Sustainable Cities and Communities: an Application of Statistical Models to Analyse Public Transport-Involved Crash Severity in Dhaka

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Statistical models reveal factors impacting crash severity in Dhaka's public transport system, suggesting targeted safety interventions.

The Partial Proportional Odds Model was the most effective in explaining crash severity.
Pedestrians were identified as the most vulnerable group in public transport crashes in Dhaka.
Crashes on straight, flat roads resulted in more severe outcomes than those on curved segments.
Poor road surface conditions and timing of collisions significantly impacted crash severity.

Ahmed et al. (2025) studied this question.

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