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ISSN : 1738-3110
Development of a Customer Friendly GIS-based Disaster Management System in South Korea
CHOI, Junho
LEE, Dongkwan
CHOI, Choongik
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Abstract
Purpose: This study explored the improvement and the direction of the smart disaster management system newly attempted in South Korea by analyzing the utilization of the existing system. This study focuses on making it easy to apply to user tasks and improving on site information. Research design, data and methodology: Problems were identified through field surveys with administrators in charge of administration and public institutions based on GIS based status board for NDMS which is widely used in Korea. Also, this study attempted to generalize to specialists in disaster management who are more likely to use the system in the future. Results: We derived improvement plans and verified the results through expert feedback. The results show that the GIS based status board for NDMS is cumbersome to use due to the vast array of unnecessary information compared to the high expected utilization. Conclusions: We found that improving the speed and accuracy of the smart disaster management information delivery system is necessary. Also, it is important to identify reasons for not improve the willingness to use this technology in disaster management and to figure out the process by which field personnel makes decisions that smart disaster information cannot be used for disaster management.
- keywords
- Disaster response, NDMS, GIS-based status board, Smart Disaster Management System, South Korea
Reference
Alexander, D. (2003). Towards the development of standards in emergency management training and education. Disaster Prevention and Management, 12(2), 113-123.
Cheong, T. S., Felix, M. L. A., & Jeong, S. M. (2014). Development of GIS-based disaster assessment system to reduce flood risks in urbanized creeks. Desalination and Water Treatment, 52, 2817-2825.
Chingombe, W., Pedzisai, E., Manatsa, D., Mukwada, G., & Taru, P. (2015). A participatory approach in GIS data collection for flood risk management, Muzarabani district, Zimbabwe. Arabian journal of geosciences, 8(2), 1029–1040.
Choi, C., & Choi, J. (2018a). Development and distribution of risk governance framework in terms of socially viable solutions. Journal of Asian Finance, Economics and Business, 5(3), 185-193.
Choi, C., & Choi, J. (2018b). Distribution and application of community-based disaster risk information: Lessons from Shiga Prefecture in Japan. Journal of Distribution Science, 16(6), 15-23.
Choi, C., Tatano, H., & Choi, J. (2019). Development and application of a sensemaking approach to communitybased disaster risk governance, Journal of Asian Finance, Economics and Business, 6(1), 289-301.
Cutter, S. L. (2003). GI science, disasters, and emergency management. Transactions in GIS, 7(4), 439-445.
Gunes, A. E., & Kovel, J. B. (2000). Using GIS in emergency management operations. Journal of Urban Planning and Development, 126(3), 136-149.
Guo, Y., & Su, X. M. (2012). Mobile device-based reporting system for Sichuan earthquake-affected areas infectious disease reporting in China. Biomedical and Environmental Sciences, 25(6), 724-729.
Haworth, B. T. (2017). Implications of volunteered geographic information for disaster management and GIScience: A more complex world of volunteered geography. Annals of the American Association of Geographers, 108(1), 226-240.
Horita, F. E. A., Albuquerque, J. P., Degrossi, L. C., Mendiond, E. M., & Ueyama, J. (2015). Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks. Computers & Geosciences, 80, 84-94.
Hristidis, V., Chen, S., Li, T., Luis, S., & Deng, Y. (2010). Survey of data management and analysis in disaster situations. The Journal of Systems and Software, 83(10), 1701-1714.
Jefferson, T. L., & Johannes, T. W. (2016). Using geographic information systems to support decision making in disaster response. Intelligent Decision Technologies, 10(2), 193-207.
Keskin, İ., Akbaba, N., Tosun, M., Tüfekçi, M. K., Bulut, D., Avcı, F., Gökçe, O. (2018). Geographic information system and remote sensing based disaster management and decision support platform: Aydes. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W4, 283-290.
Rahman, A., Karim, H. Musliman, I. A., Siew, B., Rashidan, H., Idros, S., Azman, M. A., & Abdullah, M. F. (2018). Developing GIS-based disaster management system for local authority: Case study in Malaysia. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W, 3-8.
Samaddar, S., Okada, N., Choi, J., & Tatano, H. (2017). What constitutes successful participatory disaster risk management? Insights from post-earthquake reconstruction work in rural Gujarat, India. Natural Hazards, 85(1), 111-138.
Shrivastava, R. (2014). Remote sensing and GIS in disasters management-in special reference to Asian countries. Recent Research in Science and Technology, 6(1), 153-156.
Tiwari, A., & Jain, K. (2015). A detailed 3D GIS architecture for disaster management. International Journal of Advanced Remote Sensing and GIS, 4(1), 980-989.
Tomaszewski, B., Judex, M., Szarzynski, J., Radestock, C., & Wirkus, L. (2015). Geographic information systems for disaster response: A review. Journal of Homeland Security and Emergency Management, 12(3), 571-602.
Twumasi, Y. A., Merem, E. C., & Ayala-Silva, T. (2016). Coupling GIS and remote sensing techniques for coastal zone disaster management: The case of Southern Mississippi. Geo environmental Disasters, 3(25), DOI 10.1186/s40677-016-0056-7
Zerger, A., & Smith, D. I. (2003). Impediments to using GIS for real-time disaster decision support. Computers, Environment and Urban Systems, 27, 123-141.
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