• 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

预测自行车接近碰撞的频率和主观体验的因素:英国接近碰撞项目头两年的研究结果。

Predictors of the frequency and subjective experience of cycling near misses: Findings from the first two years of the UK Near Miss Project.

机构信息

University of Westminster, United Kingdom.

London School of Hygiene and Tropical Medicine, United Kingdom.

出版信息

Accid Anal Prev. 2018 Jan;110:161-170. doi: 10.1016/j.aap.2017.09.015. Epub 2017 Sep 30.

DOI:10.1016/j.aap.2017.09.015
PMID:28969858
Abstract

Using 2014 and 2015 data from the UK Near Miss Project, this paper examines the stability of self-report incident rates for cycling near misses across these two years. It further examines the stability of the individual-level predictors of experiencing a near miss, including what influences the scariness of an incident. The paper uses three questions asked for only in 2015, which allow further exploration of factors shaping near miss rates and impacts of incidents. Firstly, a respondent's level of cycling experience; secondly, whether an incident was perceived as deliberate; and finally, whether the respondent themselves described the incident as a 'near miss' (as opposed to only a frightening and/or annoying non-injury incident). Using this data, we find a decline of almost a third in incident rates in 2015 compared to 2014, which we believe is likely to be largely an artefact due to differences in reporting rates. This suggests caution about interpreting small fluctuations in subjectively reported near miss rates. However, in both years near miss rates are many times more frequent than injury collisions. In both years of data collection our findings are very similar in terms of the patterning of incident types, and how frightening different incident categories are, which increases confidence in these findings. We find that new cyclists experience very high incident rates compared to other cyclists, and test a conceptual model explaining how perceived deliberateness, near-miss status, and scariness are connected. For example, incidents that are perceived to be deliberate are more likely to be experienced as very frightening, independent of their 'near miss' status.

摘要

利用英国险肇项目 2014 年和 2015 年的数据,本文考察了这两年自行车险肇事件的自我报告发生率的稳定性。它进一步考察了经历险肇事件的个体水平预测因子的稳定性,包括影响事件可怕程度的因素。本文使用了仅在 2015 年提出的三个问题,这允许进一步探索影响险肇率的因素和事件影响。首先,受访者的骑行经验水平;其次,事件是否被认为是蓄意的;最后,受访者自己是否将事件描述为“险肇”(而不仅仅是令人恐惧和/或烦恼的非伤害事件)。利用这些数据,我们发现 2015 年的事件发生率比 2014 年下降了近三分之一,我们认为这很可能主要是由于报告率的差异造成的人为因素。这表明在解释主观报告的险肇率的微小波动时要谨慎。然而,在这两年的数据收集过程中,我们的发现就事件类型的模式以及不同事件类别的可怕程度非常相似,这增加了对这些发现的信心。我们发现,新的自行车骑手的事故发生率比其他自行车骑手高得多,并且测试了一个解释感知的故意性、险肇状态和可怕程度之间关系的概念模型。例如,被认为是蓄意的事件更有可能被体验为非常可怕的事件,而与它们的“险肇”状态无关。

相似文献

1
Predictors of the frequency and subjective experience of cycling near misses: Findings from the first two years of the UK Near Miss Project.预测自行车接近碰撞的频率和主观体验的因素:英国接近碰撞项目头两年的研究结果。
Accid Anal Prev. 2018 Jan;110:161-170. doi: 10.1016/j.aap.2017.09.015. Epub 2017 Sep 30.
2
Near miss experiences of transport and recreational cyclists in New South Wales, Australia. Findings from a prospective cohort study.澳大利亚新南威尔士州交通和休闲骑行者的未遂事故经历。一项前瞻性队列研究的结果。
Accid Anal Prev. 2017 Apr;101:143-153. doi: 10.1016/j.aap.2017.01.020. Epub 2017 Feb 23.
3
Perceived traffic risk for cyclists: the impact of near miss and collision experiences.骑行者感知到的交通风险:险些相撞和碰撞经历的影响。
Accid Anal Prev. 2015 Feb;75:26-34. doi: 10.1016/j.aap.2014.11.004. Epub 2014 Nov 16.
4
Can Patient Safety Incident Reports Be Used to Compare Hospital Safety? Results from a Quantitative Analysis of the English National Reporting and Learning System Data.患者安全事件报告能否用于比较医院安全性?对英国国家报告与学习系统数据的定量分析结果
PLoS One. 2015 Dec 9;10(12):e0144107. doi: 10.1371/journal.pone.0144107. eCollection 2015.
5
Exposure-based cycling crash, near miss and injury rates: the Safer Cycling Prospective Cohort Study protocol.基于暴露的自行车碰撞、险兆事件和伤害率:更安全的自行车前瞻性队列研究方案。
Inj Prev. 2012 Feb;18(1):e1. doi: 10.1136/injuryprev-2011-040160. Epub 2011 Sep 20.
6
The impact of implementing a public bicycle share program on the likelihood of collisions and near misses in Montreal, Canada.实施公共自行车共享计划对加拿大蒙特利尔碰撞和险兆事件可能性的影响。
Prev Med. 2013 Dec;57(6):920-4. doi: 10.1016/j.ypmed.2013.05.028. Epub 2013 Jun 6.
7
Crash risk and subjective risk perception during urban cycling: Accounting for cycling volume.城市骑行中的碰撞风险和主观风险感知:考虑骑行量。
Accid Anal Prev. 2022 Jan;164:106470. doi: 10.1016/j.aap.2021.106470. Epub 2021 Nov 10.
8
Barriers to the reporting of medication administration errors and near misses: an interview study of nurses at a psychiatric hospital.用药错误及险些发生的失误上报的障碍:对一家精神病医院护士的访谈研究
J Psychiatr Ment Health Nurs. 2014;21(9):797-805. doi: 10.1111/jpm.12143. Epub 2014 Mar 20.
9
Analysis of car-to-bicycle approach patterns for developing active safety devices.用于开发主动安全装置的汽车与自行车接近模式分析。
Traffic Inj Prev. 2016 May 18;17(4):434-9. doi: 10.1080/15389588.2015.1087641. Epub 2015 Sep 16.
10
Multiuse trail intersection safety analysis: A crowdsourced data perspective.多用途步道交叉路口安全分析:众包数据视角
Accid Anal Prev. 2017 Jun;103:65-71. doi: 10.1016/j.aap.2017.03.024. Epub 2017 Apr 4.

引用本文的文献

1
Computer vision and statistical insights into cycling near miss dynamics.计算机视觉与自行车近距离碰撞动态的统计洞察。
Sci Rep. 2024 Sep 10;14(1):21151. doi: 10.1038/s41598-024-70733-8.
2
Health, environmental and distributional impacts of cycling uptake: The model underlying the Propensity to Cycle tool for England and Wales.骑行普及对健康、环境及分布的影响:英格兰和威尔士骑行倾向工具的基础模型。
J Transp Health. 2021 Sep;22:101066. doi: 10.1016/j.jth.2021.101066.
3
Public Roads as Places of Interspecies Conflict: A Study of Horse-Human Interactions on UK Roads and Impacts on Equine Exercise.
作为物种间冲突场所的公共道路:对英国道路上人与马的互动及其对马匹运动影响的研究
Animals (Basel). 2021 Apr 9;11(4):1072. doi: 10.3390/ani11041072.