开发确定电动摩托车危险热点的多种方法

IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL
Michael Hardinghaus, Simon Nieland, Rebekka Oostendorp, Jan Weschke
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引用次数: 0

摘要

近年来,欧洲许多城市都引入了电动摩托车。在一些地方,我们目睹了这种新型交通工具的迅速普及,这主要是公共共享计划的结果。一些事故、受伤甚至死亡事件引起了人们对这些车辆安全性的质疑。对这些问题的研究主要是利用官方的碰撞数据和受伤及住院治疗的具体数据。到目前为止,研究主要集中在调查典型的受伤模式和估计风险水平上。至于冲突和碰撞发生的具体地点,人们知之甚少。因此,本文开发了一种方法,用于调查柏林市主动交通系统中存在潜在危险互动的地点。该方法包括探索性专家访谈、在线投票和定量分析。对于后者,我们结合了三个数据集。首先,我们使用官方数据研究碰撞热点。其次,我们利用骑车人智能手机上的加速度传感器数据来寻找突然移动的地点。第三,我们使用电动摩托车共享系统运营商提供的行程数据。结果显示,许多与行人的冲突都是由停放的电动滑板车引起的。其次,电动滑板车出行主要集中在城市内部和特定路线上。本研究为进一步开展重要研究奠定了基础,通过确定柏林市的九个特定地点,详细调查热点地区的互动情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a multi-method approach to identifying e-scooter hazard hotspots

In recent years, e-scooters have been introduced in many European cities. In several places we have witnessed a rapid uptake of this new mode of transport mainly as a result of public sharing schemes. A number of incidents, injuries and even fatalities have given rise to questions regarding the safety of these vehicles. These questions are being researched mainly using official crash data and data specifying injuries and hospital treatment. Until now, the research has focused on investigating typical injury patterns and estimating risk levels. Very little is known about exactly where conflicts and crashes occur. Knowledge of hazard hotspots is crucial when investigating risk levels and improving safety for all road users.

Hence, this paper develops an approach to investigating locations with potentially dangerous interactions within the active mobility system in the city of Berlin. The approach consists of explorative expert interviews, an online poll, and quantitative analyses. For the latter we combine three datasets. First, we research crash hotspots using official data. Second, we use data based on acceleration sensors from cyclists' smartphones to find locations of sudden movements. Third, we use trip data from the operators of e-scooter sharing systems. The information gathered is used in a conclusive expert workshop to identify hazard hotspots.

Results show that many of the conflicts with pedestrians are caused by parked e-scooters. Second, e-scooter trips are concentrated in the inner city and along specific routes. In moving traffic, various data sources are used to identify hotspots at intersections and in areas between intersections.

The present research lays the foundation for important further studies to investigate interactions at hotspots in detail by determining nine specific locations in the city of Berlin.

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来源期刊
CiteScore
13.60
自引率
6.30%
发文量
402
审稿时长
15 weeks
期刊介绍: The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.
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