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Modelling electrical car diffusion based on agents

Yu, Lei; Zhang, Tao; Siebers, Peer-Olaf; Aickelin, Uwe

Authors

Lei Yu

Tao Zhang

Uwe Aickelin

Abstract

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.

Journal Article Type Article
Publication Date Oct 30, 2012
Journal International Journal of Digital Content Technology and its Applications (JDCTA)
Electronic ISSN 1975-9339
Peer Reviewed Peer Reviewed
Volume 6
Issue 19
Institution Citation Yu, L., Zhang, T., Siebers, P., & Aickelin, U. (2012). Modelling electrical car diffusion based on agents. doi:10.4156/jdcta.vol6.issue19.52
DOI https://doi.org/10.4156/jdcta.vol6.issue19.52
Keywords Agent Based Simulation, Electrical Car Diffusion, Car Parking Charges
Publisher URL http://www.aicit.org/jdcta/global/paper_detail.html?jname=JDCTA&q=1881
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf




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