Comparing MaaS Business Plans Using an Agent Based Modelling Approach

Cisterna, Carolina; Viti, Francesco; Bigi, Federico

Reference : Comparing MaaS Business Plans Using an Agent Based Modelling Approach


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Civil engineering
	To cite this reference:	http://hdl.handle.net/10993/53504

Title :	Comparing MaaS Business Plans Using an Agent Based Modelling Approach
Language :	English
Author, co-author :	Cisterna, Carolina [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Viti, Francesco [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Bigi, Federico [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Publication date :	2-Jun-2022
Peer reviewed :	Yes
Event name :	HEART 2022 10th symposium of European association for research in transportation
Event date :	from o1-06-2022 to 3-06-2022
Keywords :	[en] Agent-based model ; business models ; MaaS membership
Abstract :	[en] The Mobility-as-a-service is based on customized bundles in which different mobility services are gathered under one subscription-based digital platform. Currently, in the literature MaaS packages have been customized and hypothesized through surveys and pilot projects, underlining the lack of a model able to capture and compare MaaS business plans when different bundles are provided. This study aims to simulate different MaaS plans in the users’ mode choice set using an agent-based model and to study the MaaS potential demand heterogeneity. Results show that MaaS users who experience long daily travel times are indifferent to the type of package provided, while time-limited package members substitute the car by travelling longer distances using public transport and free-floating car-sharing services. In contrast, the trip-discounted bundle members are less willing to substitute the car and they use public transport within a long trip chain, reducing their trip time
Permalink :	http://hdl.handle.net/10993/53504

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