Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회지)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
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Developing a Method to Define Mountain Search Priority Areas Based on Behavioral Characteristics of Missing Persons

  • Yoo, Ho Jin (Dept. of Geoinformatics (GSE), University of Seoul) ;
  • Lee, Jiyeong (Dept. of Geoinformatics, University of Seoul)
  • Received : 2019.03.18
  • Accepted : 2019.10.24
  • Published : 2019.10.31
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Abstract

In mountain accident events, it is important for the search team commander to determine the search area in order to secure the Golden Time. Within this period, assistance and treatment to the concerned individual will most likely prevent further injuries and harm. This paper proposes a method to determine the search priority area based on missing persons behavior and missing persons incidents statistics. GIS (Geographic Information System) and MCDM (Multi Criteria Decision Making) are integrated by applying WLC (Weighted Linear Combination) techniques. Missing persons were classified into five types, and their behavioral characteristics were analyzed to extract seven geographic analysis factors. Next, index values were set up for each missing person and element according to the behavioral characteristics, and the raster data generated by multiplying the weight of each element are superimposed to define models to select search priority areas, where each weight is calculated from the AHP (Analytical Hierarchy Process) through a pairwise comparison method obtained from search operation experts. Finally, the model generated in this study was applied to a missing person case through a virtual missing scenario, the priority area was selected, and the behavioral characteristics and topographical characteristics of the missing persons were compared with the selected area. The resulting analysis results were verified by mountain rescue experts as 'appropriate' in terms of the behavior analysis, analysis factor extraction, experimental process, and results for the missing persons.

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References

  1. Bang, S., Heo, J., Sohn, H. and Lee, Y. (2006), Analysis of infiltration route using optimal path finding methods and geospatial information. Journal of the Korean Society of Civil Engineers, Vol. 26, No. 1D, pp. 195-202.
  2. Doke, J. (2012), Analysis of Search Incidents and Lost Person Behavior in Yosemite National Park, Ph.D. dissertation, University of Kansas, Lawrence, Kansas, USA, 101p.
  3. Hill, K.A. (1991), Predicting the Behavior of Lost Persons. Proceedings of the 20th Annual Conference of the National Association for Search and Rescue, Fairfax, Virginia, USA, pp. 159-179.
  4. Koester, R.J. (2008), Lost Person Behavior: A Search and Rescue. dBs Productions LLC. Charlottesville, Virginia, USA.
  5. Koester, R.J. (2018), Determining Probabilistic Spatial Patterns of Lost Persons and Their Detection Characteristics in Land Search & Rescue, Ph.D. dissertation, University of Portsmouth, Portsmouth, England, United Kingdom, 222p.
  6. Lee, S. and Lee, J. (2011), Vulnerability analysis on fire service zone using map overlay method in GIS. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 29, No. 1, pp. 91-100. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2011.29.1.91
  7. Lin, L. and Goodrich, M.A. (2010), A Bayesian approach to modeling lost person behaviors based on terrain features in wilderness search and rescue. Computational and Mathematical Organization Theory, Vol. 16, No. 3, pp. 300-323. https://doi.org/10.1007/s10588-010-9066-2
  8. Ministry of the Interior and Safety (2013-2017), disaster year books 2013-2017. Ministry of the Interior and Safety, Republic of Korea, https://www.mois.go.kr/frt/bbs/type001/commonSelectBoardArticle.do?bbsId=BBSMSTR_000000000014&nttId=64723 (last date accessed: 23 April 201921).
  9. Mohibullah, W. (2017), Agent-based lost person movement modelling, prediction and search in wilderness, Ph. D. dissertation, University College London, London, United Kingdom, 277p.
  10. National Fire Agency, (2019), Fire Statistics Report 2019, National Fire Agency, Republic of Korea, https://www.nfa.go.kr/nfa/releaseinformation/statisticalinformation/main/?boardId=bbs_0000000000000019&mode=view&cntId=20&category=&pageIdx=&searchCondition=&searchKeyword= (last date accessed: 19 October 2019).
  11. Oh, S. (2008), A Study on the Location Analysis Using Spatial Analysis and Ordered Weighted Averaging (OWA) Operator Weighting Functions, Ph.D. dissertation, Korea Maritime and Ocean University Graduate School, Busan, South Korea, 145p.
  12. Perkins, D., Roberts, P., and Feeney, G. (2003), Missing Person Behaviour: An Aid to The Search Manager. Newport: Mountain Rescue Council England and Wales.
  13. Saaty, T. L. (2005), Analytic hierarchy process. Encyclopedia of Biostatistics, John Wiley & Sons, New York, NY, USA.
  14. Satoh, E., Yoshikawa, T., and Yamada, A. (2006), Investigation of converted walking distance considering resistance of topographical features and changes in physical strength by age model for location planning of regional facilities considering topographical condition and aging society part 1., Journal of Architecture and Planning, Vol. 610, pp. 133-139. https://doi.org/10.3130/aija.71.133_2
  15. Seoul Metropolitan Government. (2017), Seoul, over the past three years mountain accident statistics analysis released, Seoul Information Communication Plaza, https://opengov.seoul.go.kr/press/11783178 (last date accessed: 18 October 2019).
  16. Seoul Metropolitan Government. (2018), Statistical Analysis of Mountain Accidents, Measures to Rescue Lifesaving Accidents in Autumn, Seoul Information Communication Plaza, https://opengov.seoul.go.kr/press/16110409 (last date accessed: 10 December 2018).
  17. Shin, N., Oh, M., Choe, H., Chung, D., and Lee, Y. (2009), Analysis of infiltration area using prediction model of infiltration risk based on geospatial information, Journal of the KIMST, Vol. 12, No. 2, pp. 199-205. (in Korean with English abstract)
  18. Syrotuck, W. G. (2000), Analysis of Lost Person Behavior: An Aid to Search Planning, Barkleigh Productions. Philadelphia, USA.
  19. Tobler, W. (1993), Three presentations on geographical analysis and modeling. National Center for Geographic Information and Analysis, USA.
  20. Tomlin, C. D. (1990), Geographic information systems and cartographic modelling (No. 910.011 T659g). Prentice-Hall. New Jersey, USA.