Karen Lucas
Professor of Human Geography, University of Manchester
Dr Karen Lucas is Professor of Human Geography is director of the Manchester Urban Institute and leads the theme on Transport and Mobilities. Karen is a world-leading expert on transport and social justice in the global North and South. She is currently working with communities across Greater Manchester to develop ca blueprint for community transport planning. She has also worked with various governments on several projects to improve the social impact assessment of major transport infrastructures. Karen leads the International Network for Transport and Accessibility in Low Income Communities (INTALInC), which is a global network of academics, policymakers, NGOs and frontline agencies to promote transport justice in Global South cities. She also researches issues of energy poverty and environmental and climate justice in the UK context, currently leading the High-End Energy Consumers project for the Centre for Research of Energy Demand Systems (CREDS), which is funded by UK Research and Innovation.
Stephane Hess
Professor of Choice Modelling, University of Leeds
Stephane Hess is an internationally recognised expert in the data driven study and mathematical modelling of human choice behaviour. He has made contributions to the state of the art in the specification, estimation and interpretation of such models, as well as in facilitating the transition of ideas and approaches across disciplines, notably by also working in mathematical psychology and behavioural economics. Although a majority of his applied work has been conducted in the field of transport, he is also very active in health and environmental economics. Together with David Palma, he is the author of Apollo, a highly flexible and powerful free tool for estimating and applying choice models.
He is Professor of Choice Modelling and Director of the Choice Modelling Centre at the University of Leeds, where he is based in the Institute for Transport Studies. He is also a part-time Professor of Decision modeling, artificial intelligence (AI) and mobility research at Delft University of Technology. He is Honorary Professor in Choice Modelling in the Institute for Transport and Logistics Studies at the University of Sydney and Honorary Professor of Modelling Behaviour in Africa at the University of Cape Town.
Together with his research team at the Choice Modelling Centre, he is setting the research agenda in applying choice modelling in new fields, including education, lifestyle choices, social (network) interactions and joint decision making. Advanced choice models require high quality data, and Hess and his team are leading the field in exploring and exploiting novel data sources, with numerous applications using ‘big data’. He is also the founding editor in chief of the Journal of Choice Modelling and the founder and steering committee chair of the International Choice Modelling Conference. He serves on the editorial advisory board of two other leading journals; Transportation Research Part B and Transportation, as well as academic committees at leading international conferences.
Serge Hoogendoorn
Professor of Smart Urban Mobility, Delft University of Technology
Professor Serge P. Hoogendoorn is an expert in the field of traffic and transportation engineering. He is a distinguished professor in Smart Urban Mobility at Delft University of Technology in the Netherlands. With a strong focus on traffic flow theory, pedestrian and crowd dynamics, and intelligent transportation systems, Professor Hoogendoorn has significantly contributed to advancing knowledge in traffic and transportation domain. His research encompasses the development of mathematical models and simulation tools to understand and improve traffic flow and pedestrian movement in urban environments.
He has published extensively in academic journals and has been involved in numerous national and international research projects aimed at enhancing the efficiency and safety of transportation networks. Professor Hoogendoorn is also recognized for his work on data-driven approaches and the application of artificial intelligence in transportation systems. His efforts in integrating traditional engineering principles with innovative data science methodologies are testaments of his the pursuit for smarter, more efficient urban transportation solutions.