Ramandeep is a Postdoctoral Research Associate at the Transport Strategy Centre within the Centre for Transport Studies. She completed her PhD at Imperial College London in 2019 on the journey time performance of urban mass transit systems under the supervision of Professor Dan Graham.
Her research primarily involves the application of statistical methods, data centric engineering techniques, and simulation modelling for transit networks, with specific interests in: optimising demand and supply side performance, resilience and connectivity, and asset condition monitoring.
Singh R, Sood R, Graham D, 2022, Road traffic casualties in Great Britain at daylight savings time transitions: a causal regression discontinuity design analysis, Bmj Open, Vol:12, ISSN:2044-6055
Horcher D, Singh R, Graham D, 2022, Social distancing in public transport: mobilising new technologies for demand management under the Covid-19 crisis, Transportation, Vol:49, ISSN:0049-4488, Pages:735-764
et al., 2021, The boundary between random and non-random passenger arrivals: robust empirical evidence and economic implications, Transportation Research Part C: Emerging Technologies, Vol:130, ISSN:0968-090X
Singh R, Graham DJ, Anderson RJ, 2020, Quantifying the effects of passenger-level heterogeneity on transit journey times, Data-centric Engineering, Vol:1, ISSN:2632-6736, Pages:e15-1-e15-28