The popularity and proliferation of electric scooters (e-scooters) as a micromobility solution in our cities and urban communities has been rapidly rising. Rent-by-the-minute pricing and a healthy competition between micromobility service providers is also benefiting riders with low trip costs. However, an unprepared urban infrastructure, combined with uncertain operation policies and poor regulation enforcement, has resulted in e-scooter riders encroaching public spaces meant for pedestrians, thus causing significant safety concerns both for themselves and the pedestrians. As a consequence, it has become critical to understand the current state of pedestrian safety in our urban communities vis-\`{a}-vis e-scooter services, identify factors that impact pedestrian safety due to such services, and determine how to support pedestrian safety going forward. Unfortunately, to date there have been no realistic, data-driven efforts within the research community that address these issues. In this work, we conduct a field study to empirically investigate crowd-sensed encounter data between e-scooters and pedestrian participants on two urban university campuses over a three-month period. We also analyze encounter statistics and mobility trends that could identify potentially unsafe spatio-temporal zones for pedestrians. This first-of-its-kind work provides a preliminary blueprint on how crowd-sensed micromobility data can enable safety-related studies in urban communities.

中文翻译：

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电动滑板车对行人安全的影响：使用行人人群感应进行的实地研究

电动滑板车（e-scooter）作为一种微型移动解决方案在我们的城市和城市社区中的普及和扩散一直在迅速上升。按分钟计费的定价和微型交通服务提供商之间的良性竞争也使低旅行成本的乘客受益。然而，毫无准备的城市基础设施，加上不确定的运营政策和执法不力，导致电动滑板车骑手侵占了供行人使用的公共空间，从而对他们自己和行人造成了严重的安全问题。因此，了解我们城市社区中行人安全的当前状态与电动滑板车服务相比变得至关重要，确定因此类服务而影响行人安全的因素，并确定未来如何支持行人安全。不幸的是，迄今为止，研究界还没有解决这些问题的现实的、数据驱动的努力。在这项工作中，我们进行了一项实地研究，以实证调查电动滑板车和行人参与者在三个月内在两个城市大学校园中的人群感应相遇数据。我们还分析了可以识别行人潜在不安全时空区域的遭遇统计数据和移动趋势。这项史无前例的工作提供了一个初步蓝图，说明人群感应的微移动数据如何能够在城市社区中进行安全相关的研究。我们进行了一项实地研究，以实证调查电动滑板车和行人参与者在三个月内在两个城市大学校园中的人群感应相遇数据。我们还分析了可以识别行人潜在不安全时空区域的遭遇统计数据和移动趋势。这项史无前例的工作提供了一个初步蓝图，说明人群感应的微移动数据如何能够在城市社区中进行安全相关的研究。我们进行了一项实地研究，以实证调查电动滑板车和行人参与者在三个月内在两个城市大学校园中的人群感应相遇数据。我们还分析了可以识别行人潜在不安全时空区域的遭遇统计数据和移动趋势。这项史无前例的工作提供了一个初步蓝图，说明人群感应的微移动数据如何能够在城市社区中进行安全相关的研究。