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Sustainable Infrastructure Project Planning: Progress in Contemporary Decision Support Tools
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Author(s): Omar Mohd Faizal (Queensland University of Technology, Australia), Bambang Trigunarsyah (Queensland University of Technology, Australia)and Johnny Wong (Queensland University of Technology, Australia)
Copyright: 2010
Pages: 16
Source title:
Rethinking Sustainable Development: Urban Management, Engineering, and Design
Source Author(s)/Editor(s): Tan Yigitcanlar (Queensland University of Technology, Australia)
DOI: 10.4018/978-1-61692-022-7.ch018
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Abstract
Most infrastructure project developments are complex in nature, particularly in the planning phase. During this stage, many vague alternatives are tabled - from the strategic to operational level. Human judgement and decision making are characterised by biases, errors and the use of heuristics. These factors are intangible and hard to measure because they are subjective and qualitative in nature. The problem with human judgement becomes more complex when a group of people are involved. The variety of different stakeholders may cause conflict due to differences in personal judgements. Hence, the available alternatives increase the complexities of the decision making process. Therefore, it is desirable to find ways of enhancing the efficiency of decision making to avoid misunderstandings and conflict within organisations. As a result, numerous attempts have been made to solve problems in this area by leveraging technologies such as decision support systems. However, most construction project management decision support systems only concentrate on model development and neglect fundamentals of computing such as requirement engineering, data communication, data management and human centred computing. Thus, decision support systems are complicated and are less efficient in supporting the decision making of project team members. It is desirable for decision support systems to be simpler, to provide a better collaborative platform, to allow for efficient data manipulation, and to adequately reflect user needs. In this chapter, a framework for a more desirable decision support system environment is presented. Some key issues related to decision support system implementation are also described.
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