ADDRESSING THE IMPACT OF MAINTENANCE IN SHUNTING OPERATIONS THROUGH SHUNT-IN POLICIES FOR FREIGHT TRAINS OPERATIONS.

Scientific Conference (2023)

Exploring the potential of Google Popular Times for transit demand estimation

Scientific Conference (2023)

Missions and factors determining the demand for affordable mass space tourism in the United States: A machine learning approach

in Acta Astronautica (2023), 204

The impact of total cost of ownership on MaaS system appeal using an agent-based approach

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 ▲]

Comparing MaaS Business Plans Using an Agent Based Modelling Approach

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 ▲]

Evaluating Mobility Service Providers’ Strategies in an Activity-Based Supernetwork

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 ▲]

Estimating Public Transport Demand Information Using Crowdsourced Data

Scientific Conference (2022)

Analysis of MaaS membership attributes: An agent-based approach

in Transportation Research Procedia (2022)

Principles for setting single or multiline bus holding control based on network characteristics

Scientific Conference (2022)

Identifying the Major Causes Associated to Rail Intermodal Operation Disruptions Using Causal Machine Learning

in Transportation Research Board 101st Annual Meeting (2022)