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- W594513218 abstract "Analytical models have been widely used in the field of pedestrian safety analysis. They are usually developed to measure the effectiveness of different safety improvement strategies and play a pivotal role in policy making process. Inappropriate model specifications affect the results of models, introducing inaccuracy, and bias in them. Since decisions and policies which are made based on inaccurate and biased results might lead to worsened safety issues, it is really important to correctly specify the models. In this study, several specifications of discrete-choice models are compared to find out the extent to which change in model specification can affect the results of pedestrian injury severity analysis in motor-vehicle crashes. Models are then evaluated based on their advantages and limitations to find the most appropriate specification. Police reported crash data between 2008 and 2011 from the State of North Carolina are used to develop various models. Estimates of applied models suggest several factors including pedestrian age, alcohol consumption, speed violation, lightening, and vehicle type affect pedestrian injury severity in accidents. A comparison of models indicates that the magnitude of effect of exogenous variables on injury severity is significantly different across diverse models. The differences prove the significant effect of model specification on the results of analysis. Evaluation of models suggests that a three-level nested logit analytical framework is the most appropriate model among developed models to be used in pedestrian injury severity analysis." @default.
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- W594513218 date "2015-01-01" @default.
- W594513218 modified "2023-09-26" @default.
- W594513218 title "The Effect of Model Specification on the Results of Pedestrian Injury Analysis" @default.
- W594513218 hasPublicationYear "2015" @default.
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