معرفی
Prateek Bansal serves as an Academic Visitor and postdoctoral research associate at the Transport Strategy Centre (TSC) within the Centre for Transport Studies (CTS) at Imperial College London's Department of Civil and Environmental Engineering. He has been affiliated with Professor Dan Graham's research group since August 2019, contributing to transportation systems analysis through advanced statistical methodologies.
Education:
- PhD in Transportation from Cornell University
- MS in Transportation Engineering from University of Texas at Austin
- B.Tech in Civil Engineering from Indian Institute of Technology (IIT) Delhi
His research focuses on advancing discrete choice modeling with applications in transportation behavior. Key innovations include variational Bayes for fast inference, causal frameworks for transit systems with structural correlations, and entropy-based solutions for endogeneity. His doctoral work pioneered semi-parametric heterogeneity modeling, t-distributed error kernels, minorization-maximization algorithms, and quadrature methods for multi-dimensional integrals in choice experiments.
Analysis of his 15 most recent publications (2019-2022) reveals a strong emphasis on Indian transportation contexts, including electric vehicle adoption, two-wheeler markets, and vaccine hesitancy. Methodologically, he integrates spatial statistics, Bayesian computation, and causal inference to address metro system vulnerability, crowd dynamics, and traffic flow relationships. His work consistently bridges econometric theory with real-world transit data from London, Hong Kong, and Indian cities.
As part of the Centre for Transport Studies, Bansal collaborates within Imperial's Transport Strategy Centre on projects involving large-scale transit data analysis. His research outputs appear in leading journals including Transportation Research Part B, Journal of the Royal Statistical Society, and Transportation.
