This paper proposes a stochastic variant of the stable matching model from Rasulkhani and Chow [1] which allows microtransit operators to evaluate their operation policy and resource allocations. The proposed model takes into account the stochastic nature of users' travel utility perception, resulting in a probabilistic stable operation cost allocation outcome to design ticket price and ridership forecasting. We applied the model for the operation policy evaluation of a microtransit service in Luxembourg and its border area. The methodology for the model parameters estimation and calibration is developed. The results provide useful insights for the operator and the government to improve the ridership of the service.

Every day we hear about the current state of the climate and how it is degrading very quickly. It is urgent to study ways in which people can change and improve their daily lives towards more sustainable habits. This paper studies graph-based simulation scenarios, focusing on both human and infrastructure characteristics, which could lead to a potential reduction in CO2 emissions. We compare alternative policies with an upper-bound base scenario, in which people use their own cars for their sole use. Most of these scenarios are based on Dijkstras shortest path algorithm, while others serve to underlie our reflections on the feasibility of using minimal spanning trees to solve the problem. The zone selected to illustrate this study is the coastal area of Espinho, a city in Portugal. It is shown that the scenarios with carpooling starting on the cut vertices of a tree generated by linking Dijkstras shortest paths of each agent yield the best results. This approach leads to a reduction in carbon emissions of between 25% and 30%.

eHUBS are on-street locations that bring together e-bikes, e-cargo bikes, e-scooters and/or e-cars, offering users a wide range of options to experiment and use in various situations. The idea is to give a high-quality and diverse offer of shared electric mobility services to dissuade citizens from owning private cars, resulting in a cleaner, more liveable and pleasant cities. The eHUBS project has worked together closely with the TOMP-API Working Group on a technical standard interface for communication between Transport Operators and MaaS Providers while keeping the needs of the public authorities and cities in close consideration. The TOMP-API allows all participating companies to communicate about planning, booking, execution, support, general information and payments of multimodal, end-user specific trips. This TOMP-API environment ensures growth in opportunities for interoperability between multiple parties. The presentation is going to show the importance of this standardisation and the power of the TOMP-API in optimizing data flows between Transport Operators and Maas Providers. Within the eHUBS project, we have created a kiosk application that presents travellers with a clear and understandable overview of (realtime) travel options & information within the direct vicinity of the eHUB, even when they don’t have access to a smartphone. This is achieved by collecting and interpreting data of the Transport Operators providing their services nearby the eHUB point, of course in close cooperation with the local authorities. Because of the local character, the data-sources and quality differ immensely. Some hubs are in densely connection urban areas, but they can also be situated in more rural surroundings. This application is what will be used to illustrate the strength of the TOMP-API, it will show how easy and fast it can be to implement new transport options and make it available directly. Especially when compared to the tedious process of combing to endless API descriptions and data-formats trying to find some unity and ways to reliably incorporate this. Supporting local Transport Operators in adopting this standard will be an important step forward for the digitalisation of the infrastructure in an effective and sustainable manner. The presentation will be hands-on and despite its technical nature, accessible and understandable for a broad audience.