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Exploring the context of maritime SAR missions using visual data mining techniques

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The environmental conditions in the Gulf of Finland vary significantly in different locations. In addition, the gulf is a busy and important area for waterway traffic and international trade throughout the year. In summer, the area is ideal for recreational activities such as boating and other water-related activities. Water accidents occur due to different factors and under varying weather conditions. This paper introduces a visual data mining analysis applied to Search and Rescue (SAR) missions related to recreational boating. Starting from a SAR operations database, an integrated database was constructed by adding weather and wave data. The aim was to compare the different mission types as well as the activity of different SAR organisations during challenging wind and wave conditions. The investigation was performed using visual analysis techniques. The densest areas of challenging wind and wave conditions were found in the western and eastern parts of the gulf. Other investigated parameters were travelled distances and occurrence of the incidents during different times of day. A more detailed analysis was conducted for one dataset.
Rocznik
Strony
79--88
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
autor
  • Aalto University, School of Engineering, Department of Applied Mechanics, Marine Technology Research Group on Maritime Risk and Safety, P.O. Box 12200, FI-00076 Aalto, Finland
autor
  • Aalto University, School of Engineering, Department of Applied Mechanics, Marine Technology Research Group on Maritime Risk and Safety, P.O. Box 12200, FI-00076 Aalto, Finland
  • Kotka Maritime Research Centre Merikotka, 10 Keskuskatu, FI-48100 Kotka, Finland
Bibliografia
  • 1. ANDRIENKO, G., ANDRIENKO, N., SCHUMANN, H., TOMINSKI, C., DEMSAR, U., DRANSCH, D., DYKES, J., FABRIKANT, S., JERN, M. & KRAAK, M.-J. (2010) Space and Time. In: Keim, D., Kohlhammer, J., Ellis, G. & Mansmann, F. (eds.) Mastering the Information Age: Solving Problems with Visual Analytics. Goslar, Germany: Eurographics Association. pp. 57−86.
  • 2. AROLA, T., JALONEN, R. & KUJALA, P. (2007) Meriliikenteen paikkatiedon tilastointi ja hyödyntäminen Suomenlahden meriturvallisuudessa. Helsinki: Picaset. Kirjallisuuskatsaus, joka on tehty MS GOF-tutkimushankkeen esiselvityksenä. [In Finnish] [Translation: Maritime transportation spatial statistics and the safe utilization of the Gulf of Finland]
  • 3. AZOFRA, M., PÉREZ-LABAJOS, C.A., BLANCO, B. & ACHÚTEGUI, J.J. (2007) Optimum Placement of Sea Rescue Resources. Safety Science. [E-journal]. 45, 9. pp. 941−951.
  • 4. CHEN J., MACEACHREN, A.M., GUO, D. (2008) Supporting the Process of Exploring and Interpreting Space-Time, Multivariate Patterns: The Visual Inquiry Toolkit. Cartography and Geographic Information Science. 35, 1. pp. 33‒50.
  • 5. Deltamarin (2006) Maritime Search and Rescue on the Eastern Gulf of Finland: A Study for City of Kotka. Kotka: Deltamarin. Report for project 1032.
  • 6. GOERLANDT, F., TORABIHAGHIGHI, K. & KUJALA, P. (2013) A Model for Evaluating Performance and Reliability of the Voluntary Maritime Rescue System in the Gulf of Finland. In: Steenbergen, R.D.J.M, van Gelder, P.H.A.J.M., Miraglia, S. & Vrouwenvelder, A.C.W.M. (eds.). Safety, Reliability and Risk Analysis: Beyond the Horizon. London: CRC Press. pp. 1351–1356.
  • 7. GUO, D., GAHEGAN, M., MACEACHREN, A.M. & ZHOU, B. (2005) Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery Approach. Cartography and Geographic Information Science. 32, 2. pp. 113−132.
  • 8. KEIM, D.A. (2002) Information Visualization and Visual Data Mining. IEEE Transactions on Visualization and Computer Graphics. 7, 1. pp. 100−107.
  • 9. KOKKO, A. (2013) Sään aiheuttamat meripelastustehtävät Suomen meripelastusvastuualueella 2008−2012. Master’s Thesis. University of Helsinki, the Department of Physics. Helsinki. [In Finnish] [Translation: Weather-related sea rescue missions in the Finnish sea rescue responsibility area 2008–2012]
  • 10. KUJALA, P., HÄNNINEN, M., AROLA, T. & YLITALO, J. (2009) Analysis of the Marine Traffic Safety in the Gulf of Finland. Reliability Engineering and System Safety. 94, 8. pp. 1349−1357.
