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CIMA

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http://hdl.handle.net/10400.1/3405

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Percorrer CIMA por Objetivos de Desenvolvimento Sustentável (ODS) "11:Cidades e Comunidades Sustentáveis"

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  • Empowering maritime spatial planning and marine conservation efforts through digital engagement: the role of online platforms
    Publication . Gutierrez, Débora; Calado, Helena; Toor, Femke van; Moreira, Mariana; Paramio, Maria Luz; Martins, Francisco; Santos, Natali; Melo, Neuza; Newton, Alice
    This study addresses the performance of digital platforms in enhancing ocean governance by improving communication and collaboration among stakeholders. It analyses several platforms based on their collaborative initiatives, digital tools, and ability to function as networks of knowledge. The findings show that these platforms bridge gaps between regional, national, and non-governmental organisations, promoting informed decision making. Their online presence enhances transparency and engagement, especially postCOVID-19. This study highlights the need for hybrid platforms combining informative and interactive elements to better serve both experts and the public. From this analysis, some recommendations are drawn to provide rules and design for the cooperation and co-design of a platform to foster better communication, collaboration, and sustainable ocean management practices.
    2025-07-11Artigo científico Acesso aberto Ver mais
  • Tracking tourism waves: insights from automatic identification system (AIS) data on maritime–coastal activities
    Publication . Ramos, Jorge; Drakeford, Benjamin; Costa, Joana; Madiedo Camelo, Ana Maria; Leitão, Francisco
    Abstract: The demand for maritime–coastal tourism has been intensifying, but its offerings are sometimes limited to a few activities. Some of these activities do not require specific skills or certifications, while others do. This study aimed to investigate what type of activities are carried out by tourism and recreational vessels in the coastal area of the central Algarve (Portugal). To this end, data from the automatic identification system (AIS) of recreational vessels was used to monitor and categorise these activities in a non-intrusive manner. A model (TORMA) was defined to facilitate the analysis of AIS data and relate them to five independent variables (distance from the coast, boat speed, bathymetry, seabed type, and number of pings). The results of the analysis of more than 11 thousand hourly AIS records for passenger, sailing, and charter vessels showed that the 14 most regular ones had strong seasonal patterns, greater intensity in summer, and spatial patterns with more records near some coastal cliffs. This study provides valuable information on the management of motorised nautical activities near the coast and at sea, contributing to more informed and effective tourism regulation and planning.
    2025-05-31Artigo científico Acesso aberto Ver mais