Bayesian networks for assessing the sustainability of the marine renewable energy sector in the blue economy of Spanish ports

Journal Article

Title: Bayesian networks for assessing the sustainability of the marine renewable energy sector in the blue economy of Spanish ports

Author:

Vaca-Cabrero, J.; González-Cancelas, N.; Camaro-Orive, A.

Publication Date:

February 21, 2025

Journal:

Sustainable Futures

Volume:

Affiliation

Universidad Politécnica de Madrid

Technology:

Marine Energy

Receptor:

Human Dimensions, Marine Spatial Planning

Language:

English

Document Access

Website:

External Link

Attachment:

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Citation

Vaca-Cabrero, J.; González-Cancelas, N.; Camaro-Orive, A. (2025). Bayesian networks for assessing the sustainability of the marine renewable energy sector in the blue economy of Spanish ports. Sustainable Futures, 9 https://doi.org/10.1016/j.sftr.2025.100497

@article{Vaca-Cabrero-2025-,
author = {Vaca-Cabrero, J and González-Cancelas, N and Camaro-Orive, A},
title = {Bayesian networks for assessing the sustainability of the marine renewable energy sector in the blue economy of Spanish ports},
journal = {Sustainable Futures},
year = {2025},
month = {feb},
volume = {9},
doi = {10.1016/j.sftr.2025.100497},
url = {https://www.sciencedirect.com/science/article/pii/S266618882500067X},
keywords = {Marine Energy, Human Dimensions, Marine Spatial Planning},
}

Export Citation to BibTex

TY - JOUR
TI - Bayesian networks for assessing the sustainability of the marine renewable energy sector in the blue economy of Spanish ports
AU - Vaca-Cabrero, J
AU - González-Cancelas, N
AU - Camaro-Orive, A
T2 - Sustainable Futures
AB - This research focuses on identifying key indicators for the sustainable development of the Marine Renewable Energy sector in the Blue Economy of Spanish ports, utilizing Bayesian networks to integrate economic, social, and environmental perspectives. The study also aims to develop a decision-support tool for strategic planning in ports. The methodology involves creating and analyzing a Bayesian model using data from 28 Spanish port authorities. The study includes selecting indicators, data preprocessing, and model construction to identify interrelations among sustainability variables. Key findings indicate that economic investment in port infrastructure, environmental characterization, and occupational safety are crucial factors for the sector's development. Bayesian networks enabled the representation of relationships among these indicators, highlighting the importance of a balanced approach between economic, social, and environmental sustainability. The study concludes that the sustainability of the Marine Renewable Energy sector depends on an effective integration of economic investments, environmental management, and occupational safety measures, supported by tools like Bayesian networks to optimize decision-making in the port sector.
DA - 2025/02//
PY - 2025
VL - 9
UR - https://www.sciencedirect.com/science/article/pii/S266618882500067X
DO - 10.1016/j.sftr.2025.100497
LA - English
KW - Marine Energy
KW - Human Dimensions
KW - Marine Spatial Planning
ER -

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Abstract

This research focuses on identifying key indicators for the sustainable development of the Marine Renewable Energy sector in the Blue Economy of Spanish ports, utilizing Bayesian networks to integrate economic, social, and environmental perspectives. The study also aims to develop a decision-support tool for strategic planning in ports. The methodology involves creating and analyzing a Bayesian model using data from 28 Spanish port authorities. The study includes selecting indicators, data preprocessing, and model construction to identify interrelations among sustainability variables. Key findings indicate that economic investment in port infrastructure, environmental characterization, and occupational safety are crucial factors for the sector's development. Bayesian networks enabled the representation of relationships among these indicators, highlighting the importance of a balanced approach between economic, social, and environmental sustainability. The study concludes that the sustainability of the Marine Renewable Energy sector depends on an effective integration of economic investments, environmental management, and occupational safety measures, supported by tools like Bayesian networks to optimize decision-making in the port sector.