Department of Architecture and Planning, Faculty of Architecture and Design, NTNU-Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Int J Environ Res Public Health. 2018 Mar 7;15(3):470. doi: 10.3390/ijerph15030470.
One fundamental aspect of promoting utilitarian bicycle use involves making modifications to the built environment to improve the safety, efficiency and enjoyability of cycling. Revealed preference data on bicycle route choice can assist greatly in understanding the actual behaviour of a highly heterogeneous group of users, which in turn assists the prioritisation of infrastructure or other built environment initiatives. This systematic review seeks to compare the relative strengths and weaknesses of the empirical approaches for evaluating whole journey route choices of bicyclists. Two electronic databases were systematically searched for a selection of keywords pertaining to bicycle and route choice. In total seven families of methods are identified: GPS devices, smartphone applications, crowdsourcing, participant-recalled routes, accompanied journeys, egocentric cameras and virtual reality. The study illustrates a trade-off in the quality of data obtainable and the average number of participants. Future additional methods could include dockless bikeshare, multiple camera solutions using computer vision and immersive bicycle simulator environments.
促进功利性自行车使用的一个基本方面涉及对建筑环境进行改造,以提高自行车的安全性、效率和趣味性。关于自行车路线选择的揭示性偏好数据可以极大地帮助理解高度异质用户群体的实际行为,这反过来又有助于确定基础设施或其他建筑环境举措的优先级。本系统评价旨在比较评估自行车手整个行程路线选择的实证方法的相对优势和劣势。两个电子数据库被系统地搜索了与自行车和路线选择相关的一系列关键词。总共确定了七种方法:GPS 设备、智能手机应用程序、众包、参与者回忆的路线、陪同旅行、自我中心相机和虚拟现实。该研究说明了可获得数据的质量和参与者平均数量之间的权衡。未来可能会增加一些方法,包括无桩共享单车、使用计算机视觉的多相机解决方案以及沉浸式自行车模拟器环境。