Public Transport-Involved Crash Severity Analysis in Dhaka: An Application of Statistical Models (Abstract Publication, Co-Author)
- Analyzed public transport crash data (2017–2020) using Multinomial Logit, Ordered Logit, Ordered Probit, and Partial Proportional Odds Models to evaluate injury severity factors.
- Identified key contributors to crash severity—such as collision type, time of crash, and road geometry—providing policy insights for improving public transport safety in Dhaka.