安全心理大数据的基础性问题研究
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摘要
为探究大数据对安全心理学发展影响,把握大数据背景下安全心理学研究方向,基于大数据、安全心理学的理论,提出安全心理大数据定义,并阐述其内涵及研究意义。在此基础上,分析对比安全心理大数据与样本数据差异性,提出并解析安全心理大数据研究类型与准则,提炼基于大数据思维的安全心理学6条基础原理,构建安全心理大数据研究的"理论—技术—应用"三维结构体系。研究表明:基于大数据思维的安全心理学研究是未来发展趋势,其研究内容包括安全心理大数据的理论基础与应用基础。
To explore the influence of big data on the development of safety psychology,and master the research directions of safety psychology in the background of big data,based on the theories of big data and safety psychology,the definition of safety psychology big data was put forward,and its connotation and research significance were analyzed. On this basis,the differences between the safety psychology big data and the sample data were analyzed and compared. The types and criterions of research on safety psychology big data were proposed and analyzed,and the 6 basic principles of safety psychology based on big data thinking were proposed,then the three-dimensional structure system of theory,technology and application for the research on safety psychology big data were constructed. The results showed that the research of safety psychology based on big data thinking is the future development trend,and its research contents include the theoretical basis and application foundation of safety psychology big data.
To explore the influence of big data on the development of safety psychology,and master the research directions of safety psychology in the background of big data,based on the theories of big data and safety psychology,the definition of safety psychology big data was put forward,and its connotation and research significance were analyzed. On this basis,the differences between the safety psychology big data and the sample data were analyzed and compared. The types and criterions of research on safety psychology big data were proposed and analyzed,and the 6 basic principles of safety psychology based on big data thinking were proposed,then the three-dimensional structure system of theory,technology and application for the research on safety psychology big data were constructed. The results showed that the research of safety psychology based on big data thinking is the future development trend,and its research contents include the theoretical basis and application foundation of safety psychology big data.
引文
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[3]Shi Q,Abdel-Aty M.Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expressways[J].Transportation Research Part C Emerging Technologies,2015,58:380-394.
[4]Wang Y,Yang B,Luo Y,et al.The Application of Big data Mining in Risk Warning for Food Safety[J].Asian Agricultural Research,2015(8):6-8.
[5]Guo S Y,Ding L Y,Luo H B,et al.A Big-Data-based platform of workers'behavior:Observations from the field[J].Accident Analysis&Prevention,2016,93:299-309.
[6]王秉,吴超.基于安全大数据的安全科学创新发展探讨[J].科技管理研究,2017,37(1):37-43.WANG Bing,WU Chao.Study on the innovation research of safety science based on the safety big data[J].Science and Technology Management Research,2017,37(1):37-43.
[7]欧阳秋梅,吴超,黄浪.大数据应用于安全科学领域的基础原理研究[J].中国安全科学学报,2016,26(11):13-18.OUYANG Qiumei,WU Chao,HUANG Lang.Research on basic principles of applications of big data in field of safety science[J].China Safety Science Journal,2016,26(11):13-18.
[8]郭聖煜,骆汉宾,滕哲,等.地铁施工工人不安全行为关联规则研究[J].中国安全生产科学技术,2015,11(10):185-190.GUO Shengyu,LUO Hanbin,TENG Zhe,et al.Research on association rules of unsafe behavior for metro construction workers[J].Journal of Safety Science and Technology,2015,11(10):185-190.
[9]栗继祖,钟治国.员工安全心理调查与对策[J].现代职业安全,2016(2):110-113.LI Jizu,ZHONG Zhiguo.Investigation and countermeasure of employee safety psychology[J].Modern Occupational Safety,2016(2):110-113.
[10]张玉婷,魏晓昕,栗继祖.煤矿工人特质焦虑状况与不安全心理研究[J].煤矿安全,2015(7):245-248.ZHANG Yuting,WEI Xiaoxin,LI Jizu.Study on trait anxiety status and unsafe mentality of miners[J].Safety in Coal Mines,2015(7):245-248.
[11]仝世渝,周婧婧,胡启明,等.电力员工安全心理状况研究[J].电力安全技术,2013(3):7-14.TONG Shiyu,ZHOU Jingjing,HU Qiming,et al.Research on safety psychology status of electric employees[J].Electric Safety Technology,2013(3):7-14.
[12]李乃文,姜秋敏.矿工不安全心理的结构和测量[J].心理学探新,2010(3):91-96.LI Naiwen,JIANG Qiumin.Structure and measurement of miners'unsafe psychology[J].Psychological Exploration,2010(3):91-96.
[13]金兰军,曲以智,张玲,等.某航空公司航空安全心理状况调查与分析[J].中国民用航空,2008(2):38-40.JIN Lanjun,QU Yizhi,ZHANG Ling,et al.Investigation and analysis on aviation safety psychology status of an airline company[J].China Civil Aviation 2008(2):38-40.
[14]胡晓娟,吴超.人的安全心理特性研究方法的综述研究[J].中国安全科学学报,2009,19(7):5-13.HU Xiaojuan,WU Chao.Review on the studying methodologies of human safety psychological characteristics[J].China Safety Science Journal,2009,19(7):5-13.
[15]喻丰,彭凯平,郑先隽.大数据背景下的心理学:中国心理学的学科体系重构及特征[J].科学通报,2015,60(S1):520-533.YU Feng,PENG Kaiping,ZHENG Xianjun.Big data and psychology in China:The discipline system reconstruction and characteristics of Chinese psychology[J].Chinese Science Bulletin,2015,60(S1):520-533.
[16]吴超.安全科学方法论[M].北京:科学出版社,2016.WU Chao.Methodology of safety science[M].Beijing:Science Press Co.Ltd.,2016.
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[18]李晶,俞国良.大数据视野下的心理学与教育学研究变革[J].中国人民大学教育学刊,2015(4):57-69.LI Jing,YU Guoliang.Psychology and education research transformation from the perspective of big data[J].Renmin University of China Education Journal,2015(4):57-69.
[19]Golder S A,Macy M W.Diurnal and seasonal mood vary with work,sleep,and daylength across diverse cultures[J].Science,2011,333(6051).
[20]Candás J L C,Peláez V,López G.An automatic data mining method to detect abnormal human behav-iour using physical activity measurements[J].Pervasive and Mobile Computing,2014,15:228-241.