[Ding, Rui; Sui, Yang; Wang, Hanqing] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.

[Sui, Yang] Fujian Fuqing Nucl Power Co Ltd, Fuqing 350300, Peoples R China.

[Wang, Hanqing] U

Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.

Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Show abstract This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project 2021;Journal of Cleaner Production Show abstract The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach 2021;Sustainable Cities and Society Show abstract Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway 2020;Journal of Cleaner Production Show abstract The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment 2020;Computational and Applied Mathematics Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—a systemic review 2020;IEEE Access View all citing articles on Scopus Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Show abstract This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project 2021;Journal of Cleaner Production Show abstract The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach 2021;Sustainable Cities and Society Show abstract Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway 2020;Journal of Cleaner Production Show abstract The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment 2020;Computational and Applied Mathematics Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—a systemic review 2020;IEEE Access View all citing articles on Scopus Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Citation Excerpt : Show abstract This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project 2021;Journal of Cleaner Production 2021;Journal of Cleaner Production Show abstract The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach 2021;Sustainable Cities and Society 2021;Sustainable Cities and Society Show abstract Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway 2020;Journal of Cleaner Production 2020;Journal of Cleaner Production Show abstract The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment 2020;Computational and Applied Mathematics 2020;Computational and Applied Mathematics Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—a systemic review 2020;IEEE Access 2020;IEEE Access

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