Tarko Andrew P
School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47906, USA.
Accid Anal Prev. 2009 May;41(3):608-16. doi: 10.1016/j.aap.2009.02.008. Epub 2009 Mar 9.
This paper proposes a new model of driver-preferred speeds derived from the assumption that drivers trade-off a portion of their safety for a time gain. The risk of receiving a ticket for speeding is also considered. A trip disutility concept is selected to combine the three components of speed choice (safety, time, and enforcement). The perceived crash risk and speed enforcement are considered as speed deterrents while the perceived value of a time gain is considered as a speed enticement. According to this concept, speeds that minimize the perceived trip disutility are preferred by drivers. The modeled trade-off behavior does not have to be fully rational since it is affected by drivers' preferences and their ability to perceive the risk. As such, the proposed framework follows the concept of bound rationality. The attractiveness of the model lies in its parameters being estimable with the observed preferred speeds and then interpretable as the factors of risk perception, the subjective value of time, and the perceived risk of speed enforcement. The proposed method may successfully supplement behavioral studies based on a driver survey. The study focuses on four-lane rural and suburban roads in Indiana, USA. The behavior of two types of drivers (trucks and cars) is modeled. The selection of test sites was such that the roads and other local characteristics varied across the studied sites while the population of drivers could be assumed as the same. The density of intersections, land development along the road, and the presence of sidewalks were the identified prominent risk perception factors. Another interesting finding is that the speed limit seems to encourage slow drivers to drive faster and fast drivers to drive slower.
本文提出了一种新的驾驶员偏好速度模型,该模型基于驾驶员用一部分安全换取时间收益这一假设。同时也考虑了超速罚单的风险。选择出行负效用概念来综合速度选择的三个要素(安全、时间和执法)。感知到的碰撞风险和速度执法被视为速度抑制因素,而感知到的时间收益价值则被视为速度诱因。根据这一概念,使感知到的出行负效用最小化的速度是驾驶员所偏好的。所建立的权衡行为模型不一定完全理性,因为它受到驾驶员偏好及其感知风险能力的影响。因此,所提出的框架遵循有限理性的概念。该模型的吸引力在于其参数可以通过观测到的偏好速度进行估计,进而可解释为风险感知因素、时间的主观价值以及感知到的速度执法风险。所提出的方法可能会成功补充基于驾驶员调查的行为研究。该研究聚焦于美国印第安纳州的四车道乡村和郊区道路。对两种类型驾驶员(卡车和汽车)的行为进行了建模。测试地点的选择使得各研究地点的道路和其他当地特征有所不同,而驾驶员群体可假定为相同。交叉路口的密度、道路沿线的土地开发情况以及人行道的存在是已确定的突出风险感知因素。另一个有趣的发现是,速度限制似乎会促使慢速驾驶员开得更快,而快速驾驶员开得更慢。