Imperial College London


Faculty of EngineeringDepartment of Civil and Environmental Engineering

Honorary Research Associate



+44 (0)20 7594 6105charilaos.latinopoulos10




615Skempton BuildingSouth Kensington Campus





Charilaos Latinopoulos is an Honorary Research Associate at the Centre for Transport Studies (CTS) at Imperial College.

His research work is about the analysis of electric vehicle drivers' recharging behaviour and the development of business models for parking facilities and charging service providers. His research interests also focus on emerging mobility services and the application of dynamic pricing methods for supply-demand imbalance problems.

Charilaos obtained a PhD at Imperial College with funding from the Grantham Institute for Climate Change and Climate KIC. His thesis "Efficient operation of recharging infrastructure for the accomodation of electric vehicles: a demand driven approach" was completed under joint supervision of Prof. John Polak and Dr. Aruna Sivakumar

He has also been a Graduate Teaching Assistant (GTA) in several courses for Masters and Undergraduate classes. 

Before he joins Imperial College in 2011 to obtain an MSc in Transport, Charilaos studied civil engineering as undergraduate at Aristotle University of Thessaloniki in Greece (MEng equivalent). 



Latinopoulos C, Patrier A, Sivakumar A, 2021, Planning for e-scooter use in metropolitan cities: A case study for Paris, Transportation Research Part D: Transport and Environment, Vol:100, ISSN:1361-9209, Pages:103037-103037

Latinopoulos C, Sivakumar A, Polak J, 2021, Optimal pricing of vehicle-to-grid services using disaggregate demand models, Energies, Vol:14, ISSN:1996-1073

Latinopoulos C, Sivakumar A, Polak JW, 2017, Response of electric vehicle drivers to dynamic pricing of parking and charging services: risky choice in early reservations, Transportation Research Part C: Emerging Technologies, Vol:80, ISSN:0968-090X, Pages:175-189


Latinopoulos C, Daina N, Polak J, Trust in IoT-enabled mobility services: predictive analytics and the impact of prediction errors on the quality of service in bike sharing, Living in the Internet of Things: Cybersecurity of the IoT

Daina N, Latinopoulos C, Manca F, et al., An analysis of the joint dynamics of attitudes, intentions and behaviour in e-cycling, hEART 2018 - 7th Symposium of the European Association for Research in Transportation

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