首页> 外文会议>International Conference on Applied Human Factors and Ergonomics >Should I Stay or Should I Go? - Influencing Context Factors for Users' Decisions to Charge or Refuel Their Vehicles
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Should I Stay or Should I Go? - Influencing Context Factors for Users' Decisions to Charge or Refuel Their Vehicles

机译:我应该走还是留? - 影响用户决定收取或加油车辆的背景因素

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Within the transport sector, the use of electric drives and renewable energies can significantly reduce greenhouse gas emissions. However, in Germany, sales figures of battery electric vehicles (BEV) are far below the expectation. A major barrier is the current state of the charging infrastructure (CIS), which is not perceived to be in line with the demand of potential users. For the future positioning of charging infrastructure, a comprehensive understanding of the charging decision is required. Therefore, both current e-vehicle users and potential future users must be considered. In the present study, a two-step methodological approach was applied to gain a better understanding of the influence of the concrete driving situation on the decision to refuel or charge. Initially, interviews were conducted (N = 18) to identify possible motivational factors for the decision. Subsequently, an adaptive choice-based conjoint analysis was designed and carried out (N = 235). The remaining range, the current price, the necessary detour, the type and familiarity of the surroundings, the type and phase of trip and the service offered on site were thereby included to determine their relative importance for the refueling or charging decision. The results indicate that the decision triggers are similar for e-vehicle users and combustion engine users. For both user groups, detour, filling level and price are the most important reasons, while the local services and surroundings are the second most important.
机译:在运输部门内,电驱动器和可再生能量的使用可以显着减少温室气体排放。然而,在德国,电池电动汽车(BEV)的销售数据远远低于期望。主要屏障是收费基础设施(CIS)的当前状态,这不是符合潜在用户的需求。对于收费基础设施的未来定位,需要全面了解收费决策。因此,必须考虑目前的电子车辆和潜在的未来用户。在本研究中,应用了两步方法方法,以更好地了解具体驾驶情况对加油或收费决定的影响。最初,采访(n = 18),以确定决定的可能动力因素。随后,设计并进行了自适应选择的联合分析(n = 235)。其余范围,目前的价格,必要的弯路,周围环境的类型和熟悉程度以及旅行的类型和阶段以及在现场提供的服务,以确定他们对加油或充电决策的相对重要性。结果表明,决策触发器类似于电子车辆用户和燃烧发动机用户。对于两个用户组,绕行,填充水平和价格是最重要的原因,而当地服务和周边地区是第二个最重要的。

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