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Injury Outcomes and Costs for Cross-Median, Median Barrier, Median Entry, and Run-off-the-Road Crashes

机译:跨中位数,中位数障碍,中位数进入和道路冲撞事故的伤害结果和成本

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Lane departure crashes (LDC) have the capability of causing very serious injuries or even death.The costs associated with LDC can be difficult to compute, which might impede future benefitcost analysis or decision-making. The objective of this research was to quantify the injuryoutcomes and develop reliable and comprehensive injury costs for median-entry crashes (MEC)and run-off-the-road crashes (ROTR) and compare with costs of cross-median crashes (CMC)and median-barrier crashes (MBC). A three-step methodology was used to quantify the crashcosts for each crash severity and type. MEC and ROTR crashes in 2006 and 2007, in addition toCMC and MBC crashes between 2001 and 2007 in Wisconsin, were identified and used in thisanalysis. The Wisconsin Crash Outcome Data Evaluation System (CODES) database providedcomprehensive injury costs based on the injury types and severities suffered by participants instudy crashes. As expected, multi-vehicle CMC result in more total injuries and more severeinjuries than single-vehicle CMC, MEC, ROTR and MBC. Costs by crash severity varysignificantly between different crash types. On average, injury crashes could cost between$115,516 for MBC and $586,933 for multi-vehicle CMC. Results indicate that using one set ofcrash costs for all crash types may bias any evaluation. Using crash specific costs can lead to amore realistic benefit-cost analysis and enable better decision-making.
机译:车道偏离事故(LDC)能够造成非常严重的伤害甚至死亡。 与最不发达国家(LDC)相关的成本可能难以计算,这可能会阻碍未来的收益 成本分析或决策。这项研究的目的是量化伤害 结果,并为中位数进入事故(MEC)制定可靠而全面的伤害成本 和越野事故(ROTR),并与跨中事故(CMC)的成本进行比较 和中层屏障崩溃(MBC)。采用三步法对事故进行量化 每个崩溃严重性和类型的成本。除了2006年和2007年,MEC和ROTR崩溃 确定并使用了2001年至2007年间在威斯康星州发生的CMC和MBC崩溃 分析。提供了威斯康星州事故结果数据评估系统(CODES)数据库 根据参加者遭受的伤害类型和严重程度得出的综合伤害成本 学习崩溃。不出所料,多车CMC导致更多的人身伤害和更严重的伤害 伤害程度要高于单车CMC,MEC,ROTR和MBC。崩溃严重程度造成的成本各不相同 在不同的崩溃类型之间差异很大。平均而言,工伤事故可能造成 MBC为115,516美元,多车CMC为586,933美元。结果表明,使用一组 所有崩溃类型的崩溃成本可能会使任何评估产生偏差。使用崩溃特定的成本可能会导致 更现实的收益成本分析,并能做出更好的决策。

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