• 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

基于2004年至2016年中国交通相关数据对若干经济因素影响下的事故伤亡情况进行分析。

Analysis on the accident casualties influenced by several economic factors based on the traffic-related data in China from 2004 to 2016.

作者信息

Sun Li-Lu, Liu Dan, Chen Tian, He Meng-Ting

机构信息

School of Economy and Finance, Chongqing University of Technology, Chongqing 400054, China.

School of Economy and Finance, Chongqing University of Technology, Chongqing 400054, China.

出版信息

Chin J Traumatol. 2019 Apr;22(2):75-79. doi: 10.1016/j.cjtee.2019.02.002. Epub 2019 Mar 15.

DOI:10.1016/j.cjtee.2019.02.002
PMID:30962129
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6488516/
Abstract

PURPOSE

By studying the economic data related to road traffic accidents in recent 10 years, this paper explores the impact of various economic factors on the number of casualties in traffic accidents in China, and puts forward related prevention and management measures.

METHODS

Based on five economic factors including the number of new health institutions, health investment, transportation investment and disposable income per capita, this paper collects the data of traffic accidents in 31 provinces and municipalities of China from 2004 to 2016 and estimates the parameters using fixed effect model.

RESULTS

The number of health institutions, health investment, transportation investment and disposable income per capita are negatively correlated with the number of traffic accident casualties; the number of new health institutions is positively correlated with the number of traffic accident casualties; health investment and transportation investment have a great impact on the number of road traffic accident casualties.

CONCLUSION

Economic development has a positive impact on improving traffic conditions, but the increase in the number of new health institutions does not reduce the number of casualties in accidents. The irrational layout of health institutions and imperfect road traffic management mechanism should be taken into account.

摘要

目的

通过研究近10年道路交通事故相关经济数据,探讨我国各类经济因素对交通事故伤亡人数的影响,并提出相关预防及管理措施。

方法

基于新医疗卫生机构数量、卫生投入、交通投入及人均可支配收入这五个经济因素,收集2004年至2016年中国31个省、直辖市的交通事故数据,并采用固定效应模型估计参数。

结果

医疗卫生机构数量、卫生投入、交通投入及人均可支配收入与交通事故伤亡人数呈负相关;新医疗卫生机构数量与交通事故伤亡人数呈正相关;卫生投入和交通投入对道路交通事故伤亡人数影响较大。

结论

经济发展对改善交通状况有积极影响,但新医疗卫生机构数量的增加并未降低事故伤亡人数。应考虑医疗卫生机构布局不合理及道路交通管理机制不完善的问题。

相似文献

1
Analysis on the accident casualties influenced by several economic factors based on the traffic-related data in China from 2004 to 2016.基于2004年至2016年中国交通相关数据对若干经济因素影响下的事故伤亡情况进行分析。
Chin J Traumatol. 2019 Apr;22(2):75-79. doi: 10.1016/j.cjtee.2019.02.002. Epub 2019 Mar 15.
2
Road traffic safety: An analysis of the cross-effects of economic, road and population factors.道路交通安全:经济、道路和人口因素的交叉影响分析
Chin J Traumatol. 2019 Oct;22(5):290-295. doi: 10.1016/j.cjtee.2019.07.004. Epub 2019 Aug 23.
3
Risk factors associated with traffic violations and accident severity in China.与中国交通违法行为及事故严重程度相关的风险因素。
Accid Anal Prev. 2013 Oct;59:18-25. doi: 10.1016/j.aap.2013.05.004. Epub 2013 May 15.
4
National road casualties and economic development.全国道路伤亡与经济发展。
Health Econ. 2006 Jan;15(1):65-81. doi: 10.1002/hec.1020.
5
Analysis on alteration of road traffic casualties in western China from multi-department data in recent decade.近十年中国西部地区多部门道路交通伤害变化分析
Front Public Health. 2022 Nov 10;10:972948. doi: 10.3389/fpubh.2022.972948. eCollection 2022.
6
Road crash in China from 2003 to 2005.2003年至2005年中国的道路交通事故
Chin J Traumatol. 2008 Feb;11(1):3-7. doi: 10.1016/s1008-1275(08)60001-2.
7
Economic development and road traffic injuries and fatalities in Thailand: an application of spatial panel data analysis, 2012-2016.泰国的经济发展与道路交通伤害及死亡情况:2012 - 2016年空间面板数据分析的应用
BMC Public Health. 2019 Nov 4;19(1):1449. doi: 10.1186/s12889-019-7809-7.
8
The contribution of the Israeli trauma system to the survival of road traffic casualties.以色列创伤系统对道路交通伤亡者存活情况的贡献。
Traffic Inj Prev. 2015;16(4):368-73. doi: 10.1080/15389588.2014.940458. Epub 2014 Dec 23.
9
Road traffic accident severity analysis: A census-based study in China.道路交通事故严重程度分析:基于普查的中国研究。
J Safety Res. 2019 Sep;70:135-147. doi: 10.1016/j.jsr.2019.06.002. Epub 2019 Jul 4.
10
Analyzing fault and severity in pedestrian-motor vehicle accidents in China.分析中国行人-机动车事故中的故障和严重程度。
Accid Anal Prev. 2014 Dec;73:141-50. doi: 10.1016/j.aap.2014.08.018. Epub 2014 Sep 18.

