An Econometric Analysis of Weather Effects on Roadway Crash Severity in Bangladesh: Evidence from the Dhaka Metropolitan Area

Nazmul Islam (), Sanjida Afroz Iqra, Armana Sabiha Huq and Aniqa Tasnim
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Nazmul Islam: Department of Humanities, Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh
Sanjida Afroz Iqra: Department of Civil, Environment and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA
Armana Sabiha Huq: Accident Research Institute (ARI), Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh
Aniqa Tasnim: Department of Materials and Metallurgical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka 1000, Bangladesh

Sustainability, 2023, vol. 15, issue 17, 1-19

Abstract: This study identifies how weather-related factors affect crash severity and the number of fatalities from roadway crashes. We use pooled cross-section data for weather-related variables from the National Aeronautics and Space Administration (NASA) and crash data from the Dhaka Metropolitan Police (DMP). The novelty of our paper compared to existing research is the use of weather-related factors as regressors in a multinomial logit model. We use crash severity as the dependent variable. The results show that a unit increase in the specific humidity is associated with a change in the odds of fatal crashes by a factor of 0.2195, keeping other contributory factors constant. This research also shows that an increase in temperature is associated with an increase in the odds of a fatal accident. Moreover, it is observed that a one-unit increase in precipitation results in a 1.1151-unit increase in the odds of the risk of fatal crashes compared to that of non-fatal crashes. After a detailed inspection, wind speed was discovered to be an insignificant weather parameter with regard to accident severity. Furthermore, the number of fatalities is displayed graphically in a time series to thoroughly examine the fatality trend’s relationship with the monthly averaged weather variables. It is expected that the findings of this research will provide policy makers with insights into the weather-related causes of crash severity and assist in the execution of necessary measures to decrease unexpected and avoidable losses on Bangladesh’s roads.

Keywords: crash severity; fatality; weather effects; multinomial logit model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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