EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
2095. Planning and managing MaaS services
Invited abstract in session WA-55: MOST - MaaS & Innovative Services for Sustainable Mobility, stream Transportation.
Wednesday, 8:30-10:00Room: S02 (building: 101)
Authors (first author is the speaker)
| 1. | Marilisa Botte
|
| Department of Architecture, Federico II University of Naples | |
| 2. | Alessia De Falco
|
| Federico II University of Naples | |
| 3. | Ilaria Henke
|
| Federico II University of Naples | |
| 4. | Fiore Tinessa
|
| Federico II University of Naples | |
| 5. | Luigi Pariota
|
| Federico II University of Naples |
Abstract
Mobility as a Service represents a topical theme in the current research and innovation ecosystem thanks to its potential disruptive impacts on transportation systems.
The current literature shows a lack of tools and examples which could provide public authorities (or other relevant stakeholders) with useful decision-making support to quantitatively evaluate the expected effects of the introduction of MaaS packages on the transportation system, thus conceiving and planning them most properly. Many works in the literature evaluate MaaS effects by means of agent-based simulation tools which miss the systemic and strategic perspective typical of the planning stage. Other contributions fully neglect the planning task, by evaluating the effects of MaaS services as empirical evidence from pilot programs and field trials.
Therefore, this contribution proposes a decision support system for estimating the effects of the introduction of MaaS services on different stakeholders (i.e., MaaS users, other transport systems customers, transport operators, etc.) based on the aggregated representation of demand (in a four-step approach) and supply systems in the presence of MaaS. As a first attempt, the proposed approach has been tested on a toy network to show an example of the quantitative evaluation of the adherence of different MaaS packages to the territorial contexts and governance goals pursued.
The proposed contribution appears to be unique in the current research literature.
Keywords
- Transportation
- Decision Support Systems
- Simulation
Status: accepted
Back to the list of papers