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Effects of traffic enforcement cameras on macro-level traffic safety: A spatial modeling analysis considering interactions with roadway and Land use characteristics

机译:交通执法摄像机对宏观级交通安全的影响:考虑巷道交互的空间建模分析

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摘要

Nowadays, intelligent transportation system (ITS) planning has been often integrated into transportation planning stage. As a component of ITS, traffic enforcement cameras have been found to reduce dangerous behaviors, such as red-light running and speeding. However, with limited resource, it is important to understand the effects of enforcement cameras on macro-level safety, so that traffic policy-makers can better allocate those resources to improve traffic safety from the planning stage. In this paper, we examined the effects of various traffic enforcement cameras on regional traffic crash risk, considering their interactions with roadway and land use characteristics. The Kunshan city in Suzhou, China was selected in this study and a spatial modeling analysis was applied. According to the modeling results, several conclusions can be drawn: 1. Interaction effects on regional injury/PDO crash risk were found between traffic enforcement cameras and roadway/land use factors; 2. Traffic enforcement cameras were found to be associated with decreased regional crash risk. Among them, red-light running and speeding cameras were associated with the reduction of injury/PDO crash frequency, which can be further enhanced when being installed in certain area (e.g. industrial, commercial, residential land use) and on certain roadways (e.g. major arterials, local roads). Illegal lane changing cameras were associated with the decrease in PDO crash frequency, while such effect on reducing injury crashes was only found as significant on major arterials; 3. The main effects of certain land use and roadway factors appeared to be mediated by traffic enforcement interaction terms. For example, the main effect of industrialized land use was found as insignificant, while the interaction term between industrial area and speeding cameras showed a significant effect of reducing injury/PDO crash frequency. Based on those findings, traffic enforcement cameras, as one of the major components of ITS, need to be carefully considered at the transportation planning stage. In general, this study provides valuable information for policy-makers and transportation planners to improve regional traffic safety, by properly allocating traffic enforcement resources.
机译:如今,智能交通系统(其)规划经常融入运输规划阶段。作为其组成部分,已被发现减少了交通执法相机,以减少危险行为,例如红灯运行和超速。然而,利用有限的资源,了解强制相机对宏观级安全的影响非常重要,使交通政策制定者可以更好地分配这些资源以改善规划阶段的交通安全。在本文中,考虑到他们与道路和土地利用特征的相互作用,我们研究了各种交通执法相机对区域交通崩溃风险的影响。中国苏州昆山市被选中在本研究中,并应用了空间建模分析。根据建模结果,可以绘制若干结论:1。交通执法摄像机和道路/土地利用因素之间发现了对区域损伤/ PDO碰撞风险的互动影响; 2.发现交通执法摄像机与区域碰撞风险降低有关。其中,红光运行和超速摄像机与伤害/ PDO碰撞频率的降低有关,可以在安装在某些区域(例如工业,商业,住宅用地)和某些道路上进行进一步提高(例如主要的动脉,当地道路)。非法车道改变摄像机与PDO碰撞频率的降低有关,而这种对减少损伤崩溃的影响仅在主要动脉上发现了重要; 3.某些土地使用和道路因素的主要影响似乎是通过交通执法互动条款的调解。例如,发现工业化土地使用的主要效果是微不足道的,而工业面积和超速摄像机之间的相互作用项表现出降低损伤/ PDO碰撞频率的显着效果。根据这些调查结果,作为其主要组成部分的交通执法相机需要在运输计划阶段仔细考虑。一般而言,本研究为决策者和交通规划者提供了有价值的信息,通过适当地分配交通执法资源来改善区域交通安全。

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