Are shared electric scooters energy efficient?

IF 14.5 Q1 TRANSPORTATION Communications in Transportation Research Pub Date : 2021-12-01 Epub Date: 2021-11-29 DOI:10.1016/j.commtr.2021.100022
Yuxuan Wang , Jiaming Wu , Kequan Chen , Pan Liu
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引用次数: 17

Abstract

Shared electric scooters (e-scooter) are booming across the world and widely regarded as a sustainable mobility service. An increasing number of studies have investigated the e-scooter trip patterns, safety risks, and environmental impacts, but few considered the energy efficiency of e-scooters. In this research, we collected the operational data of e-scooters from a major provider in Gothenburg to shed light on the energy efficiency performance of e-scooters in real cases. We first develop a multiple logarithmic regression model to examine the energy consumption of single trips and influencing factors. With the regression model, a Monte Carlo simulation framework is proposed to estimate the fleet energy consumption in various scenarios, taking into account both trip-related energy usage and energy loss in idle status. The results indicate that 40% of e-scooter battery energy was wasted in idle status in the current practice, mainly due to the relatively low usage rate (0.83) of e-scooters. If the average usage rate drops below 0.5, the wasted energy could reach up to 53%. In the end, we present a field example to showcase how to optimally integrate public transport with e-scooters from the perspective of energy efficiency. We hope the findings of this study could help understand and resolve the current and future challenges regarding the ever-growing e-scooter services.

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共享电动滑板车节能吗?
共享电动滑板车(e-scooter)在全球范围内蓬勃发展,被广泛认为是一种可持续的出行服务。越来越多的研究调查了电动滑板车的出行模式、安全风险和环境影响,但很少考虑电动滑板车的能源效率。在本研究中,我们从哥德堡的一家主要供应商那里收集了电动滑板车的运行数据,以揭示电动滑板车在真实案例中的能效表现。我们首先建立了一个多重对数回归模型来检验单次出行的能源消耗及其影响因素。利用回归模型,提出了一种蒙特卡罗仿真框架来估计不同情况下的车队能耗,同时考虑与出行相关的能耗和怠速状态下的能耗损失。结果表明,在目前的实践中,40%的电动滑板车电池能量在闲置状态下被浪费,主要原因是电动滑板车的使用率相对较低(0.83)。如果平均使用率降至0.5以下,则浪费的能量可达53%。最后,我们给出了一个现场实例,展示了如何从能源效率的角度优化公共交通与电动滑板车的结合。我们希望这项研究的结果可以帮助理解和解决日益增长的电动滑板车服务当前和未来的挑战。
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