MaaSLab Guest Lecture Series
30 March 2021–29 June 2021, 2:00 pm–3:00 pm
UCL Energy Institute's Mobility-as-a-Service Lab (MaaSLab) welcome you to join their guest lecture series exploring cutting-edge research in the field.
The MaaSLab is an enthusiastic multidisciplinary research team at UCL Energy Institute that keeps at the forefront of the ever-changing transport sector. 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).
From April to June 2021 MaaSlab will be hosting a series of guest lectures and welcome all to join and discover more about Mobility as a Service.
Details and booking
Applying the HARMONY Tactical freight simulator to a case study for zero-emissions zone in Rotterdam
Dr Michiel De Bok | March 30 2021, 14:00 - 15:00 GMT
As part of a broader vision for emission-free city logistics, the city of Rotterdam plans to introduce a zero-emission zone in combination with urban consolidation centers (UCCs) at the outskirt of the city to generate a shift to zero-emission vehicles. For the design of this zero-emission zone many research questions arise that require a systematic analysis of the impacts of the transition scenarios on the freight demand patterns, the use and market shares of new (zero-emission) vehicles, and the impacts of truck flow and emissions. As a case study we implemented heterogenous transition scenarios for each logistic segment into the Tactical Freight Simulator from the project HARMONY and analysed the system wide impacts. This model is multi-agent, empirical and shipment based and simulates long-term tactical choices (distribution channel choice, shipment size and vehicle type choice, sourcing) and short-term tactical choices (tour formation, delivery times).
Activity-based Models for Travel Demand Forecasting
Prof Kostas Goulias | April 27 2021, 16:00 - 17:00 GMT
Activity-based models are model systems designed for travel demand forecasting and have an approximately 40 year history. Their foundation is on microsimulation and random utility models. These model systems synthetically generate populations and their characteristics, contain sophisticated car ownership and type models, and reproduce daily time allocation and travel of people in households and places. Important outputs include estimates of energy consumption, greenhouse gas and other pollutants emissions, and use of the transportation system. In this presentation I review the basic ideas underlying these models and describe the state of the practice in California to address legislative mandates for Sustainable Community Strategies. I will also provide examples of promising future directions and open science consortia initiatives.
MaaS – The Sydney Trial – synthesis and Lessons Learnt
Prof. David Henser | May 25 2021, 10:00 - 11:00 GMT
During 2019 to mid-2020, we undertook a MaaS trial in Sydney to get a better appreciation of all the elements that need careful attention in bringing MaaS into an operational setting. The Sydney MaaS trial as it is now known, is one of the first trials worldwide with transparent reported quantitative and qualitative evidence on MaaS bundle uptake and induced changes in travel behaviour. In this talk David provides an overview of the design of the trial, setting out the trial set-up with a tripartite structure (broker, app developer, university) as a blueprint for trials as well as a synthesis of the main contributions and lessons learnt for future MaaS trials. Partners in the trial are IAG (Insurance Australia Group) and SkedGo under the umbrella of a research project funded to the University of Sydney Institute of Transport and Logistics Studies (ITLS) through the iMOVE CRC.
Managing congestion with Tradable Mobility Credits
Dr Carlos Lima Azevedo | June 29 2021, 14:00 - 15:00 GMT
Tradable mobility credit (TMC) schemes are an approach to travel demand management that have received significant attention in the transportation domain in recent years as a promising means to mitigate the adverse environmental, economic and social effects of urban traffic congestion. In TMC schemes, a regulator provides an initial endowment of mobility credits (or tokens) to all potential travelers. In order to use the transportation system, travelers need to spend a certain amount of tokens (tariff) that could vary with their choice of mode, route, departure time etc. The tokens can be bought and sold in a market that is managed and operated by a regulator at a price dynamically determined by the demand and supply of tokens. In this lecture, we will go over some of the key concepts of TMC and briefly discuss a theoretical study on the efficiency and effectiveness of area-based TMC using the trip-based Macroscopic Fundamental Diagram model for the morning commute problem.