Print Email Facebook Twitter Review of whole system simulation methodologies for assessing mobility as a service (Maas) as an enabler for sustainable urban mobility Title Review of whole system simulation methodologies for assessing mobility as a service (Maas) as an enabler for sustainable urban mobility Author Muller, Mark (Villanova University) Park, Seri (Villanova University) Lee, Ross (Villanova University) Fusco, Brett (Delaware Valley Regional Planning Commission) Correia, Gonçalo (TU Delft Transport and Planning) Date 2021 Abstract Mobility as a Service (MaaS) is an emerging concept that is being advanced as an effective approach to improve the sustainability of mobility, especially in densely populated urban areas. MaaS can be defined as the integration of various transport modes into a single service, accessible on demand, via a seamless digital planning and payment application. Recent studies have shown the potential reduction in the size of automobile fleets, with corresponding predicted improvements in congestion and environmental impact, that might be realized by the advent of automated vehicles as part of future MaaS systems. However, the limiting assumptions made by these studies point to the difficult challenge of predicting how the complex interactions of user demographics and mode choice, vehicle automation, and governance models will impact sustainable mobility. The work documented in this paper focused on identifying available methodologies for assessing the sustainability impact of potential MaaS implementations from a whole system (STEEP—social, technical, economic, environmental, and political) perspective. In this research, a review was conducted of current simulation tools and models, relative to their ability to support transportation planners, to assess the MaaS concept, holistically, at a city level. The results presented include: a summary of the literature review, a weighted ranking of relevant transportation simulation tools per the assessment criteria, and identification of key gaps in the current state of the art. The gaps include capturing the interaction of demographic changes, mode choice, induced demand, and land use in a single framework that can rapidly explore the impact of alternative MaaS scenarios, on sustainable mobility, for a given city region. These gaps will guide future assessment methodologies for urban mobility systems, and ultimately assist informed decision‐making. Subject MaaSSimulationSTEEPSustainabilityUrban mobilityUrban regions To reference this document use: http://resolver.tudelft.nl/uuid:d5c9cd65-6eb1-49b0-9790-95d47831e012 DOI https://doi.org/10.3390/su13105591 ISSN 2071-1050 Source Sustainability, 13 (10) Part of collection Institutional Repository Document type journal article Rights © 2021 Mark Muller, Seri Park, Ross Lee, Brett Fusco, Gonçalo Correia Files PDF sustainability_13_05591_v3.pdf 699.63 KB Close viewer /islandora/object/uuid:d5c9cd65-6eb1-49b0-9790-95d47831e012/datastream/OBJ/view