Modelling electrical car diffusion based on agents

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

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.-O., & 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: Jun 30, 2016
• 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
• Contract Date: Jun 30, 2016