Analysis of fall accidents characteristics in building construction based on frequency statistics and χ2-PCC

doi:10.16265/j.cnki.issn1003-3033.2023.04.0403

Abstract

Abstract:

In order to investigate the characteristics of falling accidents and their interactive mode, as well as the dominant factors, 746 accident reports published by the Ministry of Housing and Urban-Rural Development of the People's Republic of China and other departments from 2010 to 2020 were collected, from which seven typical accident characteristics and corresponding indicators were concluded, including occurrence time, accident level, direct economic loss, falling height, classification of work at height, protective measures and worker's age. The frequency statistics were used to analyze the falling accident characteristics and rules, and χ²-PCC method was employed to identify the correlation level and the mutual influence degree between each factor. The results show that nearly half of the falling accidents occurred in the level 2 height range and more than half of the workers did not take effective protective measures in the accidents, while falling height, the number of deaths, direct economic losses and protective measures have significant correlations. The correlation coefficient between protective measures and the other three factors are 0.119、0.149 and 0.187, respectively. The correlation coefficient between falling height and the number of deaths is 0.404, and that between direct economic losses and the number of deaths is 0.957, and that between halfway operation and the number of deaths is 0.17. Moreover, some protection blind zones exist at lower heights in construction sites, and the available protective measures have not effectively mitigated the severity of falling accidents. Therefore, it is suggested to strengthen the safety monitoring of operations in dangerous areas, improve the standard of casualty compensation, and pay attention to the inspection and spot check of the performance deterioration of protective equipment after long-term use.

Key words: frequency statistics, χ²-Pearson correlation coefficient (PCC), building construction, fall accidents, work at height, protection measures

XU Hu, CHEN Yuhang, HE Jiabin, YAHIA Halabi, LONG Danbing, ZHAO Shixing. Analysis of fall accidents characteristics in building construction based on frequency statistics and χ²-PCC[J]. China Safety Science Journal, 2023, 33(4): 91-99.

