Artificial Intelligence and Sustainable Practices in Coastal Marinas: A Comparative Study of Monaco and Ibiza

Artificial intelligence (AI) can significantly reduce the ecological impact of coastal marinas while maintaining economic viability, as demonstrated by a comparative study of Monaco and Ibiza. In Monaco, AI-driven initiatives like the SEA Index® and predictive maintenance led to a 28% drop in CO2 emissions between 2020 and 2025. Meanwhile, Ibiza achieved an 85% landfill diversion rate through AI-assisted waste systems, solar power, and biodiversity conservation efforts. The study categorizes AI tools into supervised learning, anomaly detection, and rule-based systems, assessing their effectiveness using statistical techniques like t-tests and regression R² values. While AI shows promise in reconciling economic imperatives with ecological conservation, challenges such as ethical oversight, regulatory coherence, and replication across regions persist. Practical steps forward include promoting AI-as-a-Service models, piloting regulatory sandboxes, improving access to open-source platforms, and establishing common standards for marine environmental data stewardship.

Ioras, F., & Bandara, I. (2025). Artificial Intelligence and Sustainable Practices in Coastal Marinas: A Comparative Study of Monaco and Ibiza. Sustainability, 17(16), 7404. https://doi.org/10.3390/su17167404