Multicriteria Decision-Making Methodology for Credit Selection in Building Sustainability Rating Systems
Publication: Journal of Architectural Engineering
Volume 23, Issue 2
Abstract
Uncertainty is an inherent characteristic of decision making related to sustainable construction projects. The main reason for this uncertainty is the incomplete information available to stakeholders on the relative impact of their decision criteria and the full consequences of the sustainability decisions on the projects’ financial and environmental performance. One of the critical decisions made to achieve the objectives of sustainable construction projects is the choice of credits that qualify projects for certification by sustainability rating systems like Leadership in Energy and Environmental Design (LEED). The objective of this paper is to create an objective methodology for the sustainability credit selection along with a modeling tool that incorporates the proposed methodology and then compare the performance of this tool with that of the commonly used cognitive approaches to decision making. Therefore, structured interviews were held with industry professionals, the results of which are used to develop an ordered-probit statistical model that identifies the significant independent parameters affecting the subject credit-selection decisions. Subsequently, the proposed credit-selection methodology is developed based on the ELECTRE III technique and compared with the intuition-based approach. The validation of the model results is performed by comparing the model output with credits actually selected in a number of actual projects targeting certification by LEED and the Qatar Sustainability Rating System (QSAS). The results of this comparison indicate that the developed methodology is capable of providing valuable guidance in the credit-selection process in the early stage of project design. The methodology also provides a systematic and consistent way for credit selection based on in-depth analyses of the evaluation criteria and perceived project priorities.
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Acknowledgments
The authors acknowledge the Qatar National Research Foundation (QNRF) (NPRP 09-717-2-274) for providing funds for this research study. All the opinions and views in this study are solely those of the authors and do not reflect the opinions of QNRF.
References
AnyLogic [Computer software]. Production Modeling Corporation, Dearborn, MI.
Belu, C., and Manescu, C. (2013). “Strategic corporate social responsibility and economic performance.” Appl. Econ., 45(19), 2751–2764.
Chechile, R. A., and Carlisle, S. (1991). Environmental decision making: A multidisciplinary perspective, Van Nostrand Reinhold, New York.
Davis Langdon. (2007). “Cost of green revisited: Reexamining the feasibility and cost impact of sustainable design in the light of increased market adoption.” London.
Dixon, J., and Dogan, R. (2003). “Corporate decision making: contending perspectives and their governance implications.” Corporate Governance, 3(1), 39–57.
Eisenhardt, K. M., and Zbaracki, M. J. (1992). “Strategic decision making.” Strategic Manage. J., 13(S2), 17–37.
Elbanna, S., Child, J., and Dayan, M. (2012). “A model of antecedents and consequences of intuition in strategic decision-making: Evidence from Egypt.” Long Range Plann., 46(1), 149–176.
Fowler, K. M., and Rauch, E. M. (2006). “Sustainable building rating systems summary.” No. PNNL-15858, Pacific Northwest National Laboratory, Richland, WA.
GSDP (General Secretariat for Development Planning). (2008). “Qatar National Vision 2030.” Doha, Qatar.
Hall, K. (2007). “Looking beneath the surface: The impact of psychology on corporate decision making.” Managerial Law, 49(3), 93–105.
Hensman, A., and Sadler-Smith, E. (2011). “Intuitive decision-making in banking and finance.” Eur. Manage. J., 29(1), 51–66.
Karagiannidis, A., and Moussiopoulos, N. (1997). “Application of ELECTRE III for the integrated management of municipal solid wastes in the greater Athens area.” Multiple criteria decision making, Springer, Berlin, 568–578.
Kyrkou, D., and Karthaus, R. (2011). “Urban sustainability standards: predetermined checklists or adaptable frameworks?” Procedia Eng., 21, 204–211.
LIMDEP 10 [Computer software]. Econometric Software Inc., Plainview, NY.
Lockwood, C. (2006). “Building the green way.” Harvard Bus. Rev., 84(6), 129–137.
Matos, S., and Hall, J. (2007). “Integrating sustainable development in the supply chain: the case of life cycle assessment in oil and gas and agricultural biotechnology.” J. Oper. Manage., 25(6), 1083–1102.
Miller, C. C., and Ireland, R. D. (2005). “Intuition in strategic decision-making: Friend or foe in the fast-paced 21st century.” Acad. Manage. Exec., 19(1), 19–30.
Pretz, J. E., and Folse, V. N. (2011). “Nursing experience and preference for intuition in decision making.” J. Clin. Nurs., 20(19–20), 2878–2889.
QSTP (Qatar Science and Technology Park). (2012). “Emerging solutions to achieve sustainability in the built environment.” Tech Talk Seminar, Doha, Qatar.
R [Computer software]. The R Foundation for Statistical Computing, Vienna Austria.
Reed, R., Bilos, A., Wilkinson, S., and Schulte, K. W. (2009). “International comparison of sustainable rating tools.” J. Sustainable Real Estate, 1(1), 1–22.
Rogers, M. (2000). “Using ELECTRE III to aid the choice of housing construction process within structural engineering.” Constr. Manage. Econ., 18(3), 333–342.
Rogers, M., and Bruen, M. (1998). “Choosing realistic values of indifference, preference and veto thresholds for use with environmental criteria within ELECTRE.” Eur. J. Oper. Res., 107(3), 542–551.
Said, H., et al. (2013). “Modeling of the sustainability goal and objective setting process in the predesign phase of green institutional building projects.” J. Archit. Eng., 04013007.
Sun, R. (2008). “Introduction to computational cognitive modeling.” Cambridge handbook of computational psychology, Cambridge University Press, New York, 3–19.
Tam, C. M., Tong, T. K., and Lau, C. T. (2003). “ELECTRE III in evaluating performance of construction plants: Case study on concrete vibrators.” Constr. Innovation, 3(1), 45–61.
Turing, A. M. (1950). “Computing machinery and intelligence.” Mind, 59(236), 433–460.
UNEP (United Nations Environmental Program). (2002). “Industry as a partner for sustainable development.” Brussels, Belgium.
Walter, J., Kellermanns, F. W., and Lechner, C. (2012). “Decision making within and between organizations: Rationality, politics, and alliance performance.” J. Manage., 38(5), 1582–1610.
Warnock, A. (2007). “An overview of integrating instruments to achieve sustainable construction and buildings.” Manage. Environ. Qual., 18(4), 427–441.
Washington, S., Karlaftis, M., and Mannering, F. (2011). Statistical and econometric methods for transportation data analysis, 2nd Ed., Chapman & Hall/CRC, Boca Raton, FL.
Wu, Z., and Pagell, M. (2011). “Balancing priorities: Decision-making in sustainable supply chain management.” J. Oper. Manage., 29(6), 577–590.
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Published In
Journal of Architectural Engineering
Volume 23 • Issue 2 • June 2017
Copyright
© 2017 American Society of Civil Engineers.
History
Received: Mar 10, 2015
Accepted: Dec 9, 2016
Published online: Mar 7, 2017
Published in print: Jun 1, 2017
Discussion open until: Aug 7, 2017
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