A Collaborative Decisional System to Support a Business Model for the Development of Charging Infrastructure
The obstacles to the E-Mobility (EM)’s development are widely discussed both in scientific and in industrial fields. Approaches to overcome these obstacles are still not consolidate. At the same time, it is not so clear, what Business Models (BM) are more
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DEIM – Industrial Engineering School, University of Tuscia, Largo dell’Università snc, 01100 Viterbo, Italy ilaria.baffo@unitus.it 2 Istituto di Analisi dei Sistemi ed Informatica “Antonio Ruberti” (IASI), National Research Council (CNR), Via dei Taurini, 19, 00185 Rome, Italy Istituto per le Applicazioni del Calcolo “M. Picone”(IAC), National Research Council(CNR), Via dei Taurini, 19, 00185 Rome, Italy
Abstract. The obstacles to the E-Mobility (EM)’s development are widely discussed both in scientific and in industrial fields. Approaches to overcome these obstacles are still not consolidate. At the same time, it is not so clear, what Busi‐ ness Models (BM) are more sustainable for the owners of Charging Infrastructure (CI). With the aim to support the development of charging network (CN), the authors propose a new BM based on intelligent, collaborative and digital services for all actors of the value chain. The implementation of this BM starts with the development of a decisional structure (DS) and the sharing of data and informa‐ tion among all operators that are involved into the charging process. The main elements of the model are explained and the first results of implementation are given. Future development are discussed to enrich the research and to supply at industrial field a useful tool to face decisions in the real context of CNs. Keywords: Collaborative business models · Service systems ICT oriented · Optimization · Decision support system
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Introduction
The de-carbonisation of the transport sector is a priority goal of the whole European Commission (EC), that has been proved through several efforts, such as the Kyoto Protocol, the European plan on climate change (2009, 20-20-20 goals) and its related white papers. With respect to the targets imposed by the EC on the reduction of CO2 emissions, especially in the transport sector, the development of electric vehicles repre‐ sents an important key driver towards achieving the prefixed objectives. Despite the fact that the benefits related to the diffusion of EM in both urban and/or extra-urban contexts are well known, with reference to their environmental, social and economic impacts, the development of such a market still presents significant impediments, widely discussed in the scientific literature. In particular, the main obstacles are related to the long battery charging time, scepticism among potential end-users [3], high costs of electric cars with © IFIP International Federation for Information Processing 2016 Published by Springer International Publishing Switzerland 2016. All Rights Reserved H. Afsarmanesh et al. (Eds.): PRO-VE 2016, IFIP AICT 480, pp. 569–578, 2016. DOI: 10.1007/978-3-319-45390-3_48
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respect to traditional combustion engine vehicles [22] and, as here studied, the lack of a widespread, accessible and homogeneous recharge infrastructure. The objective of this work is to create a digital and collaborative system to support the decisional processes for the development of new BM for charging services at na
