Traffic & Road Safety Research Group, School of Psychology, University of Waikato, Private Bag 3105, Hamilton, New Zealand.
Accid Anal Prev. 2010 Nov;42(6):1989-98. doi: 10.1016/j.aap.2010.06.006. Epub 2010 Jul 3.
This paper describes a project undertaken to establish a self-explaining roads (SER) design programme on existing streets in an urban area. The methodology focussed on developing a process to identify functional road categories and designs based on endemic road characteristics taken from functional exemplars in the study area. The study area was divided into two sections, one to receive SER treatments designed to maximise visual differences between road categories, and a matched control area to remain untreated for purposes of comparison. The SER design for local roads included increased landscaping and community islands to limit forward visibility, and removal of road markings to create a visually distinct road environment. In comparison, roads categorised as collectors received increased delineation, addition of cycle lanes, and improved amenity for pedestrians. Speed data collected 3 months after implementation showed a significant reduction in vehicle speeds on local roads and increased homogeneity of speeds on both local and collector roads. The objective speed data, combined with residents' speed choice ratings, indicated that the project was successful in creating two discriminably different road categories.
本文描述了一个在城市现有街道上建立自解释道路 (SER) 设计方案的项目。该方法侧重于开发一种基于研究区域内功能范例的道路特征，识别功能道路类别的过程和设计。研究区域分为两部分，一部分接受旨在最大化道路类别之间视觉差异的 SER 处理，而匹配的对照区域则保持未处理状态，以便进行比较。当地道路的 SER 设计包括增加景观美化和社区岛，以限制向前的可视性，并去除道路标记，以创建视觉上明显的道路环境。相比之下，被归类为收集器的道路则增加了划分、自行车道的增加，以及为行人和行人提供更好的设施。实施后 3 个月收集的速度数据显示，当地道路上的车辆速度显著降低，本地和收集器道路上的速度均匀性增加。客观速度数据，结合居民的速度选择评级，表明该项目成功地创建了两个可明显区分的道路类别。
