GIS-based cost distance modelling to support strategic maritime search and rescue planning: A feasibility study |
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| Institution: | 1. Department of Geosciences and Geography, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland;2. Aalto University, School of Engineering, Department of Applied Mechanics, Marine Technology, Research Group on Maritime Risk and Safety, P.O. Box 15300, FI-00076 Aalto, Finland;1. Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, 100871, China;2. Beijing Key Lab of Spatial Information Integration & Its Applications, Peking University, Beijing, 100871, China;1. Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Portugal;2. Research Center for High Performance Computing, ITMO University, Saint-Petersburg, Russia;1. North Carolina Central University, 1801 Fayetteville St., Durham, NC 27707, USA;2. North Carolina State University, Raleigh, NC, USA;1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;2. Collaborative Innovation Center of South China Sea Studies, Nanjing 210093, China;3. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Geographic information system (GIS) based methodologies are widely used to various problems. However, its potential for application to strategic maritime search and rescue (SAR) planning remains largely unexplored. To investigate the applicability of GIS-based tools to this problem, this paper presents an approach to evaluate accessibility and response times in a sea area. Such information aids to objectify the response effectiveness of a SAR system, which is important for rational resource allocation. The presented methodology accounts for the main characteristics of maritime response, namely spatial accessibility, capabilities of search and rescue units (SRUs) and prevailing wave conditions, which affect the attainable SRU speeds. An application to the Finnish areas of the Gulf of Finland is shown. Despite the existence of some difficulties with currently available tools (e.g. accurate and user-friendly spatial wave models and challenges with using raster-based methods in topologically complex areas) and limitations in knowledge (e.g. the SRU capabilities in actual operations), the results indicate that the methodology provides good opportunities for enhancing maritime decision making. |
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| Keywords: | Accessibility Maritime SAR Emergency response GIS Cost distance Maritime safety |
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