Mobility as a Service Lab (MaaSLab)

The Mobility as a Service Lab (MaaSLab) is an enthusiastic multidisciplinary research group looking advance research and be at the forefront of the ever-changing transport sector. Springing from the Urban Transport and Energy Group at UCL Energy Institute, MaaSLab aims to develop cutting-edge research regarding new mobility services, providing in-depth insights and guidance about Mobility as a Service to industry and the public sector.

Today, mobility is crossing a new digital frontier in terms of connectivity, the infrastructure and interoperability. Our innovative research becomes meaningful if viewed in tandem with the goals of the Institute, in delivering world-leading learning, research and policy support on the challenges of green energy and the smart cities vision. MaaSlab’s impactful results shape future policies and our activities, approaches and aims help create a more sustainable horizon for transport and mobility.

Our research interests

MaaSLab’s research focuses on new mobility technologies for passenger and freight, such as autonomous vehicles and drones, new mobility concepts, such as Mobility as a Service and Urban Air Mobility, and their integration with the existing transport systems (multimodality).

MaaSLab’s expertise lies on four main topics:

Societal Changes & Consumer Behaviour
Transport Models for Passenger & Freight
New Mobility Services & Business models
Transport Policy & Ethics

Societal Changes & Consumer Behaviour

Photo of many people walking across a road crossing

Behavioural demand modelling and social acceptance: survey design, advanced data collection tools for social research, stated preference experiments design, behavioural demand and choice models, willingness to pay.

Transport Models for Passenger & Freight

Photo of a buses, cars and taxi stopped at a traffic light

Multimodal transport modelling and simulation platforms: integrated spatial and transport modelling platform for evidence-based decision making; machine learning and optimisation algorithms for multimodal operational platforms; algorithms for multimodal simulation platforms used for scenarios testing and planning.

New Mobility Services & Business models

Photo of a hand holding a mobile phone with a train booking app on the screen

Business models: research regarding the penetration of the new mobility technologies and concepts in the market, the operators of these technologies and concepts, the value creation, product design and pricing, the costs and profits.

Transport Policy

Photo of the lights of cars leading up towards a cityscape

Research findings are translated in to policy recommendations to address the needs of different social groups ensuring fair and just policy making.

Consulting

Customised service for industrial partners and public authorities who want to receive tailored made solutions

Research projects

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Mobility as a service in teaching

The MaaSLab group contributes to teaching for the Economics and Policy of Energy and the Environment MSc and Energy Systems and Data Analytics MSc programmes. It also undertakes the supervision of several Master's and PhD students, whose topics are related to transport.

Energy Systems and Data Analytics MSc

Energy Systems and Data Analytics MSc is at the core of MaaSLab's teaching activities with the delivery of the Energy and Transport Data Analytics module, focusing on the study and modelling of transport related complexities and the interconnections with energy systems. MaaSLab also supervises a large number of dissertation on the intersection of energy and transport including the study of Vehicle to Grid technologies, the implications that autonomous vehicles have to energy demand and the exploration of energy efficient last mile logistics concepts.

Modules:

Energy and Transport Analytics

Dissertations:

Evaluating the viability of V2G power dispatch for a decarbonized grid scenario
Impact of autonomous vehicles on demand and decarbonisation

Dynamic Pricing for Air Pollution Reduction: A bi-level optimization model including traffic representation

Researchers

Maria Kamargianni
Deputy Director of UCL Energy Institute
Professor of Transport Systems, Innovation and Sustainability
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Manos Chaniotakis
Lecturer in Transport Modelling and Machine Learning
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Yuerong Zhang
Lecturer in Geospatial Machine Learning
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Paulo Anciaes
Senior Research Fellow - Transport Behaviour Modeller
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Fredrik Monsuur
Research Fellow - Travel Behaviour Modeller
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