全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

山区高速公路施工工人安全意识研究与评价
Research and Evaluation on Safety Consciousness of Construction Workers of Mountain Expressway

DOI: 10.12677/AP.2023.132049, PP. 397-407

Keywords: 安全管理工程,安全意识,熵值法,主成分分析法,模糊综合评价
Safety Management Engineering
, Safety Awareness, Entropy Value Method, Principal Component Analysis, Fuzzy Comprehensive Evaluation

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对当前难以准确衡量山区高速公路建设企业施工工人安全意识的问题,为有效减少因工人安全意识薄弱导致的安全生产事故,将工人安全意识界定为施工安全交流、施工安全认知、施工安全态度和施工安全行为四个一级指标,利用主成分分析和熵值法确定各级评价指标的权重,通过灰色关联分析和模糊综合评价法对山区高速公路建设企业不同工人群体的安全意识进行评价。研究结果表明:不同作业场所的工人群体中,地面作业的工人群体安全意识较强(b = 0.72),而高空作业群体的安全意识水平较低(b = 0.33);不同年龄段的工人群体中,41~50岁的工人群体安全意识水平较高(b = 0.82),18~20岁(b = 0.53)和51岁及以上的工人群体(b = 0.47)安全意识水平较低;不同工龄段的工人群体中,工龄在3~5年(b = 0.77),以及5~10年(b = 0.75)的工人安全意识水平最高,而工龄在第1年(b = 0.38),以及1~3年(b = 0.34)的工人群体安全意识水平较低。研究结果可以用于评估不同施工群体的安全意识水平,可为企业后续针对性实施安全管理培训提供决策参考及理论依据。
In order to effectively reduce the safety accidents caused by weak worker safety awareness, workers’ safety awareness is defined as four first-level indicators, namely, construction safety communication, construction safety awareness, construction safety attitude and construction safety behavior. Principal component analysis and entropy method are used to determine the weight of evaluation indexes at all levels, and the safety awareness of different workers in mountain expressway construction enterprises is evaluated by grey correlation analysis and fuzzy comprehensive evaluation method. The results show that workers working on the ground have a strong safety awareness (b = 0.72), while workers working at the height have a low safety awareness (b = 0.33). Among workers in different age groups, 41~50 years old workers have a higher level of safety awareness (b = 0.82), 18~20 years old workers (b = 0.53) and 51 years old and above workers have a lower level of safety awareness (b = 0.47). Among the workers with different working years, the workers with 3~5 years (b = 0.77) and 5~10 years (b = 0.75) have the highest level of safety awareness, while the workers with the first year (b = 0.38) and 1~3 years (b = 0.34) have a lower level of safety awareness. The research results can be used to evaluate the level of safety awareness of different construction groups, and can provide decision reference and theoretical basis for the subsequent implementation of safety management training for enterprises.

References

[1]  代晓辉(2012). 煤矿从业人员的安全意识研究. 硕士学位论文, 阜新: 辽宁工程技术大学.
[2]  冯忠祥, 季诺亚, 罗毅, 等(2020). 基于问卷调查的公众交通安全意识评价方法. 中国公路学报, 33(6), 212-223.
[3]  郝鹏(2016). 解析安全意识在建筑施工管理中的应用. 民营科技, (3), 117.
[4]  黄希頔, 张艳(2018). 云南省高速公路建设施工安全事故特点及预防对策解析. 公路交通科技(应用技术版), 14(3), 312-313.
[5]  冀成楼(2009). 培养安全意识,改变不安全行为. 中国安全生产科学技术, (S1), 84-87.
[6]  姜沁瑶, 李洁(2016). 基于ISM的建筑工人安全意识影响因素. 土木工程与管理学报, 33(3), 106-10+17.
[7]  姜同贺, 陈雪波, 孙秋柏(2017). 交互关系对员工安全意识影响的研究. 武汉理工大学学报(信息与管理工程版), 39(1), 528-532.
[8]  李远广(2015). 浅谈建筑企业施工管理人员安全意识影响因素研究. 建设科技, (13), 95-96.
[9]  刘克会, 丁辉(2006). 基于模糊理论的安全意识评价方法研究. 露天采矿技术, (5), 42-44.
[10]  钱宾佳(2017). 安全投入与安全意识的关系研究. 硕士学位论文, 上海: 华东理工大学.
[11]  戎靖(2008). 交通安全意识与安全行为之间的关系研究. 硕士学位论文, 北京: 北京交通大学.
[12]  苏爱科(2020). 河百高速公路建设风险管理后评价. 硕士学位论文, 西安: 长安大学.
[13]  杨辰飞, 陈雪波, 孙秋柏(2015). 企业员工安全意识影响因素的探索和分析. 中国安全科学学报, 25(1), 34-39.
[14]  殷文韬(2014). 煤矿瓦斯爆炸事故的不安全动作原因研究. 硕士学位论文, 北京: 中国矿业大学(北京).
[15]  张典, 李猛(2010). 试析民航飞行员职业安全意识的影响因素. 赤峰学院学报(自然科学版), 26(1), 156-158.
[16]  Chang, Y. H., & Liao, M. Y. (2009). The Effect of Aviation Safety Education on Passenger Cabin Safety Awareness. Safety Science, 47, 1337-1345.
https://doi.org/10.1016/j.ssci.2009.02.001
[17]  Conrad, P., Bradshaw, Y. S., Lamsudin, R. et al. (1996). Helmets, Injuries and Cultural Definitions: Motorcycle Injury in Urban Indonesia. Accident: Analysis and Prevention, 28, 193-200.
https://doi.org/10.1016/0001-4575(95)00056-9
[18]  Forcier, B. (2001). Creating a Safer Working Environment Through Psychological Assessment. Journal of Prevention & Intervention Community, 22, 53-65.
https://doi.org/10.1300/J005v22n01_06
[19]  Han, S., & Lee, S. (2013). A Vision-Based Motion Capture and Recognition Framework for Behavior-Based Safety Management. Automation in Construction, 35, 131-141.
https://doi.org/10.1016/j.autcon.2013.05.001
[20]  Liu, Y. L., Huang, X. L., Duan, J. et al. (2017). The Assessment of Traffic Accident Risk Based on Grey Relational Analysis and Fuzzy Comprehensive Evaluation Method. Natural Hazards, 88, 1409-1422.
https://doi.org/10.1007/s11069-017-2923-2
[21]  Ma, R., & Kaber, D. (2005). Situation Awareness and Workload in Driving While Using Adaptive Cruise Control and a Cell Phone. International Journal of Industrial Ergonomics, 35, 939-953.
https://doi.org/10.1016/j.ergon.2005.04.002
[22]  Oltedal, S., & Rundmo, T. (2006). The Effects of Personality and Gender on Risky Driving Behaviour and Accident Involvement. Safety Science, 44, 621-628.
https://doi.org/10.1016/j.ssci.2005.12.003
[23]  Trask, S. J. (1998). Measuring Perceptions of Workplace Safety: Development and Validation of the Work Safety Scale. Journal of Safety Research, 29, 145-161.
https://doi.org/10.1016/S0022-4375(98)00011-5

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133