Active Mobility Devices (AMDs) such as electric scooters (e-scooters) and electric bikes (e-bikes) are increasingly used on shared paths and Park Connector Networks (PCNs) in Singapore, leading to frequent interactions between AMD riders, pedestrians, and cyclists. To ensure safety, it is crucial to understand the factors associated with collision risk related to these AMDs. To gain insights into the riders’ perspectives on the risk-taking behaviours and attitudes towards safety and sharing paths, a survey was conducted with 369 e-bike and 133 e-scooter riders across Singapore. The collected data was analysed to identify critical features of behaviour, attitudes, and opinions of e-scooters/e-bikes riders and their impact on perceived collision risk. Logistic Regression was used to select the most important behavioural features linked to collision risk, and significance of each was quantified by using the odds ratios in the chosen model. The results reveal that e-bike riders who regularly brake hard to avoid obstacles and highly value capacity of e-bike to carry goods face an increase in collision risk by 49.1% and 43.48% respectively. Those preferring quieter AMDs face 33.31% lower collision risk. Additionally, e-bike riders advocating for more traffic enforcement or the importance of slowing down when overtaking pedestrians face 20.69% and 38.84% lower collision risk respectively. E-scooter riders who manoeuvre quickly to dodge collisions or prioritize passenger-carrying capacity encounter a 142.25% and 67.43% higher collision risk, respectively. Furthermore, e-scooter riders willing to bend rules when not causing inconvenience to others face an increase in collision risk by 123.00%. These outcomes offer significant insights for the design and regulation of active mobility to safeguard all road users in a multi-modal transport environment.

中文翻译：

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在新加坡，电动滑板车和电动自行车骑手的态度、行为和观点对碰撞风险的影响


在新加坡，电动滑板车 （e-scooters） 和电动自行车 （e-bike） 等主动移动设备 （AMD） 越来越多地用于共享路径和公园连接网络 （PCN），导致 AMD 骑手、行人和骑自行车者之间的频繁互动。为了确保安全，了解与这些 AMD 相关的碰撞风险相关因素至关重要。为了深入了解骑手对冒险行为的看法以及对安全和共享路径的态度，对新加坡的 369 名电动自行车和 133 名电动滑板车骑手进行了一项调查。对收集的数据进行了分析，以确定电动滑板车/电动自行车骑手的行为、态度和观点的关键特征及其对感知碰撞风险的影响。使用 Logistic 回归来选择与碰撞风险相关的最重要的行为特征，并使用所选模型中的比值比量化每个特征的显着性。结果显示，经常用力刹车避开障碍物的电动自行车骑手和高度重视电动自行车的货物运载能力，碰撞风险分别增加了 49.1% 和 43.48%。那些喜欢更安静的 AMD 的碰撞风险降低了 33.31%。此外，倡导加强交通执法或在超车时减速的电动自行车骑手的碰撞风险分别降低了 20.69% 和 38.84%。快速机动以躲避碰撞或优先考虑乘客载客量的电动滑板车骑手的碰撞风险分别高出 142.25% 和 67.43%。此外，愿意在不给他人带来不便的情况下改变规则的电动滑板车骑手面临的碰撞风险增加了 123.00%。 这些结果为主动出行的设计和监管提供了重要的见解，以保护多式联运环境中的所有道路使用者。