Xie Yaohua, Xu Xueming, An Wenjuan
National Engineering and Research Center for Mountainous Highways, Chongqing, China.
China Merchants Chongqing Communications Technology Research & Design Institute Co., Ltd., Chongqing, China.
Front Psychol. 2022 Jan 31;12:800093. doi: 10.3389/fpsyg.2021.800093. eCollection 2021.
In this article, we tried to reveal the relationship between personality traits and escape behavior in traffic accidents. Different from common computer simulations, this study, for the first time, established a real database recording the escape behavior and personality traits of subjects when watching a first-person-view driving video with explosion. Then, we used a modeling method of general linear to establish a quantitative model of the influence of personality traits, explosion, and their interaction on escape behavior. In the model, we introduced escape response time, escape time, escape direction, escape speed, escape trajectory, and other motion characteristics to study individual escape behavior in accidents. Through the analysis, we concluded several conclusions, including that high neurotic individuals tend to escape with shorter response time and slower speed by choosing doors far from the explosion source. These conclusions may provide some references for the effective escape of the crowd and the successful escape of the individual under traffic accidents.
在本文中，我们试图揭示人格特质与交通事故中逃生行为之间的关系。与普通的计算机模拟不同，本研究首次建立了一个真实数据库，记录了受试者在观看带有爆炸场景的第一人称视角驾驶视频时的逃生行为和人格特质。然后，我们采用一般线性建模方法，建立了人格特质、爆炸及其相互作用对逃生行为影响的定量模型。在模型中，我们引入了逃生反应时间、逃生时间、逃生方向、逃生速度、逃生轨迹等运动特征，以研究事故中的个体逃生行为。通过分析，我们得出了几个结论，包括高神经质个体倾向于通过选择远离爆炸源的门，以更短的反应时间和较慢的速度逃生。这些结论可能为交通事故下人群的有效逃生和个体的成功逃生提供一些参考。
