共享电动滑板车:最后的模式?

IF 5.1 2区 工程技术 Q1 TRANSPORTATION Travel Behaviour and Society Pub Date : 2024-07-19 DOI:10.1016/j.tbs.2024.100864
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引用次数: 0

摘要

在本文中,我们将评估共享电动滑板车是否会在匆忙的情况下使用,以避免迟到,我们将这种出行定义为 "最后一分钟出行"。我们利用斯德哥尔摩共享电动滑板车的数据确定了 "最后一分钟出行 "的出行特征。我们分析了到达时间模式、距离、持续时间和速度与期望到达时间的关系。我们观察到,在工作日早晨,整点前结束的出行次数达到高峰,而半点前结束的出行次数高峰较小。这些车次的平均车程较短,平均车速较高,表明最后一分钟车次所占比例较大。当假定的首选到达时间发生变化,以及与迟到相关的风险增加时,到达模式也会发生变化。此外,整点前后在公共交通附近出发的出行比例增加,这表明部分最后一分钟出行也可能是最后一英里出行。我们的研究结果表明,虽然最后一分钟出行在每个用户中并不常见,但在工作日上午的出行中确实占了相对较大的比例。这些结果凸显了共享电动滑板车服务的一个重要细分市场,也可以解释为什么一些研究报告称电动滑板车的使用取代了步行。
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Shared e-scooters: A last-minute mode?

In this paper we assess whether shared e-scooters are being used in hurried situations to avoid arriving late, making trips we define as last-minute trips. We identify trip characteristics for last-minute trips using data from shared e-scooters in Stockholm. Trip arrival time patterns, distances, durations, and speeds are analyzed in relation to desired arrival times. We observe a peak in the number of trips ending before the full hour and a smaller peak of trips ending before the half hour of weekday mornings. These trips have lower average trip durations and higher average speeds, indicating a larger share of last-minute trips. Arrival patterns shift when the assumed preferred arrival time changes, and when the risk associated with arriving late increases. Furthermore, there is an increased share of trips that started close to public transportation around the full hour, indicating that a portion of last-minute trips may also be last-mile trips. Our results show that while last-minute trips are infrequent per user, they do make up a relatively large share of weekday morning trips. These results highlight an important market segment for shared e-scooter services and may also explain why some research reports e-scooter usage replacing walking.

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来源期刊
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
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