  • 11. LI, L. (2006) Rescue Vessel Location Modelling. MSs Thesis. Dalhousie University. Ottawa, Canada.
  • 12. LUNETTA, P., SMITH, G.S., PENTTILÄ, A. & SAJANTILA, A. (2004) Unintentional Drowning in Finland 1970−2000: A Population-Based Study. International Epidemiological Association. 33, 5. pp. 1053−1063.
  • 13. LUNTIALA, P., KOMULAINEN, M.-L., LARSSON, N.-E., WALLIN, A. & LYYTIKÄINEN, J. (2004) Kuolemaan johtaneet veneilyonnettomuudet vuosina 2000‒2002. Ministry of the Interior/Police Department. Sisäasiainministeriön julkaisu 11/2004. [In Finnish] [Translation: Fatal boating accidents in the years 2000–2002].
  • 14. MÄKILÄ, M. (2009) Veneilyonnettomuudet ja niihin johtaneet syyt. Thesis. Kymenlaakso University of Applied Sciences. Kotka. [In Finnish] [Translation: Sailing accidents and their causes].
  • 15. MCKNIGHT, A.J., BECKER, W.W., PETTIT, A.J. & MCKNIGHT, A.S. (2007) Human Error in Recreational Boating. Accident Analysis and Prevention. 39, 2. pp. 398−405.
  • 16. Meripelastus (2014) Suomen Meripelastusseura. [Online]. Available: http://www.meripelastus.fi/fi/suomen-meripelastusseura. [In Finnish] [Translation: The Finnish lifeboat association] [Accessed: 13th Mai 2015]
  • 17. MOLBERG, P. J., HOPKINS, R.S., PAULSON, J. & GUNN, R.A. (1993) Fatal incident risk factors in recreational boating in Ohio. Public Health Reports. 108, 3. pp. 340−345.
  • 18. NORRINGTON, L., QUIGLEY, J., RUSSELL, A. & VAN DER MEER, R. (2008) Modelling the Reliability of Search and Rescue Operations with Bayesian Belief Networks. Reliability Engineering and System Safety. 93, 7. pp. 940‒949.
  • 19. O’CONNOR, P.J. & O’CONNOR, N. (2005) Causes and Prevention of Boating Fatalities. Accident Analysis and Prevention. 37, 4. pp. 689‒698.
  • 20. Pelastustoimi (2014) Pelastuslaitokset. [Online]. Available from: http://www.pelastustoimi.fi/pelastustoimi/pelastuslaitokset. [In Finnish] [Translation: The rescue services] [Accessed: 13th Mai 2015].
  • 21. Raja (2014) Finland’s Maritime Search and Rescue System. [Online]. Available from: http://www.raja.fi/sar/en/ system. [Accessed: 13th Mai 2015].
  • 22. SHNEIDERMAN, B. (1996) The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In: IEEE Computer Society (ed.). Proceedings of the 1996 IEEE Symposium on Visual Languages. Boulder, Colorado, USA. 03−06.09.1996. Los Alamitos, California, USA. IEEE Computer Society Press. pp. 336−343.
  • 23. THOMAS, J.J. & COOK, K.A. (2006) Visualization Viewpoints: A Visual Analytics Agenda. IEEE Computer Graphics and Applications. 26, 1. pp. 10−13.
  • 24. VENÄLÄINEN, E. & SONNINEN, M. (2013) Suomen meri– ja järvipelastustehtävät – karttoja ja analyyseja vuosien 2007– 2012 tehtävistä. Aalto-yliopiston julkaisusarja TIEDE+ TEKNOLOGIA, 12/2013. Otaniemi, Finland: Aalto University, Department of Applied Mechanics. [In Finnish] [Finnish maritime and lacustrine SAR incidents and response – mapping and analysis for the period 2007–2012].
  • 25. VIERTOLA, J. (2013) Maritime Safety in the Gulf of Finland: Evaluation of the Regulatory System. Turku: University of Turku. Publications of the Centre for Maritime Studies.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-03e6b22e-b98e-4c03-ae01-5f4d96e25b0e
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