Figures/Tables 17

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References 25

[1]	常理. 决不能只重发展不顾安全[N]. 经济日报, 2020-04-29(5).
[2]	中华人民共和国住房和城乡建设部. 住房城乡建设部关于2019年房屋市政工程生产安全事故情况的通报[EB/OL].[2020-06-19].
[3]	马彬, 陈立道, 姜敏. 建筑施工高处坠落事故研究[J]. 中国安全科学学报, 2004, 4(9):108-112.
	MA Bin, CHEN Lidao, JIANG Min. Study on falling accidents in construction industry[J]. China Safety Science Journal, 2004, 14(9):108-112.
[4]	黄国耀, 许江, 车轫. 重庆市建筑业高处坠落事故调查分析[J]. 中国安全生产科学技术, 2007, 3(1):54-57.
	HUANG Guoyao, XU Jiang, CHE Ren, et al. Investigation and analysis on falling accidents of construction area in Chongqing[J]. Journal of Safety Science and Technology, 2007, 3(1):54-57.
[5]	张明轩, 朱月娇, 翟玉杰, 等. 建筑工程高处坠落事故的故障树分析方法研究[J]. 煤炭工程, 2008, 40(2):112-114.
	ZHANG Mingxuan, ZHU Yuejiao, ZHAI Yujie, et al. Research on fault tree analysis method for fall accidents in construction engineering[J]. Coal Engineering, 2008, 40(2):112-114.
[6]	邓航, 庞奇志, 朱德英, 等. 建筑施工高处坠落事故分析及预防对策[J]. 工业安全与环保, 2010, 36(4):57-59.
	DENG Hang, PANG Qizhi, ZHU Deying, et al. Analysis and countermeasures about falling accidents of architecture construction[J]. Industrial Safety and Environmental Protection, 2010, 36(4):57-59.
[7]	徐影, 杨高升, 夏柠萍, 等. 基于FTA-Reason的施工作业高空坠落风险预控研究[J]. 中国安全生产科学技术, 2015, 11(7):171-177.
	XU Ying, YANG Gaosheng, XIA Ningping, et al. Study on pre-control of high falling risk in construction operation based on FTA-Reason model[J]. Journal of Safety Science and Technology, 2015, 11(7):171-177.
[8]	赵金娜, 郭进平, 侯东升, 等. 基于AHP的高处坠落事故脆性分析[J]. 中国安全生产科学技术, 2009, 5(5):204-208.
	ZHAO Jinna, GUO Jinping, HOU Dongsheng, et al. Analysis of brittleness of falling accident based on analytic hierarchy process[J]. Journal of Safety Science and Technology, 2009, 5(5):204-208.
[9]	施式亮, 刘勇, 李润求, 等. 基于AHP-Fuzzy的高处坠落危险性评价研究[J]. 中国安全生产科学技术, 2011, 7(2):132-137.
	SHI Shiliang, LIU Yong, LI Runqiu, et al. Research and application on risk assessment of high falling based on AHP[J]. Journal of Safety Science and Technology, 2011, 7(2):132-137.
[10]	张洪, 宫运华, 傅贵. 基于“2-4”模型的建筑施工高处坠落事故原因分类与统计分析[J]. 中国安全生产科学技术, 2017, 13(9):169-174.
	ZHANG Hong, GONG Yunhua, FU Gui. Causes classification and statistical analysis on falling accidents on construction sites based on “2-4” model[J]. Journal of Safety Science and Technology, 2017, 13(9):169-174.
[11]	孙世梅, 赵金坤, 傅贵. 基于“2-4”模型的高处坠落事故行为原因研究[J]. 中国安全科学学报, 2019, 29(8):23-28. doi: 10.16265/j.cnki.issn1003-3033.2019.08.004
	SUN Shimei, ZHAO Jinkun, FU Gui. Study on behavioral causes of falling accidents based on "2-4" model[J]. China Safety Science Journal, 2019, 29(8):23-28. doi: 10.16265/j.cnki.issn1003-3033.2019.08.004
[12]	傅贵, 陈奕燃, 许素睿, 等. 事故致因“2-4”模型的内涵解析及第6版的研究[J]. 中国安全科学学报, 2022, 32(1):12-19. doi: 10.16265/j.cnki.issn1003-3033.2022.01.002
	FU Gui, CHEN Yiran, XU Surui. et al. Detailed explanations of 24Model and development of its 6^th version[J]. China Safety Science Journal, 2022, 32(1):12-19. doi: 10.16265/j.cnki.issn1003-3033.2022.01.002
[13]	国务院第172次常务会议. 生产安全事故报告和调查处理条例[L]. 2007-06-01.
[14]	COHEN J. Statistical power analysis for the behavioral sciences[M]. New York: Academic Press, 1977:167-168.
[15]	李金德, 秦晶. SPSS统计分析与应用[M]. 北京: 清华大学出版社, 2019:155,184-185.
[16]	SHAO Bo, HU Zhigen, LIU Quan, et al. Fatal accident patterns of building construction activities in China[J]. Safety Science, 2019, 111(1): 253-263. doi: 10.1016/j.ssci.2018.07.019
[17]	周建亮, 胡飞翔, 邢艳冬, 等. 工作压力、职业倦怠对建筑工人不安全行为的影响[J]. 中国安全科学学报, 2022, 32(11):14-22. doi: 10.16265/j.cnki.issn1003-3033.2022.11.2539
	ZHOU Jianliang, HU Feixiang, XING Yandong, et al. Influence of job stress and burnout on unsafe behaviors of construction workers[J]. China Safety Science Journal, 2022, 32(11):14-22. doi: 10.16265/j.cnki.issn1003-3033.2022.11.2539
[18]	李大君. “高薪”下的艰辛:建筑工人生存状态调查[J]. 建筑, 2014(4):6-25.
[19]	GB 50096—2011, 住宅设计规范[S].
	GB 50096-2011, Design code for residential building[S].
[20]	JGJ 80—2011, 建筑施工高处作业安全技术规范[S].
	JGJ 80-2011, Technical code for safety of working at height of building construction[S].
[21]	CAMERON I, DUFF R. A technical guide to the selection and use of fall prevention and arrest equipment[M]. Glasgow: HSE Books, 2005: 13-14.
[22]	HALABI Y, XU Hu, LONG Danbing, et al. Causal factors and risk assessment of fall accidents in the U.S. construction industry: a comprehensive data analysis (2000-2020)[J]. Safety Science, 2022, 146: DOI:org/10.1016/j.ssci.2021.105537. doi: org/10.1016/j.ssci.2021.105537
[23]	GBT 3608—2008, 高处作业分级[S].
	GBT 3608-2008, Classification of work at heights[S].
[24]	GB 672119—1986, 企业职工伤亡事故经济损失统计标准[S].
	GB 672119-1986, Statistical standard of economic losses from injury-fatal accidents of enterprise staff and workers[S].
[25]	国务院第28次常务会议. 建筑工程安全管理条例[L]. 2003-11-24.

