Volume 10, Issue 4 (11-2020)
J Health Saf Work 2020, 10(4): 349-375 |
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1- Safety industrial engineering Department, Industrial and Mechanical Engineering Faculty, Islamic Azad University, Qazvin Branch, Qazvin, Iran. , omidvari88@yahoo.com
2- Economic of environmental, Islamic Azad University, Science and Research Branch,Tehran, Iran.
3- Health Researcher, Faculty of Medicin, Shahid Beheshti Medical Science University, Tehran, Iran.
2- Economic of environmental, Islamic Azad University, Science and Research Branch,Tehran, Iran.
3- Health Researcher, Faculty of Medicin, Shahid Beheshti Medical Science University, Tehran, Iran.
Abstract: (2172 Views)
Introduction: The main purpose of this study was to identify and evaluate environmental problems and their ranking and to determine the conceptual model of environmental impact assessment (EIA) in industrial parks. Accordingly.
Material and Methods: In this study, environmental infrastructure issues were classified into five sections. The decision-making trial and evaluation laboratory (DEMATEL) technique was also employed to establish the relationships between the criteria. Moreover, the analytic network process (ANP) was utilized to determine their weight.
Results: Examining the internal relationships between the variables correspondingly revealed that cultural and economic criteria were the most influential. On the other hand, the biological criterion was very effective. The ANP results also showed that the “low share of environmental investment” as an indicator was an economic criterion with a normal weight of 0.80, which was of utmost importance among the other defined cases.
Conclusion: It was concluded that the definition of conceptual models in EIA processes can make it possible to examine and analyze the criteria and indicators affecting evaluation processes.
Material and Methods: In this study, environmental infrastructure issues were classified into five sections. The decision-making trial and evaluation laboratory (DEMATEL) technique was also employed to establish the relationships between the criteria. Moreover, the analytic network process (ANP) was utilized to determine their weight.
Results: Examining the internal relationships between the variables correspondingly revealed that cultural and economic criteria were the most influential. On the other hand, the biological criterion was very effective. The ANP results also showed that the “low share of environmental investment” as an indicator was an economic criterion with a normal weight of 0.80, which was of utmost importance among the other defined cases.
Conclusion: It was concluded that the definition of conceptual models in EIA processes can make it possible to examine and analyze the criteria and indicators affecting evaluation processes.
Type of Study: Research |
Received: 2020/12/2 | Accepted: 2020/11/30 | Published: 2020/11/30
Received: 2020/12/2 | Accepted: 2020/11/30 | Published: 2020/11/30
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