Modeling Vehicle-pedestrian Crashes With Excess Zero Along Malaysia Federal Roads

AbstractThis study focused on pedestrian crashes occurred in a 543-km sample of Malaysia federal roads in which roadways mostly pass through rural areas. To do this, four count models including Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) models were developed to establish the relationship between vehicle-pedestrian crashes and the relevant road infrastructure and environmental features. Data on pedestrian crashes were collected for a four-year period from 2007 through 2010. The result indicates that ZIP model performed best, in terms of the comparative criteria