收藏切换
Causal inference of effect of motor-vehicle driver's avoidance action on cyclists' injury
收藏切换
PDF
Tong ZHU1, Wei LI1, Yunfei ZHAO1, Xiaohu LI2, Peng WANG3
China Safety Science Journal | 2025, 35(6) : 27 - 36
Less
收藏切换
China Safety Science Journal | 2025, 35(6): 27-36
Safety social science and safety management
Causal inference of effect of motor-vehicle driver's avoidance action on cyclists' injury
Full
Tong ZHU1, Wei LI1, Yunfei ZHAO1, Xiaohu LI2, Peng WANG3
Affiliations
  • 1College of Transportation Engineering, Chang 'an University, Xi'an Shaanxi 710064, China
  • 2Zhengzhou Motor Vehicle Quality Inspection and Certification Technology Research Center Co. Ltd, Zhengzhou Henan 451468, China
  • 3China Automotive Technology and Research Center Co., Ltd., Tianjin 300300, China
Published: 2025-06-28 doi: 10.16265/j.cnki.issn1003-3033.2025.06.0530
Outline
收藏切换

To verify the impact of drivers' evasive actions on injuries of two-wheeler riders and to identify the conditions under which evasive maneuvers fail or even exacerbate the injuries, based on data from China In-Depth Accident Study (CIDAS), NSGA-II was first used to simulate and optimize the reconstruction of accident scenes. Vehicle speed and two-wheeler speed data at the moment of collision were extracted. A research dataset consisting of independent variables, dependent variables, and 11 covariates was constructed. Simulation-derived variables and investigation-based data fields were integrated to serve as the foundational data for modeling. Secondly, two causal inference methods were adopted, namely the propensity score (PS) weighting - regression analysis combination method considering positive hypotheses and covariate adjustment (inverse probability weighting (IPW) and overlap probability weighting (OW)), to infer the causality between evasive actions and injury severity, and to compare the inter-group balance after processing by IPW, OW and unweighted regression methods. Finally, the causal effect of drivers' evasive actions on the injury severity of two-wheeler riders under different conditions was quantitatively analyzed. The results show that, in general, the evasive actions currently adopted by drivers cannot effectively reduce the injury severity of riders. When the vehicle types are commercial vehicles and the motor vehicle traveling at medium to high speeds, taking evasive driving actions tends to aggravates the injuries of riders. Among these actions, steering maneuvers is more likely to increase the severity of rider injuries.

hedging action  /  two-wheeler  /  riders  /  injury degree  /  causal inference
Tong ZHU, Wei LI, Yunfei ZHAO, Xiaohu LI, Peng WANG. Causal inference of effect of motor-vehicle driver's avoidance action on cyclists' injury[J]. China Safety Science Journal, 2025 , 35 (6) : 27 -36 . DOI: 10.16265/j.cnki.issn1003-3033.2025.06.0530
Year 2025 volume 35 Issue 6
PDF
70
16
Cite this Article
BibTeX
Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.06.0530
  • Receive Date:2025-01-15
  • Online Date:2026-07-08
  • Published:2025-06-28
Article Data
Affiliations
History
  • Received:2025-01-15
  • Revised:2025-03-24
Funding
Affiliations
    1College of Transportation Engineering, Chang 'an University, Xi'an Shaanxi 710064, China
    2Zhengzhou Motor Vehicle Quality Inspection and Certification Technology Research Center Co. Ltd, Zhengzhou Henan 451468, China
    3China Automotive Technology and Research Center Co., Ltd., Tianjin 300300, China
References
Share
https://castjournals.cast.org.cn/joweb/zgaqkxxb/EN/10.16265/j.cnki.issn1003-3033.2025.06.0530
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT