Abstract
A study of injury severity in pedestrian accidents can help to identify the number of fatalities as a result of motor vehicle-pedestrian collisions associated with different factors. The objective of this research is to develop statistical predictive model for pedestrian fatalities at the Dhaka metropolitan, capital of Bangladesh. This research focuses on the severity of accidents i.e. number of fatalities rather than accidents number, because number of fatalities shows the actual horror of the accidents. The model relates number of fatalities with the best set of explanatory factors as independent variables. With this objective in perspective, the research selects some possible factors as independent variables according to ARF (accident record form) of police that may contribute to road traffic accident fatalities. The independent variables in the modeling included factors such as- junction type, divider, roadway geometry, pedestrian location etc. To represent the non-linear relationship of fatalities with independent variables, Poisson regression model have been used. Therefore, delineation and subsequent improvement of these factors can improve the traffic safety at a given location.
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