Exploring free riding behavior: An instrumented bicycle study on the impact of infrastructure and wind on bicycling

Danil Belikhov , Guillermo Pérez Castro , Mathis Titgemeyer , Fredrik Johansson , Heather Kaths , Johan Olstam
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Abstract

Understanding free riding behavior—where bicyclists are unconstrained by other road users or traffic control measures—is essential for planning efficient and appealing bicycle traffic systems. Bicyclist behavior is shaped by a combination of environmental conditions and individual preferences. This study examines free riding behavior, and identifies correlations with individual characteristics and contextual features such as infrastructure design (slopes and curves) and wind speed. We introduce a method using instrumented bicycles in a semi-controlled experiment to collect data describing the speed, power output, and heart rate of commuting bicyclists. Participants in two study populations (28 in Sweden and 29 in Germany) ride their bicycles equipped with sensors along designated routes during off-peak demand periods, enabling comparative analysis of different trip features. Results highlight significant inter- and intrapersonal variations in speed and power output along a trip. Approximately 80 percent of the variation in free riding speed and power output over a trip, and over both populations of bicyclists, is explained by gender, individual preferences, topography, curvature, crossing intersections, and wind speeds. Headwinds and uphills generally reduce speeds but bicyclists increase power output to partially offset these effects. Downhills lead to high speed variation and distinct tactical behaviors, such as braking, coasting, and accelerating. These findings underscore the complexity of bicycling behavior and quantify how bicyclists adapt to varying features of the trip.
探索自由骑行行为:一项关于基础设施和风对自行车影响的仪器自行车研究
了解免费骑行行为——骑自行车的人不受其他道路使用者或交通管制措施的约束——对于规划高效和有吸引力的自行车交通系统至关重要。骑自行车的人的行为是由环境条件和个人偏好共同决定的。这项研究考察了搭便车行为,并确定了个人特征和环境特征(如基础设施设计(斜坡和曲线)和风速)之间的相关性。在半控制实验中,我们介绍了一种使用仪表自行车来收集通勤骑自行车者的速度、功率输出和心率数据的方法。两个研究群体的参与者(瑞典28人,德国29人)在非高峰时段沿着指定路线骑装有传感器的自行车,以便对不同的出行特征进行比较分析。结果强调了在旅途中速度和功率输出的显著的人与人之间和人与人之间的差异。大约80%的免费骑行速度和功率输出的变化,在一次旅行中,在两个骑自行车的人群中,可以用性别、个人偏好、地形、曲率、十字路口和风速来解释。逆风和上坡通常会降低速度,但骑自行车的人会增加功率输出来部分抵消这些影响。下坡导致高速变化和独特的战术行为,如制动,滑行和加速。这些发现强调了骑自行车行为的复杂性,并量化了骑自行车者如何适应旅行的不同特征。
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