Summary
Anupriya is currently a research associate of the Alan Turing Institute and the Transport Strategy Centre (TSC) within the Centre for Transport Studies at Imperial College London, supervised by Prof. Daniel J. Graham. Her work combines multi-disciplinary concepts from economics, statistics and civil engineering. Her research interests are focussed around data-centric engineering, that includes (but is not limited to):
- Monitoring transportation systems/ networks to understand and anticipate the impact of rare and high consequence events such as COVID.
- Development and application data science methods and models to big data to identify opportunities for improvement in the operation, planning and design of transportation systems.
- Development and application of causal inference methods to identify determinants for intervention and forecast impacts.
Background
Anupriya graduated from the Indian Institute of Technology (IIT), Roorkee with a Bachelor of Technology (B.Tech.) degree in Civil Engineering. She joined Imperial College in October 2015 to pursue her Masters in Transport and Sustainable Development supervised by Prof. Daniel J. Graham and sponsored by the Commonwealth Scholarship Commission, following which she started her PhD in March 2017. She was awarded with a PhD degree in June 2021.
Publications
Journals
Xu M, Anupriya, Bansal P, 2023, Surge pricing and consumer surplus in the ride-hailing market: Evidence from China, Travel Behaviour and Society, Vol:33, ISSN:2214-367X
Anupriya, Bansal P, Graham DJ, 2023, Congestion in cities: can road capacity expansions provide a solution?, Transportation Research Part A: Policy and Practice, Vol:174, ISSN:0965-8564, Pages:1-29
Anupriya, Graham DJ, Bansal P, et al., 2023, Optimal congestion control strategies for near-capacity urban metros: Informing intervention via fundamental diagrams, Physica A: Statistical Mechanics and Its Applications, Vol:609, ISSN:0378-4371, Pages:128390-128390
Anupriya, Bansal P, Graham DJ, 2022, Modelling the propagation of infectious disease via transportation networks., Sci Rep, Vol:12