Abstract
Institutions of higher education across the globe have commenced the appraisal of their sustainability performance via the utilization of various existing campus sustainability assessment tools. A comprehensive review of these existing tools reveals insufficient utilization of weighting methods and theoretical approaches that allow for the monitoring, review, and enhancement of the appraisal process and tools. Social media and spatial-based indicators usage are also deficient in the existing tools. This paper addresses these research gaps and develops a Modifiable Campus-wide Appraisal Model (MOCAM) for a comprehensive spatial-based information and assessment framework for policymakers, local authorities, and campus planners in countries with unknown campus sustainability status. In this model, the specific, measurable, achievable, relevant, and time-bound (SMART) approach was utilized to identify environmental-dimension indicators with campus-wide and spatial-based attributes. The Twitter social media platform, Elastic stack, and Python Library were used for the extraction and analysis of local stakeholders’ user-generated content for the identification of localized indicators. The analytic hierarchy process was used for the determination and analysis of the attribute level of importance and weights. The model also broadens the application of symbolic interactionism by translating it from the predominant field of social science to sustainable campus appraisal.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Cited by
6 articles.
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