研究亮点 Highlights
•Differences between bicycle and e-bike were investigated.
•Latent variables and interrelationships were measured with structural equation modeling.
•E-bikes’ decision-making capacity is affected by infrastructure quality .
•The need for differentiated development of cycling safety was highlighted.
摘要
作为非信号灯路口的常见交通方式，自行车和电动自行车在大多数交通事故中都有涉及。虽然有大量的研究致力于研究自行车和电动自行车造成的安全问题，但对它们之间的差异，尤其是在无信号灯路口的差异，仍然关注有限。本文基于一份自编的调查问卷，对自行车和电动自行车之间的差异进行了比较。这份问卷被分发给自行车用户（N = 453）和电动自行车用户（N = 439）。个人特征、决策能力、对基础设施的感觉、感知的服务水平和感知的风险水平被作为性能指标来描述研究对象的差异。研究使用统计方法和结构方程模型（SEM），主要研究结果表明，在大多数无信号灯的十字路口，自行车和电动自行车的感知服务水平被发现有显著差异。43.4%的电动自行车骑行者经常或总是选择避免在极端天气下骑行，而58.7%的自行车骑行者避免在极端天气下骑行。此外，与自行车相比，电动自行车的决策能力受基础设施质量的影响更大。自行车和电动自行车之间的差异突出了骑行安全教育和执法的差异化发展的需要。
摘要 Abstract
As common transportation modes at non-signalized intersections, bicycles and e-bikes have been involved in most traffic crashes. Although a large number of studies have been dedicated to studying the safety problems caused by bicycles and e-bikes, there is still limited attention paid to the differences between them, especially at non-signalized intersections. This paper compares the differences between bicycles and e-bikes based on a self-administered questionnaire. This questionnaire was distributed to bicycle users (N = 453) and e-bike users (N = 439). The personal characteristics, decision-making capacity, the feeling of infrastructure, perceived level of service, and perceived level of risk were adopted as the performance indicators to depict the difference in the study area. Using statistical methodologies and the Structural Equation Model (SEM), key findings indicate that perceived level of service was found to be significantly different between bicycles and e-bikes at most non-signalized intersections. 43.4 % of e-bike riders often or always choose to avoid riding under extreme weather, while 58.7 % of bicycle riders avoid riding under extreme weather. Moreover, compared with bicycles, e-bikes’ decision-making capacity is affected more by infrastructure quality. The difference between bicycles and e-bikes highlights the need for differentiated development of cycling safety education and law enforcement.
Keywords
Two-wheel vehicles
Assessment
Non-signalized intersections
Structural Equation Model
图表Graphics
图1.选择的无信号交叉口概览
Figure 1. Overview of Selected Non-signalized Intersections
图2.自行车和电动自行车骑手的相关矩阵
Figure 2. Correlation Matrix by Bicycle Riders and E-bike Riders
图3. 不同路口自行车和电动自行车服务水平的平均评分（箱须图 = 95% 置信区间）
Figure 3. Mean Ratings of Level of Service for Bicycles and E-bikes at Different Intersections (whiskers = 95% confidence intervals)
图4. 自行车和电动自行车的积极行为和风险行为
Figure 4. Positive Behaviors and Risk Behaviors by Bicycles and E-bikes
图5. 不同路口自行车和电动自行车问卷记录的感知风险选择
Figure 5. Perceived Risk Options Recorded by Questionnaire of Bicycles and E-bikes at Different Intersections
图6.假说概念模型
Figure 6. Hypotheses Conceptual Model
图7.自行车和电动自行车结构方程模型的路径图
Figure 7. Path Diagram of The SEM Model for Bicycles and E-bikes
原文链接:https://doi.org/10.1016/j.aap.2022.106853
关于Accident Analysis&Prevention
《Accident Analysis&Prevention》是世界交通安全领域著名学术期刊，在全球出版巨头爱斯唯尔（Elsevier）旗下，影响因子6.376。该期刊广泛涵盖了与意外伤害和损害有关的一般领域，包括受伤前和受伤后的直接阶段。发表的论文涉及交通事故的医学、法律、经济、教育、行为、理论或经验方面，以及其他地点的事故。该杂志范围内的选定主题可能包括：影响事故和伤害的发生、类型和严重程度的人类、环境和车辆因素的研究；对策的设计、实施和评估；冲击的生物力学和人类对伤害的容忍限度；事故数据的建模和统计分析；安全的政策、规划和决策。
上海交通大学船舶海洋与建筑工程学院