Tajaddini, A; Pirooznezhad, L; Ravanshadnia, M and Coley, D (2024) Fuzzy inference decision model to quantify the effectiveness of incentives on delivering green buildings. International Journal of Construction Management, 24(15), pp. 1599-1616. ISSN 1562-3599
Abstract
The switch to sustainable, or green buildings (GBs) is likely to involve a range of governmental policies, with the mix of incentives dependent on the country. The question then becomes one of creating the mix such that it represents the minimum cost/effort whilst maximizing the delivery rate. This research aimed at quantifying the influence of differing GB incentives using a fuzzy inference system. Twenty-six incentives were identified through literature review and expert interviews (n = 36) using a 5-point pairwise questionnaire. These incentives can be naturally bundled into Technical, Financial and Legal groups. Ranking these suggests the Financial, Technical and Legal groups rank first to third, with weights of 0.42, 0.32 and 0.26, respectively. Then, to quantify the potential influence of individual incentives, a fuzzy inference model was created. The model was then employed to predict the influence of each incentive, individually and in combination, i.e. when part of a policy. Using heat maps and sensitivity analysis, it was shown how to increase the impact of a policy for encouraging GBs, by choosing an appropriate percentage contribution for each incentive. The model introduced here is a tool, showing how policy-makers can change/regulate their policies for GB adoption to receive the best results.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | analytical study; decision model; fuzzy inference system; green building; incentives |
| Index terms: | effectiveness, questionnaire, green building, literature review, interview, fuzzy inference, sensitivity analysis, maps |
| Subjects: | decision-making and optimization, environmental hazards, design practice, performance management, spatial and geospatial analysis, data analysis and analytics, data collection methods |
| Topics: | Quality Management, Design Practice, Sustainability, Research Practice |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here