Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong; Southern African Built Environment Research Center (SABERC), Faculty of Engineering, Cape Peninsula University of Technology (CPUT) Bellville, South Africa
Ugwu, O.O., Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, Hong Kong; Haupt, T.C., Southern African Built Environment Research Center (SABERC), Faculty of Engineering, Cape Peninsula University of Technology (CPUT) Bellville, South Africa
This paper identifies key performance indicators (KPI) for infrastructure delivery and maps computational methods required to achieve sustainability objectives in developing countries. It builds on previous research that developed taxonomy of infrastructure sustainability indicators and computational methods, to propose an analytical decision model and a structured methodology for sustainability appraisal in infrastructure projects in a developing country like South Africa. The paper uses the 'weighted sum model' technique in multi-criteria decision analysis (MCDA) and the 'additive utility model' in analytical hierarchical process (AHP) for multi-criteria decision-making, to develop the model for computing the sustainability index-a crisp value for evaluating infrastructure design proposals. It discusses the development of the KPIs that are encapsulated within the analytical model. It concludes by discussing other potential applications of the proposed model and methodology for process automation as part of integrated sustainability appraisal in infrastructure design and construction in developing countries. © 2005 Elsevier Ltd. All rights reserved.
Computational methods; Construction industry; Developing countries; Mathematical models; Sustainable development; Infrastructure sustainability; Key performance indicators (KPI); Multi-criteria decision analysis (MCDA); Sustainability index; Sustainability science; Structural design; Computational methods; Construction industry; Developing countries; Mathematical models; Structural design; Sustainable development; architectural design; construction industry; decision analysis; developing world; infrastructure; infrastructure planning; modeling; performance assessment; sustainability; Africa; South Africa; Southern Africa; Sub-Saharan Africa