滑行到位:不同类型基础设施的舒适度如何影响共享电动滑板车出行

Adam Weiss , Sam Pollock , Lina Kattan
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引用次数: 0

摘要

共享电动滑板车是一种不断发展的颠覆性微型交通技术。包括卡尔加里在内的几个加拿大城市已经启动了试点项目,以测试这些微型交通选择。作为卡尔加里试点项目的一部分,启动了一项公众参与调查,以收集有关公众对共享电动滑板车看法的信息。该调查包括一系列问题,涉及用户对在各种基础设施类型(道路、自行车道、人行道和专用道)上使用共享电动滑板车舒适度的看法,以及一个有关电动滑板车使用频率的问题。一般舒适度和在最常用的基础设施类型上的具体舒适度预计与使用频率高度相关。我们提出了一个联合有序选择模型,研究调查对象的不同社会人口特征和典型出行模式如何影响他们对这些不同类型基础设施的舒适度感知及其使用电动滑板车的频率。模型估计结果表明,不同年龄和性别的人群对电动摩托车的使用并不一致,而基础设施、骑行舒适度和电动摩托车的使用是相互关联的。电动滑板车的骑行舒适度与基础设施类型呈负相关,而基础设施类型会导致电动滑板车与机动车和行人产生更多潜在的互动。这些结果将有助于决策者调整新政策和基础设施的优先次序,以提高电动滑板车的总体使用率,并最大限度地发挥这些新技术将带来的益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scooting into place: How comfort on different infrastructure types influences shared e-scooter trip making
Shared e-scooters are a growing disruptive micro-mobility technology. Several Canadian cities, including Calgary, have launched pilot programs to test these micro-mobility options. As part of the Calgarian pilot, a public engagement survey was launched to collect information about the public’s perception of shared e-scooters. The survey includes a set of questions related to users’ perception of comfort using shared e-scooters on various infrastructure types: roads, bike lanes, sidewalks and dedicated pathways, as well as a question related to the frequency of use of the e-scooters. Comfort in general and specific comfort on the type of infrastructure most used is expected to have a high degree of correlation with the frequency of use. We present a joint ordered choice model examining how different sociodemographic characteristics and typical travel patterns of the survey respondents influence perceptions of comfort on these different infrastructure types and their frequency of e-scooter use. The model estimation results show that e-scooter use is not uniform across age and gender demographics and that infrastructure, riding comfort, and e-scooter use are linked. E-scooter riding comfort was negatively associated with infrastructure types that led to more potential interactions with motor vehicles and pedestrians. These results will allow decision makers to tailor new policies and prioritize infrastructure to improve the overall usage of e-scooters and maximize the benefits these new technologies will provide.
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