References of "Viti, Francesco 50003272"
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See detailMaaS modelling: a review of factors, customers’ profiles, choices and business models
Cisterna, Carolina UL; Negarsadat, Madani; Bandiera, Claudia UL et al

Scientific Conference (2022, November)

Mobility-as-a-Service (MaaS) is regarded as one of the emerging solutions to offer integrated, seamless, and flexible multi-modal mobility services as an alternative to privately owned mobility resources ... [more ▼]

Mobility-as-a-Service (MaaS) is regarded as one of the emerging solutions to offer integrated, seamless, and flexible multi-modal mobility services as an alternative to privately owned mobility resources. MaaS gathers collective services such as public transport, shared solutions and other types of new mobility (e.g., on-demand ride services) and ancillary services (e.g., discounted parking) in bundles, accessed via monthly subscriptions. The key distinction between this system and traditional multi-modal systems managed by independent service providers is that payment for services is done through a single digital platform. MaaS is expected to change the way users will choose their modes of transport to reach their daily activities, and how service providers will generate profits, cooperate, and compete. From a wider perspective, MaaS is expected to favour a decline in car ownership and foster sustainable mobility, especially if the services increase the efficiency and utilisation of mass transit. To that aim, it is critical to obtain a thorough grasp of feasible and sustainable business models that suit the diverse needs of customers as well as the diverse and often competing objectives of service providers. In contrast, traditional transportation planning models typically assess solutions in a limited period of time (i.e., the peak hour) and use different simplifying assumptions (e.g., single trip-based choices, no interaction between service providers). This paper aims to provide a general modelling framework relating all main actors in the MaaS ecosystem and identify and discuss all factors that are considered relevant to define customers’ profiles and business models based on a comprehensive review of the literature. Gaps and challenges from the current studies are highlighted and future research directions are recommended. [less ▲]

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See detailThe impact of total cost of ownership on MaaS system appeal using an agent-based approach
Cisterna, Carolina UL; Viti, Francesco UL; Bigi, Federico UL

in The impact of total cost of ownership on MaaS system appeal using an agent-based approach (2022, September)

Despite the interest in the MaaS system is growing fast within the scientific community, it remains uncertain if MaaS could be a potential tool able to reduce car ownership. This study aims to capture the ... [more ▼]

Despite the interest in the MaaS system is growing fast within the scientific community, it remains uncertain if MaaS could be a potential tool able to reduce car ownership. This study aims to capture the impact of the total cost of ownership (TCO) on MaaS demand by endogenizing the MaaS choice and the TCO within the users’ travel choice in an agent-based model. We simulate different TCO price range starting from a benchmark cost in the literature and embed a specific type of MaaS plan which gives unlimited access to the services. Results show a significant growth of MaaS demand when TCO rises, in particular MaaS members are car users who shift their mode choice to public transport by travelling within more trips but in a shorter time slot. In contrast, MaaS users employ public transport for short trips while they still employ cars reducing their travel time but employing the same number of trips when TCO decreases. Results suggest that MaaS might become a more sustainable service by developing specific subsidies to discourage car ownership and by increasing mobility accessibility. [less ▲]

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See detailComparing MaaS Business Plans Using an Agent Based Modelling Approach
Cisterna, Carolina UL; Viti, Francesco UL; Bigi, Federico UL

Scientific Conference (2022, June 02)

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 ... [more ▼]

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 [less ▲]

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See detailEvaluating Mobility Service Providers’ Strategies in an Activity-Based Supernetwork
Bandiera, Claudia UL; Connors, Richard UL; Viti, Francesco UL

Scientific Conference (2022, June)

A Mathematical Problem with Equilibrium Constraints (MPEC) is formulated to capture the relationships between multiple Mobility Service Providers (MSPs) and the users of a multimodal transport network ... [more ▼]

A Mathematical Problem with Equilibrium Constraints (MPEC) is formulated to capture the relationships between multiple Mobility Service Providers (MSPs) and the users of a multimodal transport network. The network supply structure is represented as a supernetwork where users’ daily activity chains are represented sequentially and their modal choices to reach different destinations are based on the mobility services active in each connection. At the upper level, a profit maximization formulation is introduced to describe MSPs’ behaviour. At the lower level, groups of users choose the routes with the lowest cost, according to Wardrop’s first equilibrium principle. Due to non-separable interactions between supernetwork links, the equilibrium conditions defining users travel behaviour are written as Variational Inequality (VI). Finally, a numerical example is presented in order to show the characteristics of the model when car-sharing, bus and private car are available in the network. [less ▲]

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See detailIS PERIMETER CONTROL AN EMERGING STRUCTURE IN NETWORK-WIDE URBAN TRAFFIC MANAGEMENT?
Rinaldi, Marco; Viti, Francesco UL; Serge, Hoogendoorn

Scientific Conference (2022, January)

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See detailAssessing Equity in Carsharing Systems: The case of Munich, Germany
Giorgione, Giulio; Viti, Francesco UL

in Transportation Research Procedia (2022)

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See detailAnalysis of MaaS membership attributes: An agent-based approach
Cisterna, Carolina UL; Bigi, Federico UL; Tinessa, Fiore et al

in Transportation Research Procedia (2022)

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See detailEditorial: Managing future motorway and urban traffic systems
Viti, Francesco UL; Papamichail, Ioannis; Menendez, Monica et al

in Transportation Research. Part C, Emerging Technologies (2022)

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See detailPrinciples for setting single or multiline bus holding control based on network characteristics
Laskaris, Georgios; Cats, Oded; Jenelius, Erik et al

Scientific Conference (2022)

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See detailAn advanced genetic algorithm for large-scale mixed-fleet multi-terminal electric bus scheduling
Rinaldi, Marco; Bosi, Tommaso; Viti, Francesco UL et al

Scientific Conference (2022)

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See detailIdentifying the Major Causes Associated to Rail Intermodal Operation Disruptions Using Causal Machine Learning
Pineda Jaramillo, Juan Diego UL; McDonald, William; Zheng, Wei et al

in Transportation Research Board 101st Annual Meeting (2022)