Growing interest in zero emission transport modes, such as cycling, is currently generating motivation to construct new cycle paths. However, transportation planners and managers cannot always rely on practical methods for allocating the resources (often limited) needed for inventories and assessing cycling infrastructures. The aim of this study is to develop a method for classifying cycle paths in terms of roughness and general conditions of the pavement surface. Inventory data and information regarding the infrastructure conditions were collected on-site using video recordings taken by an action camera directly mounted on a bicycle. Georeferenced vertical acceleration data were collected using a smartphone. Acceleration data of three different pavement surfaces (asphalt, concrete and concrete bricks) were registered. The results showed the lowest acceleration values for concrete pavement and the highest values for interlocking concrete pavement. The proposed method can be a practical and efficient approach to evaluate cycling infrastructures in terms of pavement condition.

目前，人们对零排放运输模式（例如自行车）的兴趣日益浓厚，这正激发人们构建新的自行车道的动力。但是，运输计划者和管理者不能总是依靠实用的方法来分配库存所需的资源（通常是有限的）和评估自行车基础设施。这项研究的目的是开发一种根据路面的粗糙度和一般状况对循环路径进行分类的方法。有关基础设施条件的库存数据和信息是使用直接安装在自行车上的运动摄像机拍摄的视频记录现场收集的。地理参考的垂直加速度数据是使用智能手机收集的。记录了三种不同路面（沥青，混凝土和混凝土砖）的加速度数据。结果表明，混凝土路面的加速度最低，而联锁混凝土路面的加速度最高。所提出的方法可以是一种实用且有效的方法，用于根据路面状况评估自行车基础设施。