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碰撞速度和行人年龄对下肢严重损伤风险的影响 被引量:4

Effects of impact speeds and pedestrian ages on lower extremity serious injury risk
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摘要 研究了真实交通事故中的行下肢损伤风险。应用了"德国深入事故调查研究"(GIDAS)数据库中的带有行人下肢损伤的404个案例,采用逻辑回归的方法,研究了汽车碰撞速度和行人年龄对行人下肢严重损伤(AIS2+)以及胫骨/腓骨骨折风险的影响。结果显示:碰撞速度和行人年龄都是影响行人下肢AIS2+损伤和胫骨/腓骨骨折风险的显著性因素。在所用样本中,当碰撞速度为47.5 km/h时,行人下肢AIS2+损伤风险为50%;当碰撞速度高达64.5 km/h时,胫骨/腓骨骨折风险为50%。同时,行人下肢损伤风险随着年龄的增大而增加。 The lower extremity injury risks of pedestrian in real world accident were investigated. A subsample of 404 cases with pedestrian lower extremity injuries from the German In-Depth Accident Study (GIDAS) database were used to statistical analysis. Some logistic regression models of the risks for lower extremity AIS2+ injuries and tibia/fibula fractures were developed by means of vehicle impact speeds and pedestrian ages. The results show that impact speed and age are the two statistically significant predictors for pedestrianssustaining lower extremity AIS2+injuries and tibia/fibula fractures. In the selected sample, the lower extremity AIS2+ injury risk is 50% probability at the impact speed of 47.5 km/h. The tibia/fibula fracture injury risks are 50% at the impact speed of 64.5 km/h. The risk of injury increases with the increasing of age.
作者 王丙雨 聂进 Dietmar OTTE 王方 韩勇 彭倩 WANG Bingyu 1,2, NIE Jin 3, OTTE Dietmar4, WANG Fang1,2, HAN Yong1,2, PENG Qian1,2(1. School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, 361024, China; 2. Fujian Collaborative Innovation Center for R&D of Coach and Special Vehicle, Xiamen, 361024, China; 3. Know-How Automotive School, Loudi Professional Technology College, Loudi 417000, China; 4. Accident Research Unit, Medical University of Hannover, Hannover 30625, German)
出处 《汽车安全与节能学报》 CAS CSCD 2018年第1期25-31,共7页 Journal of Automotive Safety and Energy
基金 国家自然科学基金青年项目(51605407) 福建省自然科学基金面上项目(2017J01652) 福建省教育厅科研项目(JAT170427 JAT160365)
关键词 汽车被动安全 行人碰撞事故 下肢AIS2+损伤 胫/腓骨骨折 逻辑回归模型 碰撞速度 祗人辱汝 automobile passive safety pedestrian traffic accident lower extremity AIS2+ injuries tibia/fibulafractures, logistic regression model impact speed pedestrian age
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