Vehicle-Pedestrian crashes at Intersections in Dhaka city

Shakil Mohammad Rifaat1, Richard Tay2, *, Shariar Mohammad Raihan1, Abrar Fahim1, Shah Mostofa Touhidduzzaman1
1 Department of Civil Engineering, Islamic University of Technology, Gazipur-1704, Bangladesh
2 School of Business IT and Logistics RMIT University, Melbourne, Victoria, Australia 3000

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Creative Commons License
© 2017 Rifaat et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: ( This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the School of Business IT and Logistics RMIT University Melbourne, Victoria, Australia 3000, Tel: +61 3 9925 1438; Email:



Pedestrians are some of the most vulnerable road users, especially in large congested cities in developing countries. In order to develop appropriate countermeasures to improve safety, research has to be conducted to understand the factors contributing to vehicle-pedestrian collisions.


This study aims to identify the factors contributing to intersection crashes in a developing country context.


A Poisson regression model was applied to police reported crash data from the capital of Bangladesh, Dhaka.


This study finds that an increase in vehicle traffic and the presence of police officer, footbridge, bus stop, solar panel and waste deposit facility were associated with an increase in the number of vehicle-pedestrian crashes, whereas an increase in pedestrian volume, roads with the same number of inbound and outbound lanes, roads with greater number of lanes, and the presence of traffic signal, commercial area or offices, speed breaker and rail crossing were associated with a reduction in the number of vehicle-pedestrian crashes.


While the results of most traffic and engineering factors are consistent with those obtained in previous studies in developed countries, some of the results on human related factors and unusual road furniture are atypical and require more locally targeted countermeasures.

Keywords: Pedestrian crashes, Intersection crashes, Developing country, Poisson regression.