Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/7429
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dc.contributor.authorKhoderchah, Elieen_US
dc.contributor.authorSemaan, Nabilen_US
dc.date.accessioned2024-06-27T06:37:44Z-
dc.date.available2024-06-27T06:37:44Z-
dc.date.issued2024-01-01-
dc.identifier.issn25094238-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/7429-
dc.description.abstractPlanning for sustainable strategies and implementing sustainable practices in a university campus requires the assessment of a green level. Following a comprehensive research, it is observed that existing models are complex, are mathematically ambiguous, use an extreme amount of criteria and are applied in developed countries solely. The purpose of this paper is to propose a generic model that diagnoses the level of sustainable practices of green university campuses. The developed model, entitled the “Green University Campus Diagnosis” (GUCD) model, provides a green level of a university campus. Green indicators for university campus are defined, and criteria weights are evaluated using Shannon’s entropy method. Then, a modified version of Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) ranks a green university campus between a “very bad” and an “excellent” green university campus. Data are collected from universities’ managers, directors and engineers in the Middle East and North Africa (MENA) region. The model is applied to four Lebanese universities. Results show that university campuses have a green level between 56.55 and 74.8%. The GUCD is a generic, simple-to-use model. The GUCD model uses well-defined mathematical Multi-Criteria Decision methodologies and an adequate number of green indicators.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.subjectGreen campusen_US
dc.subjectHigher educationen_US
dc.subjectPROMETHEEen_US
dc.subjectShannon’s entropyen_US
dc.subjectSustainability practicesen_US
dc.titleThe Green University Campus Diagnosis Modelen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1007/s41660-024-00429-z-
dc.identifier.scopus2-s2.0-85194748347-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85194748347-
dc.contributor.affiliationDepartment of Civil and Environmental Engineeringen_US
dc.date.catalogued2024-06-27-
dc.description.statusIn Pressen_US
dc.identifier.openURLhttps://link.springer.com/article/10.1007/s41660-024-00429-zen_US
dc.relation.ispartoftextProcess Integration and Optimization for Sustainabilityen_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Civil and Environmental Engineering
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