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Prioritising sustainability factors for Australian community buildings’ management using Analytical Hierarchy Process (AHP)

    Pushpitha Kalutara Affiliation
    ; Guomin Zhang Affiliation
    ; Sujeeva Setunge Affiliation
    ; Ron Wakefield Affiliation

Abstract

The essence of Australian community buildings’ sustainable management drives through a previously established decision-making structure with four sustainability aspects and accompanying 18 criteria. Informed decisions are supported with a decision-making model that generates sustainability impacts of building components based on this decision-making structure. Building components’ individual impacts can be assigned using a numbering scale incorporated with linguistic terms. However, similar importance given to each aspect or criterion is arguable when the combined effect is considered. Hence, they should be given different weightings and their combination with individual impacts will produce final sustainability impacts. For calculating weightings, the study uses Analytical Hierarchy Process (AHP), widely used technique in Multi Attribute Decision-Making (MADM). The study also conducted an industry-wide questionnaire across Australian local councils because pair-wise comparison data is essential for weighting calculation. This paper presents the survey data and analysis results that captured weightings of sustainability aspects and criteria.

Keyword : sustainable management, sustainability impacts, decision-making structure, decision-making model, AHP, MADM

How to Cite
Kalutara, P., Zhang, G., Setunge, S., & Wakefield, R. (2018). Prioritising sustainability factors for Australian community buildings’ management using Analytical Hierarchy Process (AHP). International Journal of Strategic Property Management, 22(1), 37-50. https://doi.org/10.3846/ijspm.2018.318
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Mar 20, 2018
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Al Khalil, M. I. (2002). Selecting the appropriate project delivery method using AHP. International Journal of Project Management, 20(6), 469-474. https://doi.org/10.1016/s0263–7863(01)00032–1

Baker, D., Bridges, D., Hunter, R., Johnson, G., Krupa, J., Murphy, J., & Sorenson, K. (2002). Guidebook to decision-making methods. Department of Energy, USA.

Benoît, C., Norris, G. A., Valdivia, S., Ciroth, A., Moberg, A., Bos, U., Prakash, S., Ugaya, C., & Beck, T. (2010). The guidelines for social life cycle assessment of products: just in time!. International Journal of Life Cycle Assessment, 15(2), 156-163. https://doi.org/10.1007/s11367–009–0147–8

Boonstra, C., & Pettersen, T. D. (2003). Tools for environmental assessment of existing buildings. Industry and Environment, 26(2-3), 80-83.

Brundtland, G. H. (1987). Our common future: the world commission on environment and development. Oxford: Oxford University Press.

Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233-247. https://doi.org/10.1016/0165–0114(85)90090–9

Campbell, D. T. (1955). The informant in quantitative research. American Journal of Sociology, 60(4), 339-342. https://doi.org/10.1086/221565

Chen, S.-J. J., Hwang, C.-L., Beckmann, M. J., & Krelle, W. (1992). Fuzzy multiple attribute decision making: methods and applications. New York: Springer-Verlag, Inc. https://doi.org/10.1007/978–3-642–46768–4

Cuadrado, J., Zubizarreta, M., Rojí, E., García, H., & Larrauri, M. (2015). Sustainability-related decision making in industrial buildings: an AHP analysis. Mathematical Problems in Engineering 2015. https://doi.org/10.1155/2015/157129

Cuadrado, J., Zubizarreta, M., Rojí, E., Larrauri, M., & Álvarez, I. (2016). Sustainability assessment methodology for industrial buildings: three case studies. Civil Engineering and Environmental Systems, 33(2), 106-124. https://doi.org/10.1080/10286608.2016.1148143

Dubois, D., & Prade, H. (1980). Fuzzy sets and systems: theory and applications. New York: Academic Press.Edirisinghe, R., Setunge, S., Zhang, G., & Wakefield, R. (2012). Council building management practices, case studies and road ahead. In J. Mathew, L. Ma, A. Tan, M. Weijnen, & J. Lee (Eds.), Engineering Asset Management and Infrastructure Sustainability (pp. 165-179). London: Springer. https://doi.org/10.1007/978–0-85729–493–7_15

Elmualim, A., Shockley, D., Valle, R., Ludlow, G., & Shah, S. (2010). Barriers and commitment of facilities management profession to the sustainability agenda. Building and Environment, 45(1), 58-64. https://doi.org/10.1016/j.buildenv.2009.05.002

Fellows, R. F., & Liu, A. M. M. (2008). Research methods for construction. Wiley.

Fülöp, J. (2005). Introduction to decision making methods. Laboratory of Operations Research and Decision Systems, Computer and Automation Institute, Hungarian Academy of Sciences.

