflated negative binomial and hurdle negative binomial models (with and without spatial effects) are compared with the conventional single-state model (i.e., negative binomial). The model comparison for pedestrian and bicycle crashes revealed that the models that considered observed spatial effects perform better than the models that did not consider the observed spatial effects. Across the models with spatial spillover effects, the dual-state models especially zero-inflated negative binomial model offered better performance compared to single-state models."

According to the news editors, the research concluded: "Moreover, the model results clearly highlighted the importance of various traffic, roadway, and sociodemographic characteristics of the TAZ as well as neighboring TAZs on pedestrian and bicycle crash frequency."

For more information on this research see: Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models. Accident Analysis and Prevention, 2016;93():14-22. Accident Analysis and Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis and Prevention - www.journals.elsevier.com/accident-analysis-and-prevention/)

The news correspondents report that additional information may be obtained from Q. Cai, University of Central Florida, Dept. of Civil Environm & Construct Engn, Orlando, FL 32816, United States. Additional authors for this research include J.Y. Lee, N. Eluru and M. Abdel-Aty.

Keywords for this news article include: Orlando, Florida, United States, North and Central America, Risk Management, University of Central Florida.

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