PhD Candidate · Researcher
Dimitris’ expertise focuses on modelling the dynamics of travel behaviour for demand forecasting within a new mobility services environment. His work is based on machine learning (ML) techniques, Markov decision processes (MDPs) and dynamic discrete choice models (DDCMs). He has an engineering background with plentiful experience on optimization modelling and is currently a Doctoral Researcher at UCL Energy Institute.
Roadworks interact with demand, network structure and alternative routes. A planner may need to compare many combinations of closed sections and demand levels before…
A policy can change where households and firms locate, how people organise a day, and how vehicles move through the network. These effects unfold…
The Urban Transformation Acceptance and appropriation Questionnaire (UTAQ) was developed by UCL to establish the socio-cultural baseline for citizens by explaining and measuring citizen…
Hosig Lee; Lampros Yfantis; Dimitrios Pappelis; Emmanouil Chaniotakis
D Pappelis; M Kamargianni; E Chaniotakis
Dimitrios Pappelis; Emmanouil Chaniotakis; Maria Kamargianni