Galamba, K. R., Galamba, K. R., Nielsen, S. B., & Nielsen, S. B. (2016). Towards sustainable public FM: collective building of capabilities. Facilities, 34(3/4), 177-195. https://doi.org/10.1108/F-05–2013–0039

GHD. (2015). Infrastructure maintenance – a report for Infrastructure Australia. GHD. Retrieved from http://infrastructureaustralia.gov.au/policy-publications/publications/files/GHD-Infrastructure-Maintenance.pdf

Häkkinen, T., Vesikari, E., & Pulakka, S. (2007). Sustainable management of buildings, in Portugal SB07 Sustainable Construction, Materials and Practices: Challenge of the Industry for the New Millennium (p. 233).

Harris, R. (2012). Introduction to decision making. Retrieved from http://www.virtualsalt.com/crebook5.htm

Hwang, C. L., Lai, Y. J., & Liu, T. Y. (1993). A new approach for multiple objective decision making. Computers and Operations Research, 20(8), 889-899. https://doi.org/10.1016/0305–0548(93)90109-V

Junghans, A. (2013). Decision support model for energy-efficient improvement of entire building stocks, Facilities, 31(3/4), 173-184. https://doi.org/10.1108/02632771311299449

Kahraman, C., Cebeci, U., & Ruan, D. (2004). Multi-attribute comparison of catering service companies using fuzzy AHP: the case of Turkey. International Journal of Production Economics, 87(2), 171-184. https://doi.org/10.1016/S0925–5273(03)00099–9

Kahraman, C., Ruan, D., & Doğan, I. (2003). Fuzzy group decision-making for facility location selection. Information Sci-ences, 157(1-4), 135-153. https://doi.org/10.1016/S0020–0255(03)00183-X

Kalutara, P., Zhang, G., Setunge, S., & Wakefield, R. (2017). Factors that influence Australian community buildings’ sustainable management. Engineering, Construction and Architectural Management, 24(1), 94-117. https://doi.org/10.1108/ECAM-10-2015-0158

Keeney, R. L., & Raïffa, H. (1976). Decisions with multiple objectives: preferences and value tradeoffs. John Wiley&Sons, Inc.Knodel, J., Saengtienchai, C., Im-Em, W., & Vanlandingham, M. (2001). The impact of AIDS on parents and families in Thailand a key informant approach. Research on Aging, 23(6), 633-670. https://doi.org/10.1177/0164027501236002

McShane, I. (2006). Social value and the management of community infrastructure. Australian Journal of Public Administration, 65(4), 82-96. https://doi.org/10.1111/j.1467–8500.2006.00506a.x

Morrissey, J. P., Ridgely, M. S., Goldman, H. H., & Bartko, W. T. (1994). Assessments of community mental health support systems: a key informant approach. Community Mental Health Journal, 30(6), 565-579. https://doi.org/10.1007/BF02188593

Nielsen, S. B., Møller, J. S., Jäschke, S., & Alexander, K. (2012). Realizing sustainability in facilities management: a pilot study at the Technical University of Denmark. Paper presented at the 11th EuroFM Research Symposium (EFMC 2012).

Pedrycz, W., & Gomide, F. (2007). Fuzzy systems engineering: toward human-centric computing. Wiley-IEEE Press. https://doi.org/10.1002/9780470168967

Saaty, T. L. (1980). The analytic hierarchy process. New York: McGrow-Hill.

Saaty, T. L. (1990). Decision making for leaders: the analytic hierarchy process for decisions in a complex world. Vol. 2. RWS publications.

Sinou, M., & Kyvelou, S. (2006). Present and future of building performance assessment tools. Management of Environmental Quality, 17(5), 570-586. https://doi.org/10.1108/14777830610684530

Tzeng, G. H., & Huang, J. J. (2011). Multiple attribute decision making: methods and applications. CRC Press.

Wei, C.-C., Chien, C.-F., & Wang, M.-J. J. (2005). An AHP-based approach to ERP system selection. International Journal of Production Economics, 96(1), 47-62. https://doi.org/10.1016/j.ijpe.2004.03.004

Yadrick, K., Horton, J., Stuff, J., McGee, B., Bogle, M., Davis, L., Forrester, I., Strickland, E., Casey, P. H., Ryan, D., Champagne, C., Mellad, K., Neal, E., & Zaghloul, S. (2001). Perceptions of community nutrition and health needs in the Lower Mississippi Delta: a key informant approach. Journal of Nutrition Education, 33(5), 266-277. https://doi.org/10.1016/S1499–4046(06)60291–1

Yoon, K. P., & Hwang, C.-L. (1995). Multiple attribute decision making: an introduction. Sage Publications, Inc. https://doi.org/10.4135/9781412985161

Zahedi, F. (1986). The analytic hierarchy process – a survey of the method and its applications. Interfaces, 16(4), 96-108. https://doi.org/10.1287/inte.16.4.96

Zhang, G., & Zou, P. X. W. (2007). Fuzzy analytical hierarchy process risk assessment approach for joint venture construction projects in China. Journal of Construction Engineering and Management, 133(10), 771-779. https://doi.org/10.1061/(ASCE)0733–9364(2007)133:10(771)