Modelling electrical car diffusion based on agents

Yu, Lei, Zhang, Tao, Siebers, Peer-Olaf and Aickelin, Uwe (2012) Modelling electrical car diffusion based on agents. International Journal of Digital Content Technology and its Applications (JDCTA), 6 (19). pp. 424-431. ISSN 1975-9339

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Replacing traditional fossil fuel vehicles with innovative zero-emission vehicles for the transport in cities is one of the major tactics to achieve the UK government 2020 target of cutting emission. We are developing an agent-based simulation model to study the possible impact of different governmental interventions on the diffusion of such vehicles. Options that could be studied with our what-if analysis to include things like car parking charges, price of electrical car, energy awareness and word of mouth. In this paper we present a first case study related to the introduction of a new car park charging scheme at the University of Nottingham. We have developed an agent based model to simulate the impact of different car parking rates and other incentives on the uptake of electrical cars. The goal of this case study is to demonstrate the usefulness of agent-based modelling and simulation for such investigations.

Item Type: Article
Keywords: Agent Based Simulation, Electrical Car Diffusion, Car Parking Charges
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:
Depositing User: Aickelin, Professor Uwe
Date Deposited: 30 Jun 2016 08:53
Last Modified: 04 May 2020 16:34

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