Identifying Meteorological Determinants Associated with Roadway Crash Severity in Dhaka Metropolitan Area of Bangladesh
An Econometric Analysis over a Decade
Bibliographic Data
| ID | 13112764 |
|---|---|
| Authors | Nazmul Islam (0000-0002-4163-7564, Bangladesh University of Engineering and Technology, corresponding author), Md Ahnaf Zaman (Bangladesh University of Engineering and Technology), Maheen Zaman (Bangladesh University of Engineering and Technology), Nasif Chowdhury (0000-0002-6141-8238, Bangladesh University of Engineering and Technology), Armana Sabiha Huq (0000-0002-1719-8194, Bangladesh University of Engineering and Technology), Sk Fateh Md Rasel (Bangladesh University of Engineering and Technology) |
| Year | 2026 |
| Volume | 10 |
| Issue | 3 |
| Pages | 125-125 |
| Publication date | 2026-02-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Science (JOURNAL) |
| Journal identifiers | ISSN: 2413-8851 • E-ISSN: 2413-8851 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/urbansci10030125 |
| OpenAlex | W7132849451 |
| Language | EN |
| References cited | 64 |
This study investigates the impact of urban meteorological factors on road crash severity in Dhaka, Bangladesh. Using police crash data, and meteorological data from NASA POWER database for years 2011–2022, a generalized ordered logit model was used to analyze crash severity, and interpreted using odds ratio, log odds ratio, predicted probabilities and marginal effects. The results show that land surface temperature (LST), relative humidity, precipitation, surface pressure, and wind speed have significant association with crash severity. Relative humidity, surface pressure and LST exhibited positive relation with higher severity levels of crashes, whereas precipitation had a negative relation. We recommend three actions to lessen the severity of crashes during inclement weather based on the findings: (i) weather-responsive transport safety policies, which incorporate real-time weather data into intelligent transport systems; (ii) law enforcement-oriented policy implications, which include using automated speed cameras and red-light violation cameras to improve compliance consistency and updating driver training courses to include modules on risk perception across various environmental conditions; and (iii) infrastructure and vehicle-related policy implications, which include designing road geometries and surface conditions to prevent the effects of adverse weather conditions and utilizing safety equipment, such as electronic stability control and anti-lock braking systems
Consistency (knowledge bases · Crash · Logistic regression · Metropolitan area · Odds · Poison control · Precipitation · Road surface · Wind speed · Hydrology and Drought Analysis · Injury Epidemiology and Prevention · Traffic and Road Safety
Assessing Proportionality in the Proportional Odds Model for Ordinal Logistic Regression
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (Merra-2)
Generalized Ordered Logit/Partial Proportional Odds Models for Ordinal Dependent Variables
City Profile
Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity
Understanding and interpreting generalized ordered logit models
| Citation velocity | historical |
|---|---|
| Highly cited | No |