Suppr超能文献

道路交通事故死亡率相关影响因素间隐藏关系的分析与识别:以伊朗法尔斯省为例

Analysis and identification of the hidden relationships between effective factors in the mortality rate caused by road accidents: A case study of Fars Province, Iran.

作者信息

Lotfi Saeed, Honarvar Ali Reza, Gholamzadeh Saeid

机构信息

Department of Information Technology and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran.

Department of Information Technology and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran.

出版信息

Chin J Traumatol. 2019 Aug;22(4):233-239. doi: 10.1016/j.cjtee.2018.11.004. Epub 2019 May 22.

Abstract

PURPOSE

An analysis and identification of the hidden relationships between effective factors in the mortality rate caused by road accidents in Fars Province of Iran to prevent and reduce traffic accidents in the future.

METHODS

This cross-sectional study was conducted to integrate all the pervious researches performed on mortality rate of road traffic accidents in Fars Province from March 21, 2013 to March 20, 2017. In order to reveal the relationships between the factors affecting mortality rates of road traffic accidents, the data regarding road traffic accidents extracted from resources such as Legal Medicine Organization, Traffic Police, Accident & Emergency Department, as well as Department of Roads and Urban Development of Fars Province, then cleaned and the applicable attributes embedded in the data all aggregated for further analysis. It should be noted that the data not related to Fars Province were deleted, the data analyzed, converted and the aggregation between various attributes identified. The aggregation between these different attributes as well as the FP-growth algorithm and two indexes of support and confidence calculated and interesting and effective rules extracted. In the end, several accident-provoking factors, the degree of consecutive and interdependence of each one in road accidents identified and introduced. The statistical analysis was conducted by using Rapid Miner software.

RESULTS

Of the 6216 people dead due to road traffic accidents, 4865 (79.02%) were male and 1292 (20.98%) were female, 59 of them have no clear gender. The largest portion of people died of road traffic accidents belonged to married and self-employed men who collided with motorcycles in autumn. Moreover, young individuals (aged 19-40 years) with secondary educational level who died of accidents in summer at 12:00 a.m. and then 5:00 p.m. in outer city main roads of Kazerun-Shiraz, then Darab-Shiraz, Fasa-Darab and in within-city main streets had the highest mortality rates. Among women, the middle-aged group (aged 41-65 years) followed by young-aged group (aged 19-40 years) with elementary educational level and then illiterate accounted for the highest mortality rate of road traffic accidents. The automobiles involved in accidents included Pride, Peugeot 405, Peykan pickup, Samand, Peugeot Pars, other vehicles and motorcycles.

CONCLUSION

The high mortality rate of illiterate and low-literate in various age groups indicates that educational level plays a crucial role as a factor in road accidents, requiring related organizations such as Traffic Police and Ministry of Education to take necessary measures and policies.

摘要

目的

分析并识别伊朗法尔斯省道路交通事故死亡率影响因素之间的潜在关系,以预防和减少未来的交通事故。

方法

本横断面研究整合了2013年3月21日至2017年3月20日期间对法尔斯省道路交通事故死亡率进行的所有先前研究。为揭示影响道路交通事故死亡率的因素之间的关系,从法医组织、交通警察、事故与急诊科以及法尔斯省道路与城市发展部等资源中提取道路交通事故数据,然后进行清理,并将数据中适用的属性进行汇总以作进一步分析。需要注意的是,删除了与法尔斯省无关的数据,对数据进行分析、转换并确定不同属性之间的汇总情况。计算这些不同属性之间的汇总情况以及FP增长算法和支持度与置信度两个指标,并提取有趣且有效的规则。最后,确定并介绍了几个引发事故的因素以及每个因素在道路事故中的连续程度和相互依存度。使用Rapid Miner软件进行统计分析。

结果

在6216名因道路交通事故死亡的人中,4865人(79.02%)为男性,1292人(20.98%)为女性,59人性别不明。死于道路交通事故的人群中,占比最大的是已婚且自营职业的男性,他们在秋季与摩托车相撞。此外,在卡泽伦 - 设拉子、达拉布 - 设拉子、法萨 - 达拉布城外主要道路以及市内主要街道上,夏季上午12点和下午5点发生事故死亡的19 - 40岁具有中等教育水平的年轻人死亡率最高。在女性中,41 - 65岁中年组之后是19 - 40岁具有小学教育水平的年轻组,然后是文盲组,占道路交通事故死亡率最高。涉及事故的汽车包括普锐斯、标致405、佩伊坎皮卡、萨曼德、标致帕尔斯、其他车辆和摩托车。

结论

各年龄组中文盲和低文化水平人群的高死亡率表明,教育水平作为道路事故的一个因素起着至关重要的作用,要求交通警察和教育部等相关组织采取必要的措施和政策。

相似文献

本文引用的文献

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