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Article

A Predictive Environmental Assessment Method for Construction Operations: Application to a Northeast China Case Study

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Department of Construction Management, Harbin Institute of Technology, Harbin 150001, China
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Department of Civil, Environmental, and Natural Resources Engineering, Luleå University of Technology, 97187 Luleå, Sweden
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School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
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Department of Construction Management, Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150090, China
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Author to whom correspondence should be addressed.
Sustainability 2018, 10(11), 3868; https://doi.org/10.3390/su10113868
Received: 12 September 2018 / Revised: 15 October 2018 / Accepted: 19 October 2018 / Published: 24 October 2018
(This article belongs to the Special Issue Sustainable Construction and Building Materials)
Construction accounts for a considerable number of environmental impacts, especially in countries with rapid urbanization. A predictive environmental assessment method enables a comparison of alternatives in construction operations to mitigate these environmental impacts. Process-based life cycle assessment (pLCA), which is the most widely applied environmental assessment method, requires lots of detailed process information to evaluate. However, a construction project usually operates in uncertain and dynamic project environments, and capturing such process information represents a critical challenge for pLCA. Discrete event simulation (DES) provides an opportunity to include uncertainty and capture the dynamic environments of construction operations. This study proposes a predictive assessment method that integrates DES and pLCA (DES-pLCA) to evaluate the environmental impact of on-site construction operations and supply chains. The DES feeds pLCA with process information that considers the uncertain and dynamic environments of construction, while pLCA guides the comprehensive procedure of environmental assessment. A DES-pLCA prototype was developed and implemented in a case study of an 18-storey building in Northeast China. The results showed that the biggest impact variations on the global warming potential (GWP), acidification potential (AP), eutrophication (EP), photochemical ozone creation potential (POCP), abiotic depletion potential (ADP), and human toxicity potential (HTP) were 5.1%, 4.1%, 4.1%, 4.7%, 0.3%, and 5.9%, respectively, due to uncertain and dynamic factors. Based on the proposed method, an average impact reduction can be achieved for these six indictors of 2.5%, 21.7%, 8.2%, 4.8%, 32.5%, and 0.9%, respectively. The method also revealed that the material wastage rate of formwork installation was the most crucial managing factor that influences global warming performance. The method can support contractors in the development and management of environmentally friendly construction operations that consider the effects of uncertainty and dynamics. View Full-Text
Keywords: environmental impacts; construction process simulation; process-based life cycle assessment; construction operations; supply chain environmental impacts; construction process simulation; process-based life cycle assessment; construction operations; supply chain
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MDPI and ACS Style

Feng, K.; Lu, W.; Olofsson, T.; Chen, S.; Yan, H.; Wang, Y. A Predictive Environmental Assessment Method for Construction Operations: Application to a Northeast China Case Study. Sustainability 2018, 10, 3868. https://doi.org/10.3390/su10113868

AMA Style

Feng K, Lu W, Olofsson T, Chen S, Yan H, Wang Y. A Predictive Environmental Assessment Method for Construction Operations: Application to a Northeast China Case Study. Sustainability. 2018; 10(11):3868. https://doi.org/10.3390/su10113868

Chicago/Turabian Style

Feng, Kailun, Weizhuo Lu, Thomas Olofsson, Shiwei Chen, Hui Yan, and Yaowu Wang. 2018. "A Predictive Environmental Assessment Method for Construction Operations: Application to a Northeast China Case Study" Sustainability 10, no. 11: 3868. https://doi.org/10.3390/su10113868

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