Novel Use of Social Media Big Data and Artificial Intelligence for Community Resilience Assessment (CRA) in University Towns

University towns face many challenges in the 21st century due to urbanization, increased student population, and higher educational institutions’ inability to house all their students on-campus. For university towns to be resilient and sustainable, the challenges facing them must be assessed and add...

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Bibliographic Details
Published in:Sustainability 2023-01, Vol.15 (2), p.1295
Main Authors: Abdul-Rahman, Mohammed, Adegoriola, Mayowa I., McWilson, Wilson Kodwo, Soyinka, Oluwole, Adenle, Yusuf A.
Format: Article
Language:English
Subjects:
21st century
Artificial intelligence
Assessments
Big Data
Built environment
Case studies
Climate change
College campuses
Colleges & universities
Digital media
Higher education
Higher education institutions
Housing
Land settlement
Learning
Longitudinal studies
Natural language processing
Resilience
Social networks
Students
Sustainability
Towns
Urban areas
Urbanization
User generated content
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Summary:University towns face many challenges in the 21st century due to urbanization, increased student population, and higher educational institutions’ inability to house all their students on-campus. For university towns to be resilient and sustainable, the challenges facing them must be assessed and addressed. To carry out community resilience assessments, this study adopted a novel methodological framework to harness the power of artificial intelligence and social media big data (user-generated content on Twitter) to carry out remote studies in six university towns on six continents using Text Mining, Machine Learning, and Natural Language Processing. Cultural, social, physical, economic, and institutional and governance community challenges were identified and analyzed from the historical big data and validated using an online expert survey. This study gives a global overview of the challenges university towns experience due to studentification and shows that artificial intelligence can provide an easy, cheap, and more accurate way of conducting community resilience assessments in urban communities. The study also contributes to knowledge of research in the new normal by proving that longitudinal studies can be completed remotely.
ISSN:2071-1050
2071-1050
DOI:10.3390/su15021295