Multicriteria decision support in a technology competition for cleaning polluted soil in Helsinki

✍ Scribed by J Hokkanen; R Lahdelma; P Salminen

• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 137 KB
• Volume: 60
• Category: Article
• ISSN: 0301-4797
• DOI: 10.1006/jema.2000.0389

✦ Synopsis

Due to expansion of the capital area in Finland, industrial areas are being replanned for residential and commercial use. The soil in these areas is sometimes contaminated, and must therefore be cleaned before building. In spring 1997 the City of Helsinki and the National Technology Agency of Finland declared a contract-based competition for cleaning the polluted soil of the planned Toukolanranta residential area. Nine proposals entered the competition, and the problem was to choose three best candidates for test-cleaning a small part of the region considered. The winner of the test-cleaning phase will get the contract for cleaning the whole area. The proposals were evaluated based on five criteria defined by the competition board consisting of eight experts. The finalists were chosen aided by the SMAA-2 Stochastic Multicriteria Acceptability Analysis technique. SMAA-2 is a method for analysing what kind of preferences favour each alternative. This method is particularly useful in applications, where it is difficult or impossible to obtain accurate preference information. In this application SMAA-2 was observed to suit well for choosing a small set of best alternatives with different strengths and weaknesses.