ABSTRACT

Until recently, bicycles have been neglected as an equitable mode of transport in urban traffic. Promoting bicycle traffic, however, is challenging since capturing the diverse behaviour of cyclists is quite difficult. Traditionally, information was point-based (traffic counting) or asked for cost-intensive and time-consuming surveys. GPS data and the popularity of digital applications are increasingly used to capture people’s movement data. Thus the question arises if such data could supplement or even replace conventional methods. About 42,354 trajectories from a Vienna dataset were analysed for how representative they are, which new information they offer and whether and to what extent the data may be used for future transportation planning. The results indicate a strong correlation between GPS-recorded and counted bicycle volumes (R² = up to 0.95). Due to the very restricted grade of representation of 0.032–0.25%, the GPS data can create additional value but cannot replace conventional methods.

摘要

直到最近，自行车作为城市交通中一种公平的交通工具一直被忽视。然而，促进自行车交通具有挑战性，因为捕捉骑车人的多样化行为非常困难。传统上，信息是基于点的（流量统计）或要求进行成本密集和耗时的调查。GPS数据和数字应用的普及越来越多地用于捕捉人们的运动数据。因此，如果这些数据可以补充甚至替代传统方法，问题就出现了。对来自维也纳数据集中的大约 42,354 条轨迹进行了分析，以了解它们的代表性、它们提供了哪些新信息以及这些数据是否以及在何种程度上可用于未来的交通规划。结果表明 GPS 记录和计数的自行车数量之间存在很强的相关性（R ²  = 高达 0.95)。由于 0.032-0.25% 的表现等级非常有限，GPS 数据可以创造附加价值，但不能替代传统方法。