Systematic Literature Review on Smart Marine Environments: Integrating Autonomous Sensor Networks in Coastal Cities
摘要
Aligned with the objectives of UN Sustainable Development Goal 14, which aims to conserve and sustainably use the oceans, seas, and marine resources (United Nations, 2015), coastal cities are increasingly adopting smart marine technologies such as autonomous sensor networks to address environmental challenges and promote sustainable marine management. This systematic literature review examines the integration of these technologies in coastal cities, emphasizing their role and effectiveness in IT-driven mitigation strategies for marine environmental administration while also exploring key barriers, enablers, and stakeholder perceptions regarding the implementation of smart marine environments. Despite the growing prevalence of marine ecological issues, there remains a notable lack of empirical evidence demonstrating the real-world effectiveness of these technologies. Additionally, comprehensive studies exploring stakeholder perceptions and addressing technological integration challenges are limited. This review aims to address these gaps by synthesizing existing research, identifying key barriers and enablers, and providing recommendations for future studies to enhance the adoption and effectiveness of smart marine technologies in coastal cities. To achieve this, a comprehensive search was conducted in ProQuest, EBSCO, and Scopus databases, adhering to PRISMA guidelines, and including 62 peer-reviewed research articles published from 2014 onwards. The review identified significant contributions of autonomous sensor networks in enhancing IT-driven mitigation strategies. Key barriers to implementation include technological limitations, excessive costs, and lack of stakeholder engagement. Conversely, enablers included technological advancements, supportive policy frameworks, and increased stakeholder awareness. To illustrate, advancements in sensor accuracy and data processing capabilities have shown potential in improving real-time environmental monitoring.