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   Identifying the rail operating features associated to intermodal freight rail operation delaysPineda Jaramillo, Juan Diego  ; Viti, Francesco in Transportation Research Part C: Emerging Technologies (2023), 147 Exploring the potential of Google Popular Times for transit demand estimationVitello, Piergiorgio ; Fiandrino, Claudio ; Connors, Richard et alScientific Conference (2023) Detailed reference viewed: 29 (1 UL) ADDRESSING THE IMPACT OF MAINTENANCE IN SHUNTING OPERATIONS THROUGH SHUNT-IN POLICIES FOR FREIGHT TRAINS OPERATIONS.Bigi, Federico ; ; Pineda Jaramillo, Juan Diego et alScientific Conference (2023) Detailed reference viewed: 24 (2 UL)Missions and factors determining the demand for affordable mass space tourism in the United States: A machine learning approach; Pineda Jaramillo, Juan Diego ; et alin Acta Astronautica (2023), 204 MaaS modelling: a review of factors, customers’ profiles, choices and business modelsCisterna, Carolina ; ; Bandiera, Claudia et alScientific 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 ▲] Detailed reference viewed: 40 (0 UL)The impact of total cost of ownership on MaaS system appeal using an agent-based approachCisterna, Carolina ; Viti, Francesco ; Bigi, Federico 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 ▲] Detailed reference viewed: 21 (0 UL)Comparing MaaS Business Plans Using an Agent Based Modelling ApproachCisterna, Carolina ; Viti, Francesco ; Bigi, Federico 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 ▲] Detailed reference viewed: 23 (0 UL)The Wagon Assignment Policy problem: Policy Comparison on the Wagon Fleet optimization.Bigi, Federico ; ; Pineda Jaramillo, Juan Diego et alPresentation (2022, June 02) COMPETITION AND COOPERATION BETWEEN SUPPLIERS IN MULTIMODAL NETWORK DESIGN PROBLEMSBandiera, Claudia ; Connors, Richard ; Viti, Francesco Scientific Conference (2022, June) Detailed reference viewed: 17 (0 UL)Evaluating Mobility Service Providers’ Strategies in an Activity-Based SupernetworkBandiera, Claudia ; Connors, Richard ; Viti, Francesco 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 ▲] Detailed reference viewed: 18 (0 UL)IS PERIMETER CONTROL AN EMERGING STRUCTURE IN NETWORK-WIDE URBAN TRAFFIC MANAGEMENT?; Viti, Francesco ; Scientific Conference (2022, January) Detailed reference viewed: 18 (0 UL)Assessing Equity in Carsharing Systems: The case of Munich, Germany; Viti, Francesco in Transportation Research Procedia (2022) Detailed reference viewed: 17 (0 UL)Estimating Public Transport Demand Information Using Crowdsourced DataVitello, Piergiorgio ; Connors, Richard ; Viti, Francesco Scientific Conference (2022) Detailed reference viewed: 28 (0 UL)Analysis of MaaS membership attributes: An agent-based approachCisterna, Carolina ; Bigi, Federico ; et alin Transportation Research Procedia (2022) Detailed reference viewed: 15 (0 UL)Identifying the Major Causes Associated to Rail Intermodal Operation Disruptions Using Causal Machine LearningPineda Jaramillo, Juan Diego ; ; et alin Transportation Research Board 101st Annual Meeting (2022) Editorial: Managing future motorway and urban traffic systemsViti, Francesco ; ; et alin Transportation Research. Part C, Emerging Technologies (2022) Detailed reference viewed: 16 (0 UL)An advanced genetic algorithm for large-scale mixed-fleet multi-terminal electric bus scheduling; ; Viti, Francesco et alScientific Conference (2022) Detailed reference viewed: 15 (0 UL)Principles for setting single or multiline bus holding control based on network characteristics; ; et al Scientific Conference (2022) Detailed reference viewed: 15 (0 UL)Luxembourg 2050 - A Guide on Repairing Commercial Zones : Report Phase 3Becker, Tom ; Gomes Costa, Diogo ; Evrard, Estelle et alReport (2022) Detailed reference viewed: 185 (27 UL) |
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