Riding private or shared e-scooters or both – What influences the uptake decision?

IF 4.4 2区 工程技术 Q1 PSYCHOLOGY, APPLIED
Fariborz Mansourifar , Narelle Haworth , Zohre Ahmadabadi , Christopher R. Cherry
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Abstract

Our understanding of e-scooter use and safety is largely based on research using data from single shared e-scooter operators. Meanwhile, private e-scooters are becoming increasingly popular in many cities, and many riders can choose between private e-scooters and shared e-scooters from multiple providers − or they can ride both. Yet, little is known about the extent to which this occurs, or how shared and private e-scooter riders and their riding patterns differ. This paper uses survey data from Australia to address the gaps identified above, namely (1) the extent to which riders use shared e-scooters from multiple providers; (2) the proportion of riders who use both shared and private e-scooters; and (3) the characteristics of the three groups of riders (private only − PR, shared only − SH, and both − PS) and their mobility patterns. An online survey completed in July 2023 and December to June 2024 provided valid data for 732 adult riders of shared and private e-scooters across Australia. Decision tree analysis using the Exhaustive CHAID algorithm showed that age was the most significant predictor of type of riding (SH younger than PR). Analysis of the riding patterns revealed that the differences between trips are more pronounced than the differences between riders using the same type of e-scooter. PS and PR riders rode more than SH riders. This knowledge could potentially have implications for policies seeking to improve the safety and sustainability of e-scooters as a transportation and leisure mode.
骑私人或共享电动滑板车,或两者兼而有之——是什么影响了选择决策?
我们对电动滑板车使用和安全性的理解主要基于对单个共享电动滑板车运营商数据的研究。与此同时,私人电动滑板车在许多城市越来越受欢迎,许多骑行者可以在私人电动滑板车和多家供应商的共享电动滑板车之间做出选择,或者他们可以两者都骑。然而,人们对这种情况的发生程度知之甚少,也不知道共享电动滑板车和私人电动滑板车的骑手及其骑行模式有何不同。本文使用来自澳大利亚的调查数据来解决上述差距,即(1)乘客使用来自多个供应商的共享电动滑板车的程度;(2)同时使用共享和专用电动滑板车的比例;(3)专车-公共交通、专车-公共交通和两者都有-公共交通的三类乘客特征及其出行模式。一项在线调查于2023年7月和2024年12月至6月完成,为澳大利亚732名共享和私人电动滑板车的成年骑手提供了有效数据。利用穷列式CHAID算法进行决策树分析,结果表明年龄是骑行类型最显著的预测因子(SH小于PR)。对骑行模式的分析显示,与使用同一类型电动滑板车的骑手之间的差异相比,不同行程之间的差异更为明显。PS和PR骑手比SH骑手骑得更多。这一知识可能会对寻求提高电动滑板车作为交通和休闲方式的安全性和可持续性的政策产生潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.60
自引率
14.60%
发文量
239
审稿时长
71 days
期刊介绍: Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.
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