中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (10): 60-66.doi: 10.16265/j.cnki.issn1003-3033.2025.10.1684

• 安全社会科学与安全管理 • 上一篇    下一篇

能源工程安全中的认知偏差与决策优化机制:以福岛核电站事故为例

刘宇腾1(), 刘宇飞2, 王景刚1,**(), 罗景辉1, 张昌建1   

  1. 1 河北工程大学 能源与环境工程学院,河北 邯郸 056038
    2 石家庄铁道大学 安全工程与应急管理学院,河北 石家庄 050011
  • 收稿日期:2025-05-04 修回日期:2025-07-06 出版日期:2025-10-28
  • 通信作者:
    **王景刚(1962—),男,山东海阳人,博士,教授,主要从事能源系统工程方面的研究。E-mail:
  • 作者简介:

    刘宇腾 (2000—),男,河北秦皇岛人,硕士研究生,主要研究方向为能源系统运行。E-mail:

  • 基金资助:
    河北省重点研发计划项目(236Z4310G); 河北省创新能力提升计划项目(2256769H)

Cognitive bias and decision optimization mechanism in energy engineering safety: case study of Fukushima nuclear power plant accident

LIU Yuteng1(), LIU Yufei2, WANG Jinggang1,**(), LUO Jinghui1, ZHANG Changjian1   

  1. 1 School of Energy and Environmental Engineering, Hebei University of Engineering, Handan Hebei 056038, China
    2 School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang Hebei 050011, China
  • Received:2025-05-04 Revised:2025-07-06 Published:2025-10-28

摘要: 为了探究认知偏差对于能源安全工程决策所造成的影响,以福岛核电站事故为研究对象,通过事故时间线回溯和关键决策点解析,构建从风险识别(地震海啸评估)、危机处置(冷却系统失效处理)到善后管理(信息披露决策)的全周期决策分析链,运用认知心理学理论,分析能源工程安全管理中的决策偏差现象,揭示其在应急响应、风险评估等环节的具体作用机制。结果表明:福岛核电站事故的应急决策中存在确认偏误、锚定效应、代表性启发法、框架效应、损失厌恶和过度自信6类典型认知偏差;认知偏差分析能够提升能源工程安全管理水平和安全应急响应的有效性。

关键词: 认知偏差, 决策优化, 能源工程, 核电站事故, 应急响应

Abstract:

To study the impact of cognitive bias on energy safety engineering decision-making, the Fukushima nuclear power plant accident was taken as the research object. A full-cycle decision-making analysis chain, covering risk identification (earthquake and tsunami assessment), crisis disposal (cooling system failure treatment), and aftermath management (information disclosure decision-making), was built through retrospective analysis of the accident timeline and key decision points. Cognitive psychology theory was used to analyze decision-making bias phenomena in energy engineering safety management, and the specific mechanisms of these biases in emergency response and risk assessment were revealed. Results show that six typical cognitive biases are present in the emergency decision-making during this accident, including confirmation bias, anchoring effect, representative heuristics, framing effect, loss aversion, and overconfidence. This analysis demonstrates that cognitive bias identification can enhance energy engineering safety management, and improve the effectiveness of safety emergency responses.

Key words: cognitive biases, decision optimization, energy engineering, nuclear power plant accident, emergency response

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