The potential success of shared mobility services in the urban area strongly depends on careful tariff planning, adequate sizing of the fleet and efficient integrated public transport system, as well as on the application of policies in favor of sustainable modes of transport. The balance between earnings and expenses is not always an easy target for the companies in those cities where these services are not well-rooted in the citizens’ mobility habits. Often only large operators in the sector can continue to offer a service generating profit. However, several factors can determine the success or the failure of shared mobility services. The objective of this study is to identify, thanks to the help of a case study, success and failure factors, developing an approach that is supportive for companies in managing the services and optimizing fares and fleet to increase the number of members and maximize profits. The city of Palermo has been chosen as a case study: the “Amigo” carsharing service - partly station-based, partly free-floating - is a service managed by the municipal company AMAT S.p.A., which operates also the public transport service.
|Titolo della pubblicazione ospite||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Numero di pagine||14|
|Stato di pubblicazione||Published - 2020|
|Nome||LECTURE NOTES IN ARTIFICIAL INTELLIGENCE|
- Theoretical Computer Science
- Computer Science(all)