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An agent-based model for diffusion of electric vehicles

机译:基于主体的电动汽车扩散模型

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The transition from fuel cars to electric cars is a large-scale process involving many interactions between consumers and other stakeholders over decades. To explore how policies may interact with consumer behavior over such a long time period, we developed an agent-based social simulation model. In this model, detailed data of 1795 respondents have been used to parameterise an agent architecture that addresses different consumer needs and decision strategies. Numerical experiments indicate that effective policy requires a long-lasting implementation of a combination of monetary, structural and informational measures. The strongest effect on emission reduction requires an exclusive support for full battery electric cars and no support for hybrid cars. (C) 2017 Elsevier Ltd. All rights reserved.
机译:从燃油汽车到电动汽车的过渡是一个大规模的过程,涉及数十年来消费者与其他利益相关者之间的许多互动。为了探索政策在如此长的时间内如何与消费者行为互动,我们开发了基于代理的社交模拟模型。在此模型中,已使用1795名受访者的详细数据来设定可解决不同消费者需求和决策策略的代理商架构的参数。数值实验表明,有效的政策要求长期采取货币,结构和信息措施相结合的措施。减排效果最强,需要对全电池电动汽车的独家支持,而不对混合动力汽车的支持。 (C)2017 Elsevier Ltd.保留所有权利。

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