This study uses cluster analysis on a sample of regular cyclists from six European countries (the U.K., the Netherlands, Sweden, Hungary, Italy, and Spain) to shed light on common cycling patterns, demographic characteristics, and attitudes. Participants completed an online survey on cycling behaviour, attitudes towards cycling, discomfort while cycling in mixed traffic, cycling environment and comparative cycling risk perception. A two-step cluster analysis was performed to identify segments of cyclists based on cycling patterns, and a multinomial logistic regression analysis was used to profile the segments. The two-step cluster analysis yielded three components. Leisure-time cyclists cycled almost exclusively for leisure/training, had a clear preference for car use relative to bicycle, and low riding frequency. Resolute Cyclists were characterised by a high variety of cycling trip purpose, a clear preference for bicycle use relative to the car, and high riding frequency. Convenience Cyclists were characterised by cycling for personal business or leisure/training but not for commuting, no evident preference for bicycle vs car, and medium riding frequency. The value of the present study is to highlight commonalities in patterns, characteristics, and attitudes of cyclists in Europe. Our study showed that cycling patterns and habits are linked to psychosocial variables such as attitudes and the cycling environment, explicitly highlighting the importance of discomfort in mixed traffic and the relationship with cycling culture.

这项研究对来自六个欧洲国家（英国，荷兰，瑞典，匈牙利，意大利和西班牙）的常规自行车手进行了聚类分析，以阐明常见的自行车模式，人口统计学特征和态度。参与者完成了有关骑自行车行为，骑自行车态度，混合交通中骑车时的不适，骑车环境和比较骑车风险感知的在线调查。进行了两步聚类分析，以根据骑车模式识别骑自行车者的路段，并使用多项逻辑回归分析来对路段进行剖析。两步聚类分析得出三个组成部分。闲暇时间骑自行车的人几乎只为休闲/训练而骑自行车，相对于自行车，汽车明显偏爱使用，骑行频率较低。坚决骑自行车的人的特点是骑自行车的目的多种多样，相对于汽车明显偏爱使用自行车，并且骑行频率高。方便骑自行车的人其特点是骑自行车用于个人业务或休闲/培训，但不用于通勤，自行车与汽车之间没有明显的偏爱，骑行频率中等。本研究的价值在于突出欧洲自行车手的模式，特征和态度的共性。我们的研究表明，骑自行车的方式和习惯与心理社会变量（例如态度和骑自行车的环境）相关，明确强调了混合交通中不适感的重要性以及与骑自行车文化的关系。