引用本文的文献

1
The effects of weather factors on road traffic casualties: Analysis on provincial panel data of China from 2006 to 2021.天气因素对道路交通伤亡的影响:基于2006年至2021年中国省级面板数据的分析
Heliyon. 2024 Aug 23;10(17):e36788. doi: 10.1016/j.heliyon.2024.e36788. eCollection 2024 Sep 15.
2
Association between ambient temperatures and injuries: a time series analysis using emergency ambulance dispatches in Chongqing, China.环境温度与伤害的关联:基于中国重庆急救车派遣的时间序列分析
Environ Health Prev Med. 2023;28:28. doi: 10.1265/ehpm.22-00224.
3
The impacts of air quality and secondary organic aerosols formation on traffic accidents in heavy fog-haze weather.空气质量和二次有机气溶胶形成对重雾霾天气下交通事故的影响。
Heliyon. 2023 Mar 24;9(4):e14631. doi: 10.1016/j.heliyon.2023.e14631. eCollection 2023 Apr.
4
China trauma treatment statistics 2019: A national retrospective study based on hospitalized cases.中国创伤治疗统计 2019:基于住院病例的全国回顾性研究。
Front Public Health. 2023 Feb 24;11:1116828. doi: 10.3389/fpubh.2023.1116828. eCollection 2023.
5
Analysis on alteration of road traffic casualties in western China from multi-department data in recent decade.近十年中国西部地区多部门道路交通伤害变化分析
Front Public Health. 2022 Nov 10;10:972948. doi: 10.3389/fpubh.2022.972948. eCollection 2022.
6
Analysis of road traffic injuries and casualties in China: a ten-year nationwide longitudinal study.中国道路交通事故伤害与伤亡分析:一项全国范围的十年纵向研究。
PeerJ. 2022 Sep 15;10:e14046. doi: 10.7717/peerj.14046. eCollection 2022.
7
Adolescent Riding Behavior During the COVID-19 Pandemic in Urban Area, Indonesia: A Cross-sectional Study.印度尼西亚城市地区 COVID-19 大流行期间青少年的骑行行为:一项横断面研究。
Ethiop J Health Sci. 2021 Nov;31(6):1133-1142. doi: 10.4314/ejhs.v31i6.8.
8
Analysis of the Correlation between Occupational Accidents and Economic Factors in China.中国职业事故与经济因素的相关性分析。
Int J Environ Res Public Health. 2021 Oct 14;18(20):10781. doi: 10.3390/ijerph182010781.
9
Epidemiological and clinical characteristics of road traffic crashes related thoracic traumas: analysis of 5095 hospitalized chest injury patients.道路交通事故相关胸部创伤的流行病学和临床特征:5095 例住院胸部损伤患者的分析。
J Cardiothorac Surg. 2021 Aug 4;16(1):220. doi: 10.1186/s13019-021-01599-4.
10
Road traffic safety: An analysis of the cross-effects of economic, road and population factors.道路交通安全:经济、道路和人口因素的交叉影响分析
Chin J Traumatol. 2019 Oct;22(5):290-295. doi: 10.1016/j.cjtee.2019.07.004. Epub 2019 Aug 23.

本文引用的文献

1
Qualifying information on deaths and serious injuries caused by road traffic in five Brazilian capitals using record linkage.利用记录链接获取巴西五个首府城市道路交通导致的死亡和重伤的限定信息。
Accid Anal Prev. 2017 Sep;106:392-398. doi: 10.1016/j.aap.2017.06.018. Epub 2017 Jul 17.
2
[Study on the secular trend of road traffic injuries and its influencing factors in China].[中国道路交通伤害的长期趋势及其影响因素研究]
Zhonghua Liu Xing Bing Xue Za Zhi. 2007 Feb;28(2):148-53.
3
Comparison of road crashes incidence and severity between some French counties.
Accid Anal Prev. 2003 Jul;35(4):537-47. doi: 10.1016/s0001-4575(02)00031-3.