September 25, 2025

Predictive Analytics Models for Monitoring Smart City Emissions and Infrastructure Risk in Urban ESG Planning

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Predictive analytics models significantly improve urban emissions monitoring and infrastructure resilience in smart cities.
The integration of ESG principles guides transparent reporting and resource efficiency in urban environments.
Machine learning and digital twins facilitate real-time monitoring of emission trends and structural vulnerabilities.
Implementing predictive intelligence faces challenges like data interoperability and model explainability.

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This review highlights how predictive analytics models enhance emissions monitoring and infrastructure risk in urban ESG planning.

Okojie et al. (2023) studied this question.

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