October 13, 2025Open Access

Predictive Modeling of Urban Flood Risk Zones in Nigerian Cities Using Hybrid AI and Socioeconomic Data

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Predictive modeling improves flood risk assessment using socioeconomic data and AI techniques, suggesting enhanced urban planning.

The hybrid AI model significantly improves urban flood risk predictions, enhancing disaster preparedness.
Experimental results show that the ensemble approach achieved superior prediction accuracy compared to traditional models.
The methodology employs convolutional neural networks and gradient boosting machines to analyze complex datasets.
Integrating socioeconomic factors reveals critical drivers of flood vulnerability and supports targeted urban planning.

Chinonyerem et al. (2025) studied this question.

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