A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011-2020
文献类型：期刊论文
| 作者 | Zhang, Jingyu6,7 ; Liu, Fangyan5; Chen, Zhenqi5; Yu, Zhenhua5; Xiao, Xingyao4; Shi, Lei1,2,3,5; Guo, Zizheng1,2,3,5
|
| 刊名 | ACCIDENT ANALYSIS AND PREVENTION
 |
| 出版日期 | 2023-12-01 |
| 卷号 | 193页码:12 |
| 关键词 | Railway collision Train-pedestrian collision Multi-level analysis Mixed-effects models |
| ISSN号 | 0001-4575 |
| DOI | 10.1016/j.aap.2023.107332 |
| 通讯作者 | Guo, Zizheng(guozizheng@swjtu.edu.cn) |
| 英文摘要 | Collisions between trains and pedestrians are the primary cause of railway casualties. However, there remains a lack of comprehensive understanding regarding the underlying causes of this phenomenon. This study employs a multi-level approach to investigate the factors associated with the occurrence and severity of train-pedestrian collisions. The investigation is based on 2160 independent cases that occurred in southwest China from 2011 to 2020. Multiple contributing factors related to the victim, train, track, and socio-economic status of the surrounding district were examined, utilizing information from various sources. At the county level, several risk factors were identified in predicting the occurrence rate. These factors include higher population density and a greater number of normal-speed stations. However, the presence of high-speed train stations did not exhibit any significant impact. Additionally, the study found that regulations pertaining to protective fences were highly effective in reducing the occurrence rate. Regarding the prediction of collision severity, certain factors were found to increase the death rate. These factors include young men as victims, engaging in lying down or crossing behaviors, higher train speeds, gentle downhill slopes, lower education levels, and a higher proportion of the labor force. These findings emphasize the necessity of adopting a comprehensive perspective when examining the causes of train-pedestrian collisions. Furthermore, it underscores the significance of considering the notable differences between rapidly developing countries such as China and developed countries. Based on our findings, we also provide corresponding policy suggestions. |
| 收录类别 | SCI |
| WOS关键词 | CRASH INJURY SEVERITY ; RAIL GRADE CROSSINGS ; POISSON REGRESSION ; ANALYTIC METHODS ; FATALITIES ; EPIDEMIOLOGY ; PATTERNS ; SUICIDE ; MODELS ; DECADE |
| 资助项目 | National Natural Science Foundation of China[T2192932] ; National Natural Science Foundation of China[52072320] |
| WOS研究方向 | Engineering ; Public, Environmental & Occupational Health ; Social Sciences - Other Topics ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:001086960200001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.psych.ac.cn/handle/311026/46323]  |
| 专题 | 心理研究所_中国科学院行为科学重点实验室 |
| 通讯作者 | Guo, Zizheng |
| 作者单位 | 1.Comprehens Transportat Key Lab Sichuan Prov, Chengdu 610031, Peoples R China 2.Southwest Jiaotong Univ, Natl United Engn Lab Integrated & Intelligent Tran, Chengdu 611756, Peoples R China 3.Natl Engn Lab Integrated Transportat Big Data Appl, Chengdu 611756, Peoples R China 4.Univ Calif Berkeley, Berkeley Sch Educ, Berkeley, CA 94720 USA 5.Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Peoples R China 6.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China 7.Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Jingyu,Liu, Fangyan,Chen, Zhenqi,et al. A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011-2020[J]. ACCIDENT ANALYSIS AND PREVENTION,2023,193:12. |
| APA | Zhang, Jingyu.,Liu, Fangyan.,Chen, Zhenqi.,Yu, Zhenhua.,Xiao, Xingyao.,...&Guo, Zizheng.(2023).A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011-2020.ACCIDENT ANALYSIS AND PREVENTION,193,12. |
| MLA | Zhang, Jingyu,et al."A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011-2020".ACCIDENT ANALYSIS AND PREVENTION 193(2023):12. |
入库方式： OAI收割
来源：心理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。