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Bakens, W, Foliente, G and Jasuja, M (2005) Engaging stakeholders in performance-based building: lessons from the Performance-Based Building (PeBBu) Network. Building Research & Information, 33(01), 149–58.

Chappells, H and Shove, E (2005) Debating the future of comfort: environmental sustainability, energy consumption and the indoor environment. Building Research & Information, 33(01), 32–40.

Curwell, S, Deakin, M, Cooper, I, Paskaleva-Shapira, K, Ravetz, J and Babicki, D (2005) Citizens' expectations of information cities: implications for urban planning and design. Building Research & Information, 33(01), 55–66.

Ding, G K C (2005) Developing a multicriteria approach for the measurement of sustainable performance. Building Research & Information, 33(01), 3–16.

  • Type: Journal Article
  • Keywords: cost-benefit analysis (CBA); decision support system; environmental assessment; project appraisal; project assessment; sustainability index; sustainable development
  • ISBN/ISSN: 0961-3218
  • URL: http://taylorandfrancis.metapress.com/link.asp?id=uy3ctr8acw0cjdc8
  • Abstract:
    In Australia, cost-benefit analysis (CBA) is one of the conventional tools used widely by the public and the private sectors in the appraisal of projects. It measures and compares the total costs and benefits of projects that are competing for scarce resources in monetary terms. Growing concerns that the values of environmental goods and services are often ignored or underestimated in the CBA approach have led to the overuse and depletion of environmental assets. A model of a sustainability index as an evaluation tool that combines economic, social and environmental criteria into an indexing algorithm is presented and described. The sustainability index uses monetary and non-monetary approaches to rank projects and facilities on their contribution to sustainability. This process enables the principle of trade-off to occur in the decision-making process and thereby allows environmental values to be considered when selecting a development option. This makes it possible to optimize financial return, maximize resource consumption and minimize detrimental effects to the natural and man-made world. A case study is used to demonstrate the model.

Korpela, J, Miettinen, R, Salmikivi, T and Ihalainen, J (2015) The challenges and potentials of utilizing building information modelling in facility management: the case of the Center for Properties and Facilities of the University of Helsinki. Construction Management and Economics, 33(01), 3-17.

Lingard, H and Turner, M (2015) Improving the health of male, blue collar construction workers: a social ecological perspective. Construction Management and Economics, 33(01), 18-34.

Lingard, H, Peihua Zhang, R, Blismas, N, Wakefield, R and Kleiner, B (2015) Are we on the same page? Exploring construction professionals’ mental models of occupational health and safety. Construction Management and Economics, 33(01), 73-84.

Liso, K R, Kvande, T and Thue, J V (2005) High-performance weather-protective flashings. Building Research & Information, 33(01), 41–54.

Macintosh, A and Steemers, K (2005) Ventilation strategies for urban housing: lessons from a PoE case study. Building Research & Information, 33(01), 17–31.

Ozorhon, B, Dikmen, I and Birgonul, M T (2005) Organizational memory formation and its use in construction. Building Research & Information, 33(01), 67–79.

Sacks, R, Whyte, J, Swissa, D, Raviv, G, Zhou, W and Shapira, A (2015) Safety by design: dialogues between designers and builders using virtual reality. Construction Management and Economics, 33(01), 55-72.

Su, Y and Lucko, G (2015) Synthetic cash flow model with singularity functions for unbalanced bidding scenarios. Construction Management and Economics, 33(01), 35-54.