A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring

Industry 4.0 has revolutionized modern urbanization and smart cities. However, the relationship between Industry 4.0 technology advances such as Artificial Intelligence (AI) and their impact on the earth, environment, people, and biological ecosystems needs further consideration, particularly during pandemics like COVID-19. This paper proposes a cyber-physical Industry 5.0 framework that is compliant with the Sustainable Development Goals (SDGs) defined by the United Nations (UN) in general and SDG 11 (Sustainable Cities and Communities) in particular. The framework targets three main pillars of SDGs from a technical perspective: global society, economy, and environment. It breaks down the cyber-physical system (CPS) into smaller components, linking them to each of the 17 SDGs and grouping them into broader categories. These components use four leading technologies: blockchain for secure data handling, B5G network function virtualizations, edge-cloud computing for scalable and flexible data processing and AI to deliver insights into the model’s data. This paper addresses the challenge of monitoring the indicators of 17 SDGs by utilizing Industry 5.0 advancements. It offers practical validation of the framework through use cases in energy and water management. Results demonstrate how the framework can enhance SDG monitoring’s precision, transparency, and scalability while providing stakeholders with helpful information.

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Publication Details

Journal
Research in Globalization
Published
2025-02-18
DOI
https://doi.org/10.1016/j.resglo.2025.100275
Citations
6
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
14.89
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article

A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring

Mansoor A. Abdulgabber, Ali Hassan, Riza bin Sulaiman, Elsadig Musa Ahmed et al.
6 citations
Research in Globalization
Explainable Artificial Intelligence (XAI)
14.89
article

A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring

Mansoor A. Abdulgabber, Ali Hassan, Riza bin Sulaiman, Elsadig Musa Ahmed, Jamal M. Hussien, Hasan Kahtan
article en
6 citations

Abstract

Industry 4.0 has revolutionized modern urbanization and smart cities. However, the relationship between Industry 4.0 technology advances such as Artificial Intelligence (AI) and their impact on the earth, environment, people, and biological ecosystems needs further consideration, particularly during pandemics like COVID-19. This paper proposes a cyber-physical Industry 5.0 framework that is compliant with the Sustainable Development Goals (SDGs) defined by the United Nations (UN) in general and SDG 11 (Sustainable Cities and Communities) in particular. The framework targets three main pillars of SDGs from a technical perspective: global society, economy, and environment. It breaks down the cyber-physical system (CPS) into smaller components, linking them to each of the 17 SDGs and grouping them into broader categories. These components use four leading technologies: blockchain for secure data handling, B5G network function virtualizations, edge-cloud computing for scalable and flexible data processing and AI to deliver insights into the model’s data. This paper addresses the challenge of monitoring the indicators of 17 SDGs by utilizing Industry 5.0 advancements. It offers practical validation of the framework through use cases in energy and water management. Results demonstrate how the framework can enhance SDG monitoring’s precision, transparency, and scalability while providing stakeholders with helpful information.

Research in GlobalizationVol. 10
Multimedia University (MY), Islamic University of Madinah (SA), Cardiff Metropolitan University (GB), University of Oklahoma (US), National University of Malaysia (MY)
Sustainable cities and communities
Openalex Percentile: Top 1%
Explainable Artificial Intelligence (XAI)
14.89
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