The primary goal of this study is to quantify the expected effects of Mobility-as-a-Service on travel preferences and travel behaviour in the Netherlands. We do this by studying the expected changes in preferences and behaviour related to the following determinants of travel mode choice: travel time, travel costs, convenience and comfort, flexibility and freedom, willingness to share and certainty. We achieve this by collecting and analysing survey data, including a choice experiment. This allows to detect preferences and trade-offs that people would be willing to make for a system which still does not completely exist in reality. To make choice sets relevant for respondents (e.g. relating their choices to current travel behaviour), we select respondents from the Netherlands Mobility Panel (MPN), which is a household panel started in 2013 that maps the travel behaviour of a certain group of people and households over a period of consecutive years. Our research makes several contributions, including shedding light on the extent to which the promise of MaaS as a tool to assist in the shift towards more sustainable travel can be kept. @en

Unplanned disruptions in transit can have consequent impacts on passengers. The more inconvenienced passengers are, the more likely operators will be negatively impacted. Yet so far, operators and researchers have addressed the rescheduling problem during disruptions mainly with a supply-side focus – timetable, crews, and vehicles – and not with a passenger perspective. Urban rail transit particularly lacks insights in terms of passenger-focused rescheduling. Being able to assess the inconvenience experienced by passengers during disruptions compared with what they normally experience, and being able to compare how different rescheduling strategies affect them are therefore two major challenges. The framework developed in this study precisely aims at tackling these challenges. A case study of the Rotterdam Metro is used to test the framework developed in this paper. Alternative strategies are developed focusing on the incident phase (from the beginning of the incident until its cause is resolved). The application of the framework reveals that a regularity-focused rescheduling strategy would be beneficial for high-frequency service users. Realistically, yearly savings could amount to around €900,000 in terms of societal passenger costs for the operator in the Rotterdam area alone. However, the omnipresence of the punctuality paradigm, through which most operators plan and analyze operations, makes the implementation of passenger-focused strategies a challenging task for traffic controllers. The results of the study are valuable for transit operators worldwide, and the framework could provide decision makers with insights on the performance of different strategies, bringing to light trade-offs between the supply and passenger sides during disruptions.@en