A Life Cycle Assessment Based Decision Support Model For Architecture engineering construction AEC Projects

Date

2016-10-31

Author

Kayaçetin, Nuri Cihan
Tanyer, Ali Murat

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Environmental evaluation of built-environment has rapidly improved in our decade. As the ArchitectureEngineering-Construction (AEC) industry is proved to have the highest share in resource demand, environmental impact of construction activities draws attention of many parties. Starting from high-performance buildings to green certificated examples, optimizing both the performance and profitability of AEC products have been the main goal of researchers and practitioners. Life-cycle assessment (LCA) is considered as the most scientific and comprehensive method developed for this purpose. In developing countries such as Turkey, the main driving force of economy is AEC industry. Hence, rapid urban expansion dramatically increases the pressure on the existing infrastructure which affects buildings, public transportation, road networks, water quality, waste collection, public health, and overall energy usage. Higher rates in construction require an immediate need for methods of analyzing and controlling the environmental impacts of built environment. The study aims to develop an LCA model for buildings in Turkey. For LCA studies, national databases are of crucial importance. This model is aimed to provide planners with design solutions depending on the localized life cycle data.

Subject Keywords

Life cycle assessment, Construction projects, Decision support system

URI

https://hdl.handle.net/11511/72115
http://www.sbeistanbul.com/assets/SBE16_Papers_ing-24-10-2016.pdf

Conference Name

SBE - Smart Metropoles - Integrated solutions for Sustainable and Smart Buildings Cities (13 - 15 Ekim 2016)

Collections

Department of Architecture, Conference / Seminar

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Citation Formats

N. C. Kayaçetin and A. M. Tanyer, “A Life Cycle Assessment Based Decision Support Model For Architecture engineering construction AEC Projects,” İstanbul, Türkiye, 2016, p. 667, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/72115.