Data-driven safety enhancing strategies for risk networks in construction engineering

Abstract Risk management is crucial and indispensable to the success of projects, while identifying critical risks is the fundamental step in devising the corresponding safety measures. To fully exploit the value of richly accumulated accidental cases, this paper presents a data-driven research framework for proposing effective safety enhancing strategies based on risk networks in construction engineering, spanning the whole process from extracting accident chains from accidents to construct a risk network to devising safety measures. Aiming at the weighted heterogeneity of the risk network, both the performance metrics at network level and critical-risk identification metrics at node level are deliberately designed. These metrics then enable the proposing of a series of safety-enhancing strategies. In the case study, based on the accident-related data in China’s bridge-and-tunnel hybrid projects, different safety-enhancing strategies are compared through simulation experiments and analyzed to verify their effectiveness on optimizing costs and improving safety. Finally, based on results from simulations, relevant managerial suggestions are proposed.

[1]  Hongtao Zhou,et al.  Smart construction site in mega construction projects: A case study on island tunneling project of Hong Kong-Zhuhai-Macao Bridge , 2018 .

[2]  Suprakash Gupta,et al.  Categorization and standardization of accidental risk-criticality levels of human error to develop risk and safety management policy , 2016 .

[3]  Søren Spangenberg,et al.  Mortality and morbidity among bridge and tunnel construction workers who worked long hours and long days constructing the Great Belt Fixed Link. , 2005, Scandinavian journal of work, environment & health.

[4]  Eugenio Cavallo,et al.  Part-time farmers and accidents with agricultural machinery: a moderated mediated model on the role played by frequency of use and unsafe beliefs , 2017, Journal of occupational health.

[5]  Javier Irizarry,et al.  Using Network Theory to Explore the Complexity of Subway Construction Accident Network (SCAN) for Promoting Safety Management , 2014 .

[6]  Ying Zhou,et al.  Using Bayesian network for safety risk analysis of diaphragm wall deflection based on field data , 2018, Reliab. Eng. Syst. Saf..

[7]  X. Dong,et al.  Occupational fatalities of Hispanic construction workers from 1992 to 2000. , 2004, American journal of industrial medicine.

[8]  Rafael Sacks,et al.  Construction Job Safety Analysis , 2010 .

[9]  Jian-Lan Zhou,et al.  Safety assessment in oil drilling work system based on empirical study and Analytic Network Process , 2018, Safety Science.

[10]  Thanet Aksorn,et al.  Critical success factors influencing safety program performance in Thai construction projects , 2008 .

[11]  A R Duff,et al.  Contributing factors in construction accidents. , 2005, Applied ergonomics.

[12]  Eugenio Cavallo,et al.  Falls From Agricultural Machinery: Risk Factors Related to Work Experience, Worked Hours, and Operators’ Behavior , 2018, Hum. Factors.

[13]  Jingfeng Yuan,et al.  Social network analysis for social risks of construction projects in high-density urban areas in China , 2018, Journal of Cleaner Production.

[14]  Shanshan Wang,et al.  A network accident causation model for monitoring railway safety , 2018, Safety Science.

[15]  Vineet R. Kamat,et al.  Enhancing Perceived Safety in Human–Robot Collaborative Construction Using Immersive Virtual Environments , 2018, Automation in Construction.

[16]  Albert P.C. Chan,et al.  Review of the application of social network analysis (SNA) in construction project management research , 2016 .

[17]  Bahaa Eddine Mneymneh,et al.  Assessing on-site construction personnel hazard perception in a Middle Eastern developing country: An interactive graphical approach , 2018 .

[18]  Sathyanarayanan Rajendran,et al.  Design’s role in construction accident causality and prevention: Perspectives from an expert panel , 2008 .

[19]  Sven Ove Hansson,et al.  Learning from accidents : what more do we need to know? , 2010 .

[20]  I. Kelman.  Connecting theories of cascading disasters and disaster diplomacy , 2018, International Journal of Disaster Risk Reduction.

[21]  Raja R. A. Issa,et al.  Safety implementation framework for Pakistani construction industry , 2016 .

[22]  Miroslaw J. Skibniewski,et al.  Characterizing time series of near-miss accidents in metro construction via complex network theory , 2017 .

[23]  Zhipeng Zhou,et al.  Overview and analysis of safety management studies in the construction industry , 2015 .

[24]  Martin Skitmore,et al.  Intrusion warning and assessment method for site safety enhancement , 2016 .

[25]  Jinsong Zhao,et al.  Process safety management considerations for biofuel production , 2017 .

[26]  J. Reason.  Understanding adverse events: human factors. , 1995, Quality in health care : QHC.

[27]  Arjun H. Rao,et al.  High risk occurrence chains in helicopter accidents , 2018, Reliab. Eng. Syst. Saf..

[28]  Miroslaw J. Skibniewski,et al.  Bayesian-network-based safety risk analysis in construction projects , 2014, Reliab. Eng. Syst. Saf..

[29]  G. Shirali,et al.  Investigating the effectiveness of safety costs on productivity and quality enhancement by means of a quantitative approach , 2018 .

[30]  P. K. Marhavilas,et al.  Risk analysis and assessment in the worksites using the fuzzy-analytical hierarchy process and a quantitative technique – A case study for the Greek construction sector , 2019, Safety Science.

[31]  Guohua Chen,et al.  The probability prediction method of domino effect triggered by lightning in chemical tank farm , 2018 .

[32]  Gregory A. Howell,et al.  Systems Model of Construction Accident Causation , 2005 .

[33]  Miroslaw J. Skibniewski,et al.  Data based complex network modeling and analysis of shield tunneling performance in metro construction , 2018, Adv. Eng. Informatics.

[34]  Farook Hamzeh,et al.  Exploring associations between resilience and construction safety performance in safety networks , 2016 .

[35]  Liu Hong,et al.  STAMP-based analysis on the railway accident and accident spreading: Taking the China-Jiaoji railway accident for example , 2010 .

[36]  Chia-Fen Chi,et al.  Accident patterns and prevention measures for fatal occupational falls in the construction industry. , 2005, Applied ergonomics.

[37]  Kathryn Mearns,et al.  Safety climate responses and the perceived risk of accidents in the construction industry. , 2008 .

[38]  Wei Zeng,et al.  Supplier development and its incentives in infrastructure mega-projects: A case study on Hong Kong-Zhuhai-Macao Bridge project , 2018 .

[39]  Ping Liu,et al.  An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network , 2017, Complex..

[40]  Noor Fareen Abdul Rahim,et al.  The role of the safety climate in the successful implementation of safety management systems , 2019, Safety Science.

[41]  S. Travis Waller,et al.  Enhancing the safety of construction crew by accounting for brain resource requirements of activities in job assignment , 2018 .