کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4981072 1367850 2018 12 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Methodologies, principles and prospects of applying big data in safety science research
ترجمه فارسی عنوان
روش شناسی، اصول و چشم انداز استفاده از داده های بزرگ در تحقیقات علوم ایمنی
کلمات کلیدی
داده های ایمنی بزرگ (SBD)؛ داده های ایمنی کوچک (SSD)؛ علم ایمنی؛ نرم افزار داده های بزرگ؛ روش؛ اصل؛ چشم انداز و چالش؛
Safety big data (SBD); Safety small data (SSD); Safety science; Big data application; Method; Principle; Prospect and challenge;
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بهداشت و امنیت شیمی
چکیده انگلیسی

•Described the differences between SBD and SSD from four aspects.•Provided five universal interoperable methods of SBD and SSD.•Put forward nine basic SBD principles and analyze their architecture system.•Given the prospects and challenges of applying big data in safety science research.

It is clear that big data has numerous potential impacts in many fields. However, few papers discussed its applications in the field of safety science research. Additionally, there exist many problems that cannot be ignored when big data is applied to safety science, most outstanding of which is lack of universal supporting theory that guides how to apply big data to safety science research like methods, principles and approaches, etc. In other terms, it is not enough for big data to be viewed as a strong enabler for safety science applications mainly due to lack of universal and basic theory from the perspective of safety science. Considering the above analyzes, the two key objectives of this paper are: (1) to propose the connotation of safety big data (SBD) and its applying rules, methods and principles, and (2) to put forward some application prospects and challenges of big data to safety science research seen from theoretical research. First, by comparing SBD and traditional safety small data (SSD) from four aspects including theoretical research, typical research method, specific analysis method and processing mode, this paper puts forward the definition and connotation of SBD. Subsequently this paper further summarizes and extracts the application rules and methods of SBD. And then nine principles of SBD are explored and their relationship and application are addressed from the view of theory architecture and working framework in data processing flow. At last, this paper also discusses the potential applications and some hot issues of SBD. Overall, this paper will play an essential role in supporting the application of SBD. In addition, it will fill in the theory gaps in the field of SBD beyond traditional safety statistics, and further enriches the contents of safety science.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Safety Science - Volume 101, January 2018, Pages 60-71
نویسندگان
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