BARTOLOMEO SILVESTRI

PhD student and research fellow in the Polytechnic University of Bari, Italy

“Electric Vehicles (EVs), Sharing System, Reallocation and Balancing of sharing EVs within a city through an incentive system”

Abstract

The presentation shows new mobility technologies and concepts to improve the citizen life in the urban area. Moreover an innovative approach with incentive scheme in a sharing system with Electric Vehicles (EVs) is presented.

Transport externalities are more relevant in urban areas because there are more vehicles and more people. New technologies in mobility sector allow reducing these negative impacts.

Sharing system with EVs is a valid alternative to the current concept of urban mobility with private vehicles. The reallocation task, strongly affects the company operating cost, and consequently the service price for users. An incentive scheme is proposed to involve users in the reallocation with a dual purpose: reduce the reallocation cost and increase user loyalty.

Short bio

Bartolomeo Silvestri is a third-year PhD student and research fellow in the Polytechnic University of Bari, Italy. His doctoral research investigates sustainable transport in smart cities, both for the mobility of people and for the last mile logistics. He is focusing on EVs, ELVs and new mobility concepts such as Mobility as a Service, sharing system and innovative approach to engage users. He analyzes also the transport externalities, especially in urban area and energy consumption with the use of EVs as storage in a smart city. He co-authored of several scientific papers in international conference and journal. He holds a master’s degree in Management Engineering with specialization in environmental management of companies, from Polytechnic University of Bari, Italy, with a thesis on the optimization of the plants configuration for recovery and treatment of solid urban waste in metropolitan Bari area. He holds a degree in Management Engineering from Polytechnic University of Bari, Italy, with a thesis on the optimization of the train seller point in Apulia region.