000			01764nab a2200229 4500
005			20260520174507.0
008			260224s2018 xxu ing
041			_aInglés
100	1		_aHuang, Lang _959747
100	1		_aWang, Bing _959748
100	1		_aWu, Chao _959749
100	1		_aOuyang, Qiumei _959750
245	0	0	_aA New Paradigm for Accident Investigation and Analysis in the Era of Big Data
260			_cmar. 2018
270			_a09/10/2020 ; 09/10/2020
300			_a7 p. ; 42-48
520			_aThe advent of the era of Big Data has spawned a new research paradigm and has transformed the outlook of numerous fields in science and engineering. Similarly, as one of the important fields of safety science, the area of accident investigation also has great opportunities for leveraging Big Data to its advantage. With this in mind, in this article, the influencing factors of accident investigation were analyzed. Then, the definition of Safety-related Big Data (SRBD) was analyzed, and a four-layer pyramidal structure consisting of SRBD, Safety Information, Safety Law, and Safety Knowledge was constructed. Based on this, the conceptual model of the accident investigation paradigm based on SRBD was proposed. Moreover, the opportunities offered by the proposed new paradigm were argued from three aspects, which are "tools," "inputs," and "constraints." Last, the proposed paradigm was applied in a case study. Results show that the proposed paradigm can provide a novel method for accident investigation and analysis. The presented paper aims to explore the great expectations for accident investigation in the era of Big Data
581			_a1
773	0		_tProcess safety progress
942			_cARTICULO _2ddc
999			_c193601 _d193601