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Modelling electrical car diffusion based on agents

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

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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.

Citation

Yu, L., Zhang, T., Siebers, P., & Aickelin, U. (2012). Modelling electrical car diffusion based on agents. https://doi.org/10.4156/jdcta.vol6.issue19.52

Journal Article Type Article
Acceptance Date Oct 26, 2012
Publication Date Oct 30, 2012
Deposit Date Jun 30, 2016
Publicly Available Date Mar 28, 2024
Journal International Journal of Digital Content Technology and its Applications (JDCTA)
Electronic ISSN 1975-9339
Peer Reviewed Peer Reviewed
Volume 6
Issue 19
DOI https://doi.org/10.4156/jdcta.vol6.issue19.52
Keywords Agent Based Simulation, Electrical Car Diffusion, Car Parking Charges
Public URL https://nottingham-repository.worktribe.com/output/711727
Publisher URL http://www.aicit.org/jdcta/global/paper_detail.html?jname=JDCTA&q=1881

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