序号	特征	区间
1	时段	(4:00,12:00],(12:00,20:00],(20:00,4:00]
2	年龄/岁	(0,35],(35,55],(55,∞)
3	直接经济损失/万元	(0,50],(50,100],(100,∞)
4	防护措施	无防护措施,有防护措施
5	事故等级	一般事故(死亡人数<3),非一般事故(死亡人数≥3)
6	坠落高度/m	(0,10],(10,20],(20,∞)
7	高处作业类别	临边作业,洞口作业,悬空作业,攀登作业

事故等级	事故起数			死亡人数
事故等级	事故起数	占比/%	累计占比/%	数量1起	占比/%	累计占比/%
一般	711	95.31	95.31	715	81.71	81.71
较大	33	4.42	99.73	130	14.86	96.57
重大	2	0.27	100.00	30	3.43	100.00
特别重大	0	0.00	100.00	0	0.00	100.00

因变量	自变量	χ²独立性检验
因变量	自变量	有效个案数	皮尔逊卡方χ²	自由度	Phi系数	克莱姆V	显著性p 值(双侧)
坠落高度	时段	789	6.594	4	0.091	0.065	0.159
	年龄	459	10.009	4	0.148	0.104	0.040
	直接经济损失	611	28.092	4	0.214	0.152	0.000
	防护措施	632	30.627	2	0.220	0.220	0.000
	事故等级	794	144.909	2	0.427	0.427	0.000
	高处作业类型	779	49.553	6	0.252	0.178	0.000
防护措施	时段	683	2.965	2	0.066	0.066	0.227
	年龄	444	7.929	2	0.134	0.134	0.019
	直接经济损失	572	31.188	2	0.234	0.234	0.000
	坠落高度	632	30.627	2	0.220	0.220	0.000
	事故等级	686	10.783	1	0.125	0.125	0.001
	高处作业类型	684	2.782	3	0.064	0.064	0.426

变量	编号	1	2	3	4	5	6	7	8
年龄	1	—	0.646	0.033^*	0.082	<0.001^**	0.182	0.017^*	0.017^*
时段	2	0.646	—	0.042^*	0.005^**	0.577	0.287	0.614	0.758
坠落高度	3	0.033^*	0.042^*	—	<0.001^**	<0.001^**	0.003^**	0.305	<0.001^**
死亡人数	4	0.082	0.005^**	<0.001^**	—	<0.001^**	<0.001^**	<0.001^**	0.645
直接经济损失	5	<0.001^**	0.577	<0.001^**	<0.001^**	—	<0.001^**	0.007^**	0.037^*
防护措施	6	0.182	0.287	0.003^**	<0.001^**	<0.001^**	—	0.290	0.268
悬空作业	7	0.017^*	0.614	0.305	<0.001^**	0.007^**	0.290	—	<0.001^**
临边作业	8	0.017^*	0.758	<0.001^**	0.645	0.037^*	0.268	<0.001^**	—

Analysis of fall accidents characteristics in building construction based on frequency statistics and χ²-PCC

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