基于SIRS模型的矿工不安全行为传播研究
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摘要
从煤矿员工的不安全行为入手,借鉴SIR信息传播模型,并与煤矿安全系统的特点相结合,分析了不安全行为在矿工之间的传播机制。首先,提出了一种煤矿员工不安全行为传播的SIRS模型,并从理论层面证明解的存在性以及稳定性;然后,通过数值模拟对煤矿安全系统的稳定性进行分析,研究了各个参数变化对系统稳态的影响,为煤矿安全的研究提供了一种新思路。
From a start with the unsafe behaviors of the staff in an underground coal mine,in references to the SIR information propagation model and in combination with the characteristics of the mine safety system,the paper analyzed the propagation mechanism of the unsafe behaviors between the staffs. First the paper provided the SIRS model of the staff unsafe behavior propagation in the coal mine. From the theoretical level,the existence and stability of the system were proved. Then the numerical simulation was applied to the analysis on the stability of the mine safety system and to the study on the each parameter variation affected to the system stability. Thus a new idea was provided to the study on the mine safety.
From a start with the unsafe behaviors of the staff in an underground coal mine,in references to the SIR information propagation model and in combination with the characteristics of the mine safety system,the paper analyzed the propagation mechanism of the unsafe behaviors between the staffs. First the paper provided the SIRS model of the staff unsafe behavior propagation in the coal mine. From the theoretical level,the existence and stability of the system were proved. Then the numerical simulation was applied to the analysis on the stability of the mine safety system and to the study on the each parameter variation affected to the system stability. Thus a new idea was provided to the study on the mine safety.
引文
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[3]Mattews G A,Mc Sween T E.The values-based safety process:Improving your safety culture with a behavior-based approach[J].Journal of organizational behavior management,1999,19(3):115-119.
[4]Fam I M,Nikoomaram H,Soltanian A.Comparative analysis of creative and classic training methods in health,safety and environment(HSE)participation improvement[J].Journal of Loss Prevention in the Process Industries,2012,25(2):250-253.
[5]Seo H C,Lee Y S,Kim J J,et al.Analyzing safety behaviors of temporary construction workers using structural equation modeling[J].Safety Science,2015:160-168.
[6]Mohammadfam I,Ghasemi F,Kalapour O,et al.Constructing a Bayesian network model for improving safety behavior of employees at workplaces[J].Applied Ergonomics,2017,58:35-57.
[7]Han S,Saba F,Lee S,et al.Toward an understanding of the impact of production pressure on safety performance in construction operations.[J].Accident;analysis and prevention,2014,68(1):106-116.
[8]Duma K,Husodo A H,Soebijanto,et al.The policy of control health and safety and the risk factors in the coal mining of east Kalimantan[J].Bmc Public Health,2014,14(1):1186-1471.
[9]Jitwasinkul B,Hadikusumo B H W,Memon A Q.A Bayesian Belief Network model of organizational factors for improving safe work behaviors in Thai construction industry[J].Safety Science,2016,82(3):264-273.
[10]Flin R,Mearns K,O'Connor P,et al.Measuring safety climate:Identifying the common features[J].Safety Science,2000,34(1):177-192.
[11]Cooper P D.Towards a model of safety culture[J].Safety Science,2000,36(2):111-136.
[12]Tharaldsen J E,Olsen E.A longitudinal study of safety climate on the Norwegian continental shelf[J].Safety Science,2008,46(3):427-439.
[13]Liu Q,Li X,Hassall M.Evolutionary game analysis and stability control scenarios of coal mine safety inspection system in China based on system dynamics[J].Safety Science,2015:13-22.
[14]许正权,张妮,王华清,等.矿工不安全行为的网络传播性分析[J].科技进步与对策,2014(11):54-56.
[15]Centola D.The Spread of Behavior in an Online Social Network Experiment[J].Science,2010,329(5996):1194-1197.
[16]Gordon J E.Epidemiology in modern perspective[J].Proceedings of the Royal Society of Medicine,1954,47(7):564.
[17]Zhao L,Wang Q,Cheng J,et al.Rumor spreading model with consideration of forgetting mechanism:A case of online blogging Live Journal[J].Physica A Statistical Mechanics&Its Applications,2011,390(13):2619-2625.
[18]Zhao L,Wang J,Cheng Y,et al.SIHR rumor spreading model in social networks[J].Physical A,2012,391(7):2444-2453.
[19]王金龙,刘方爱,朱振方.一种基于用户相对权重的在线社交网络信息传播模型[J].物理学报,2015,64(5):63-73.
[20]万贻平,张东戈,任清辉.考虑谣言清楚过程的网络谣言传播与抑制[J].物理学报,2015,64(24):69-79.