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By: Rezwana Kabir and Moazzem Hossain
Abstract
This study aims at modeling the influence of highway geometric and traffic characteristics on road crash frequency under heterogenous traffic conditions using the Negative Binomial regression technique. Over a span of three years, data from 618 road accidents on the Dhaka–Aricha highway (N5) in Bangladesh were analyzed to develop the model.. The model variables include Annual Average Daily Traffic (AADT), % of heavy vehicle and non-motorised vehicles (NMV), pavement carriageway width (m), shoulder width (m) and presence of median. The model outcome showed that heavy traffic volume, NMV, reduced pavement carriageway, narrow shoulder width and absence of median increase the likelihood for overall crash involvement. But for pedestrian crash analysis increased traffic volume ,% of heavy vehicle, narrow pavement, narrow shoulder width and absence of median increase the likelihood ; and % of NMV was not found to be significant in this case. Again, in case of NMT crash, more crashes were resulted with higher percent of heavy vehicles and reduced shoulder and narrow pavement width having no median. The developed model was further analyzed using an elasticity approach to determine the key factors influencing accident occurrence and to assess their relative importance. The research results may provide significant guidance to highway improvement and related investment policy in developing countries conditions similar to Bangladesh.
Keywords– Negative binomial, Accident frequency, Elasticity, Developing countries and Bangladesh
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Citation:
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