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A socio-psychological modal choice approach to modelling mobility and energy demand for electric vehicles

机译:一种社会心理模态选择方法,用于建模电动汽车的能力和能源需求

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The development of efficient electric vehicle (EV) charging infrastructure requires modelling of consumer demand at an appropriate level of detail. Since only limited information about real customers is available, most simulations employ a stochastic approach by combining known or estimated business features (e.g. arrival and departure time, requested amount of energy) with random variations. However, these models in many cases do not include factors that deal with the social characteristics of EV users, while others do not emphasise on the economic elements. In this work, we introduced a more detailed demand model employing a modal choice simulation framework based on Triandis’ Theory of Interpersonal Behaviour, which can be calibrated by empirical data and is capable of combining a diverse number of determinants in human decision-making. By applying this model on Switzerland mobility domain, an analysis on three of the most popular EV incentives from both supply and demand sides is provided, which aims for a better understanding of electro-mobility systems by relating its causes and effects.
机译:高效电动汽车(EV)充电基础设施的发展需要以适当的细节建模消费需求。由于只有有关真实客户的信息有限,因此大多数模拟通过组合已知或估计的业务特征(例如到达和出发时间,所需的能量量)来采用随机方法,随机变化。然而,许多情况下这些模型不包括处理EV用户的社会特征的因素,而其他则不强调经济因素。在这项工作中,我们介绍了一种更详细的需求模型,采用基于Triandis的人际行为理论的模态选择仿真框架,其可以通过经验数据校准,并且能够将不同数量的决策者组合在一起。通过将该模型应用于瑞士移动域,提供了对供应和需求侧面的三种最流行的推导措施的分析,旨在通过相关的原因和效果更好地了解电动迁移率系统。

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