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Driven by change: Commercial drivers' acceptance and efficiency perceptions of light-duty electric vehicle usage in Germany

机译:变革驱动:德国商用驾驶员对轻型电动汽车使用的接受和效率认知

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摘要

By conducting a cross-sectional survey at Deutsche Post, a major German postal delivery service provider, we examine to what extent commercial drivers accept the substitution of conventional cars with light-duty e-vehicles (LDEVs). Specifically, we explore drivers' acceptance from two perspectives. First, we investigate drivers' perceived satisfaction with LDEVs compared to conventional vehicles. Second, we question whether electric cars in general increase drivers' perceived efficiency of them. Combining these two perspectives, we show that the greater the drivers' overall perceived satisfaction with LDEVs is, the higher is the drivers' perceived efficiency of LDEVs. We prove this by means of perceived usefulness (perceived relative advantage) and perceived ease of use (the opposite of perceived complexity) of LDEVs, using adaptations of Davis' Technology Acceptance Model and Rogers' Diffusion of Innovations Theory to form our Unified Technology Acceptance Model (UTAM). Our findings suggest that, on average, drivers are slightly more satisfied with the LDEVs than with the available conventional cars (n = 66). If drivers were able to choose their preferred vehicles, the majority of them would favor LDEVs. We detect statistically significant patterns of latent measures affecting perceived usefulness and perceived ease of use of LDEVs. Although this paper focuses on German delivery service employees, the methodology presented here could easily be applied to any other enterprise in the growing logistics segment which plans to electrify its car fleet. Hence, our contributions are valuable for transportation research and, more specifically, to all potential commercial EV drivers, e.g., our insights might be relevant for the approx. 500,400 drivers employed in the German logistics sector alone.
机译:通过在德国主要邮政服务提供商Deutsche Post进行横断面调查,我们研究了商业驾驶员在多大程度上接受用轻型电动汽车(LDEV)替代传统汽车的情况。具体来说,我们从两个角度探讨驾驶员的接受程度。首先,我们调查了驾驶员与传统车辆相比对LDEV的感觉满意度。其次,我们质疑电动汽车总体上是否会提高驾驶员的感知效率。结合这两种观点,我们表明,驾驶员对LDEV的总体感知满意度越高,驾驶员对LDEV的感知效率就越高。我们通过对戴维斯的技术接受模型和罗杰斯的创新扩散理论进行改编,形成我们的统一技术接受模型,通过对LDEV的感知有用性(感知相对优势)和感知易用性(感知复杂性的相反)来证明这一点。 (UTAM)。我们的研究结果表明,平均而言,驾驶员对LDEV的满意度比对传统汽车的满意度(n = 66)略高。如果驾驶员能够选择自己喜欢的车辆,则大多数人会青睐LDEV。我们检测潜在影响指标的统计显着性模式,这些模式会影响LDEV的有用性和易用性。尽管本文重点关注德国送货服务的员工,但此处介绍的方法可以轻松地应用于不断增长的物流部门中计划将其车队电气化的任何其他企业。因此,我们的贡献对于交通研究尤其是对所有潜在的商用EV驾驶员而言都是宝贵的,例如,我们的见解可能与大约10仅德国物流部门就雇用了500,400名司机。

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