亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Research on the physiological and psychological ability indicators of safety occupational adaptability of typical special operators in construction industry

适应性 德尔菲法 应用心理学 风险分析(工程) 操作员(生物学) 心理学 计算机科学 人工智能 业务 生态学 生物化学 转录因子 生物 基因 抑制因子 化学
作者
Pei Wu,Ke Jin,Long Chen,Mengke Li,Jian‐Feng Li,Tangming Zhao
出处
期刊:Safety and Reliability [Taylor & Francis]
卷期号:43 (1): 6-44 被引量:2
标识
DOI:10.1080/09617353.2024.2303698
摘要

In order to reduce the risk of safety incidents and reduce human-caused accident rates, the evaluation index of safety occupational adaptability for typical special operators in the construction industry has been studied. Firstly, this research defined the related concepts of safety occupational adaptability. Secondly, the interview and questionnaire survey method was used to conduct 13 physical and psychological abilities tests on 135 operators and selected the core ability indicators that reflect the mental load of the operators and the individual priority allocation of psychological resources. Thirdly, using the Delphi method, the opinions of 30 experts in related safety fields were sought anonymously, and the main physiological and psychological indicators were screened and filtered through the five-level scoring method. Then, six indicators of ‘accuracy, attention, judgment, rapid response ability, stability and proficiency’ were determined as the main physical and psychological indicators of the operators. Finally, using the statistical analysis methods to verify the ability indicators. The main physiological and psychological ability indicators of safety occupational adaptability for typical special operators were determined. It provided a reference for special operator training and effectively guaranteed safe production and construction. This research had important theoretical value and practical significance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
9秒前
钠电发布了新的文献求助10
14秒前
科研通AI2S应助钠电采纳,获得10
20秒前
小二郎应助钠电采纳,获得10
20秒前
渡人舟应助钠电采纳,获得10
21秒前
万能图书馆应助钠电采纳,获得10
21秒前
Hello应助钠电采纳,获得10
21秒前
Hello应助钠电采纳,获得10
21秒前
Jasper应助钠电采纳,获得10
21秒前
李健的小迷弟应助钠电采纳,获得10
22秒前
Orange应助钠电采纳,获得10
22秒前
小马甲应助钠电采纳,获得10
22秒前
汉堡包应助钠电采纳,获得10
29秒前
Lucas应助钠电采纳,获得10
29秒前
Nole应助钠电采纳,获得10
29秒前
SciGPT应助钠电采纳,获得10
29秒前
共享精神应助钠电采纳,获得10
29秒前
隐形骁完成签到,获得积分10
29秒前
研友_VZG7GZ应助钠电采纳,获得10
29秒前
完美世界应助钠电采纳,获得10
29秒前
molihuakai应助钠电采纳,获得10
29秒前
汉堡包应助钠电采纳,获得10
30秒前
Nole应助钠电采纳,获得10
30秒前
我是老大应助钠电采纳,获得10
36秒前
赘婿应助钠电采纳,获得10
37秒前
Nole应助钠电采纳,获得10
37秒前
星辰大海应助钠电采纳,获得10
37秒前
慕青应助钠电采纳,获得10
37秒前
小蘑菇应助钠电采纳,获得10
37秒前
星辰大海应助钠电采纳,获得10
38秒前
香蕉觅云应助钠电采纳,获得10
38秒前
李健应助钠电采纳,获得10
38秒前
打打应助钠电采纳,获得10
38秒前
JamesPei应助钠电采纳,获得10
45秒前
FashionBoy应助钠电采纳,获得10
45秒前
小蘑菇应助钠电采纳,获得10
45秒前
可爱的函函应助钠电采纳,获得10
46秒前
隐形曼青应助钠电采纳,获得10
46秒前
bkagyin应助钠电采纳,获得10
46秒前
NexusExplorer应助钠电采纳,获得10
46秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Les chinois de jakarta: temples et vie collective 500
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7626862
求助须知:如何正确求助?哪些是违规求助? 9201420
关于积分的说明 19728002
捐赠科研通 7197188
什么是DOI,文献DOI怎么找? 3273838
关于科研通互助平台的介绍 2436040
邀请新用户注册赠送积分活动 2269878