Risk accumulation assessment method for building construction based on complex network

节点(物理) 中心性 计算机科学 风险评估 风险分析(工程) 复杂网络 钥匙(锁) 过程(计算) 数据挖掘 工程类 业务 数学 计算机安全 统计 结构工程 万维网 操作系统
作者
Dongqiang Cao,Lianhua Cheng
出处
期刊:Engineering, Construction and Architectural Management [Emerald Publishing Limited]
卷期号:32 (3): 1522-1545 被引量:7
标识
DOI:10.1108/ecam-02-2023-0149
摘要

Purpose In the evolution process of building construction accidents, there are key nodes of risk change. This paper aims to quickly identify the key nodes and quantitatively assess the node risk. Furthermore, it is essential to propose risk accumulation assessment method of building construction. Design/methodology/approach Authors analyzed 419 accidents investigation reports on building construction. In total, 39 risk factors were identified by accidents analysis. These risk factors were combined with 245 risk evolution chains. Based on those, Gephi software was used to draw the risk evolution network model for building construction. Topological parameters were applied to interpret the risk evolution network characteristic. Findings Combining complex network with risk matrix, the standard of quantitative classification of node risk level is formulated. After quantitative analysis of node risk, 7 items of medium-risk node, 3 items of high-risk node and 2 items of higher-risk nodes are determined. The application results show that the system risk of the project is 44.67%, which is the high risk level. It can reflect the actual safety conditions of the project in a more comprehensive way. Research limitations/implications This paper determined the level of node risk only using the node degree and risk matrix. In future research, more node topological parameters that could be applied to node risk, such as clustering coefficients, mesoscopic numbers, centrality, PageRank, etc. Practical implications This article can quantitatively assess the risk accumulation of building construction. It would help safety managers could clarify the system risk status. Moreover, it also contributes to reveal the correspondence between risk accumulation and accident evolution. Originality/value This study comprehensively considers the likelihood, consequences and correlation to assess node risk. Based on this, single-node risk and system risk assessment methods of building construction systems were proposed. It provided a promising method and idea for the risk accumulation assessment method of building construction. Moreover, evolution process of node risk is explained from the perspective of risk accumulation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
自然香芦发布了新的文献求助20
5秒前
超越梦想发布了新的文献求助10
5秒前
科研通AI6.3应助高骏伟采纳,获得10
5秒前
naturehome发布了新的文献求助10
6秒前
Zenith完成签到,获得积分10
6秒前
无私尔风完成签到,获得积分10
6秒前
berkelerey12138完成签到,获得积分10
7秒前
彭于晏应助站岗小狗采纳,获得10
8秒前
666应助米豆采纳,获得18
8秒前
Kaka完成签到,获得积分10
8秒前
9秒前
9秒前
科研通AI6.3应助momo采纳,获得10
10秒前
大好河山发布了新的文献求助10
10秒前
工具小二发布了新的文献求助10
11秒前
铁浮屠发布了新的文献求助10
13秒前
15秒前
打打应助shidewu采纳,获得10
16秒前
华仔应助桉栉采纳,获得10
17秒前
18秒前
lyj完成签到 ,获得积分10
19秒前
甜漾完成签到,获得积分10
20秒前
斯立普完成签到 ,获得积分10
20秒前
20秒前
高骏伟完成签到,获得积分20
20秒前
llt发布了新的文献求助10
20秒前
22336应助直率雪曼采纳,获得20
21秒前
自信的雪糕完成签到,获得积分20
21秒前
21秒前
晚风完成签到 ,获得积分10
21秒前
工具小二完成签到,获得积分10
22秒前
23秒前
ResKeZhang完成签到,获得积分10
24秒前
iss完成签到,获得积分10
24秒前
高骏伟发布了新的文献求助10
24秒前
111111111113完成签到,获得积分20
25秒前
25秒前
蓝天应助科研通管家采纳,获得10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7389286
求助须知:如何正确求助?哪些是违规求助? 8995716
关于积分的说明 19143809
捐赠科研通 7026211
什么是DOI,文献DOI怎么找? 3228636
关于科研通互助平台的介绍 2390917
邀请新用户注册赠送积分活动 2209944