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Uncertainty-based quantitative assessment of sustainability for higher education institutions

Citation

Waheed, B and Khan, FI and Veitch, B and Hawboldt, K, Uncertainty-based quantitative assessment of sustainability for higher education institutions, Journal of Cleaner Production, 19, (6-7) pp. 720-732. ISSN 0959-6526 (2011) [Refereed Article]

DOI: doi:10.1016/j.jclepro.2010.12.013

Abstract

Evaluation of sustainability in various facets of life is gaining increasing importance. Traditionally, different multi-criteria decision-making methods have been used for sustainability assessment. "Sustainability" can be a qualitative concept, and as such several researchers have attempted fuzzy logic for the quantitative assessment of sustainability. This paper outlines a new evaluation model based on fuzzy multi-criteria decision-making. The model is tested for sustainability assessment of higher education institutions (HEIs). It is based on a driving force-pressure-state-exposure- effect-action (DPSEEA) framework and is called uncertainty-based DPSEEA-Sustainability index Model (uD-SiM). The uD-SiM is a causality-based model in which the sustainability index is an outcome of nonlinear impacts of sustainability indicators in different stages of DPSEEA. The percent contribution of driving forces on the sustainability index of HEI is investigated using sensitivity analysis. The study reveals that education in sustainability and global and local research trends are the major driving forces for achieving sustainability in HEI, followed by financial and economic growth rate, social equity, energy requirements rate, and institutional enhancement, in descending order. The results of uD-SiM were found to be more realistic and rational than our earlier proposed approach, D-SiM. © 2010 Elsevier Ltd. All rights reserved.

Item Details

Item Type:Refereed Article
Keywords:Decision-making; Driving force-pressure-state-effect-exposure- action (DPSEEA); Sustainability; Sustainability index (SI); Uncertainty; Driving forces; Economic growth rate; Energy requirements; Evaluation models; Higher education institutions
Research Division:Engineering
Research Group:Maritime Engineering
Research Field:Ocean Engineering
Objective Division:Mineral Resources (excl. Energy Resources)
Objective Group:Environmentally Sustainable Mineral Resource Activities
Objective Field:Environmentally Sustainable Mineral Resource Activities not elsewhere classified
Author:Khan, FI (Professor Faisal Khan)
ID Code:94467
Year Published:2011
Web of Science® Times Cited:12
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2014-09-09
Last Modified:2014-09-09
Downloads:0

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