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Predicting sustainability assessment at early facilities design phase

Predicting sustainability assessment at early facilities design phase PurposeIntegrating the aspects of sustainability into facilities design has become a designers’ challenge, and the early design phase is seen as the most important in implementing sustainability into facilities design. Therefore, this paper aims to analyze the factors that influence sustainability assessment of preliminary design of facilities and predicts sustainability assessment depending on those factors.Design/methodology/approachData were collected by survey questionnaire distributed to project managers using a six-point Likert scale. Obtained data were modeled with general regression neural network (GRNN) using DTREG software. In total, 27 factors were chosen for determining the most accurate predictive model, and their importance was computed.FindingsThe six most important factors for sustainability assessment of facilities design are: work experience, work on several outline design proposals, resolving issues between stakeholders, prioritization of participants in the design phase, procurement management and defining projects’ program and goals. The predictive model that was used for prediction of the sustainability assessment was shown to be highly accurate, with MAPE (mean absolute percentage error) amounting to 2.58 per cent.Practical implicationsUsing the same approach, assessment of every other factor for the preliminary design can be predicted and the factors that are most influential to its sustainability can be obtained.Originality/valueThe paper supports the sustainability improvement of the preliminary design of future facilities’ projects, as well as support during the decision-making process. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Facilities Emerald Publishing

Predicting sustainability assessment at early facilities design phase

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0263-2772
DOI
10.1108/F-03-2016-0033
Publisher site
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Abstract

PurposeIntegrating the aspects of sustainability into facilities design has become a designers’ challenge, and the early design phase is seen as the most important in implementing sustainability into facilities design. Therefore, this paper aims to analyze the factors that influence sustainability assessment of preliminary design of facilities and predicts sustainability assessment depending on those factors.Design/methodology/approachData were collected by survey questionnaire distributed to project managers using a six-point Likert scale. Obtained data were modeled with general regression neural network (GRNN) using DTREG software. In total, 27 factors were chosen for determining the most accurate predictive model, and their importance was computed.FindingsThe six most important factors for sustainability assessment of facilities design are: work experience, work on several outline design proposals, resolving issues between stakeholders, prioritization of participants in the design phase, procurement management and defining projects’ program and goals. The predictive model that was used for prediction of the sustainability assessment was shown to be highly accurate, with MAPE (mean absolute percentage error) amounting to 2.58 per cent.Practical implicationsUsing the same approach, assessment of every other factor for the preliminary design can be predicted and the factors that are most influential to its sustainability can be obtained.Originality/valueThe paper supports the sustainability improvement of the preliminary design of future facilities’ projects, as well as support during the decision-making process.

Journal

Facilities – Emerald Publishing

Published: May 3, 2017

References

  • The impact of design decisions on post occupancy processes in school buildings
  • Sustainability factors affecting local infrastructure project: the case of water resource, water supply, and local market projects in Thai communities
  • Selection of key sustainable indicators to steel buildings in early design phases