• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Ranking and selecting dangerous crash locations: correcting for the number of passengers and Bayesian ranking plots.

作者信息

Geurts Karolien, Wets Geert, Brijs Tom, Vanhoof Koen, Karlis Dimitris

机构信息

Hasselt University, Transportation Research Institute, Agoralaan, Building D, 3590 Diepenbeek, Belgium.

出版信息

J Safety Res. 2006;37(1):83-91. doi: 10.1016/j.jsr.2005.10.020. Epub 2006 Mar 2.

DOI:10.1016/j.jsr.2005.10.020
PMID:16513136
Abstract

INTRODUCTION

In this paper a sensitivity analysis is performed to investigate how big the impact would be on the current ranking of crash locations in Flanders (Belgium) when only taking into account the most serious injury per crash instead of all the injured occupants.

RESULTS

Results show that this would lead to a different selection of 23.8% of the 800 sites that are currently considered as dangerous.

CONCLUSIONS

Considering this impact quantity, the researchers want to sensitize government that giving weight to the severity of the crash can correct for the bias that occurs when the number of occupants of the vehicles are subject to coincidence. Additionally, probability plots are generated to provide policy makers with a scientific instrument with intuitive appeal to select dangerous road locations on a statistically sound basis. Impact on industry Considering the impact quantity of giving weight to the severity of the crash instead of to all the injured occupants of the vehicle on the ranking of crash sites, the authors want to sensitize government to carefully choose the criteria for ranking and selecting crash locations in order to achieve an enduring and successful traffic safety policy. Indeed, giving weight to the severity of the crash can correct for the bias that occurs when the number of occupants of the vehicles are subject to coincidence. However, it is up to the government to decide which priorities should be stressed in the traffic safety policy. Then, the appropriate weighting value combination can be chosen to rank and select the most dangerous crash locations. Additionally, the probability plots proposed in this paper can provide policy makers with a scientific instrument with intuitive appeal to select dangerous road locations on a statistically sound basis. Note that, in practice, one should not only rank the crash locations based on the benefits that can be achieved from tackling these locations. Future research is also needed to incorporate the costs of infrastructure measures and other actions that these crash sites require in order to enhance the safety on these locations. By balancing these costs and benefits against each other, the crash locations can then be ranked according to the order in which they should be prioritized.

摘要

相似文献

1
Ranking and selecting dangerous crash locations: correcting for the number of passengers and Bayesian ranking plots.
J Safety Res. 2006;37(1):83-91. doi: 10.1016/j.jsr.2005.10.020. Epub 2006 Mar 2.
2
Bayesian ranking of sites for engineering safety improvements: decision parameter, treatability concept, statistical criterion, and spatial dependence.用于工程安全改进的场地贝叶斯排序:决策参数、可处理性概念、统计标准和空间依赖性。
Accid Anal Prev. 2005 Jul;37(4):699-720. doi: 10.1016/j.aap.2005.03.012. Epub 2005 Apr 12.
3
A comparative analysis of hotspot identification methods.热点识别方法的比较分析。
Accid Anal Prev. 2010 Mar;42(2):571-81. doi: 10.1016/j.aap.2009.09.025. Epub 2009 Oct 30.
4
Investigating the effects of the fixed and varying dispersion parameters of Poisson-gamma models on empirical Bayes estimates.研究泊松-伽马模型的固定和变化离散参数对经验贝叶斯估计的影响。
Accid Anal Prev. 2008 Jul;40(4):1441-57. doi: 10.1016/j.aap.2008.03.014. Epub 2008 Apr 18.
5
Road safety effects of roundabouts in Flanders.比利时弗拉芒地区环形交叉路口对道路安全的影响。
J Safety Res. 2005;36(3):289-96. doi: 10.1016/j.jsr.2005.05.001.
6
Are SUVs dangerous vehicles?运动型多用途汽车是危险车辆吗?
Accid Anal Prev. 2008 May;40(3):954-63. doi: 10.1016/j.aap.2007.11.001. Epub 2007 Dec 3.
7
A joint-probability approach to crash prediction models.联合概率方法在碰撞预测模型中的应用。
Accid Anal Prev. 2011 May;43(3):1160-6. doi: 10.1016/j.aap.2010.12.026. Epub 2011 Jan 11.
8
The influence of damage distribution on serious brain injury in occupants in frontal motor vehicle crashes.损伤分布对正面机动车碰撞中驾乘人员严重脑损伤的影响。
Accid Anal Prev. 2008 Jul;40(4):1569-75. doi: 10.1016/j.aap.2008.04.004. Epub 2008 May 8.
9
Validating crash locations for quantitative spatial analysis: a GIS-based approach.验证用于定量空间分析的碰撞位置:一种基于地理信息系统的方法。
Accid Anal Prev. 2006 Sep;38(5):879-86. doi: 10.1016/j.aap.2006.02.012. Epub 2006 Mar 30.
10
Comparison of empirical Bayes and full Bayes approaches for before-after road safety evaluations.前后向道路安全评估中经验贝叶斯和全贝叶斯方法的比较。
Accid Anal Prev. 2010 Jan;42(1):38-43. doi: 10.1016/j.aap.2009.06.028. Epub 2009 Jul 18.

引用本文的文献

1
Analysis of historical road accident data supporting autonomous vehicle control strategies.支持自动驾驶车辆控制策略的历史道路事故数据分析
PeerJ Comput Sci. 2021 Feb 23;7:e399. doi: 10.7717/peerj-cs.399. eCollection 2021.