Esra Suel is a Health Data Research (HDR) UK Fellow at the School of Public Health. She obtained her PhD from Imperial College London and continues her research there at the Urban Systems Lab. Her current research focuses on investigating the use of digital data, such as street view images and mobile phone data, for regular monitoring of urban mobility and health.
Esra completed her PhD in 2016 where she investigated mathematical modelling of decision making to study shifting patterns of spending and mobility with the increasing use of online shopping through combining heterogeneous data sources. At the Urban Systems Lab, she was also involved in multiple EPSRC, EU, governmental and industrial projects, where her role focused on application of mathematical modelling and statistical learning methods.
She holds a BSc degree in Mechatronics Engineering from Sabanci University (Istanbul), and an MSE degree in Mechanical Engineering from the University of Michigan – Ann Arbor, specialising in automotive market modeling and environmental policy analysis.
Suel E, Polak JW, 2018, Incorporating online shopping into travel demand modelling: challenges, progress, and opportunities, Transport Reviews, Vol:38, ISSN:0144-1647, Pages:576-601
Suel E, Polak JW, 2017, Development of joint models for channel, store, and travel mode choice: Grocery shopping in London, Transportation Research Part A-policy and Practice, Vol:99, ISSN:0965-8564, Pages:147-162
Suel E, Daina N, Polak JW, 2017, A hazard-based approach to modelling the effects of online shopping on intershopping duration, Transportation, ISSN:1572-9435
Suel E, Polak J, Hypothesis testing in discrete choice models: It’s more complicated than you think, International Choice Modelling Conference
et al., Quantifying Effects of Residential Property Markets and International Migration on Trip Rates in Britain, 95th Annual Meeting of the Transportation Research Board