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Design of Rural Business Model to Prevent Reservoir Flood

저수지 침수 피해 예방을 위한 농촌 맞춤형 비즈니스 모델 설계

  • Jo, Yerim (Department of Rural System Engineering, Seoul National University) ;
  • Lee, Jonghyuk (Department of Rural System Engineering, Seoul National University) ;
  • Seo, Byunghun (Research Institute of Agriculture and Life Sciences, Seoul National University) ;
  • Kim, Dongsu (Research Institute of Agriculture and Life Sciences, Seoul National University) ;
  • Seo, Yejin (Research Institute of Agriculture and Life Sciences, Seoul National University) ;
  • Kim, Dongwoo (Department of Rural System Engineering, Seoul National University) ;
  • Choi, Won (Department of Rural System Engineering, Research Institute for Agriculture and Life Sciences, Global Smart Farm Convergence Major, Seoul National University)
  • 조예림 (서울대학교 지역시스템공학부 ) ;
  • 이종혁 (서울대학교 지역시스템공학부 ) ;
  • 서병훈 (서울대학교 농업생명과학연구원) ;
  • 김동수 (서울대학교 농업생명과학연구원) ;
  • 서예진 (서울대학교 농업생명과학연구원) ;
  • 김동우 (서울대학교 지역시스템공학부 ) ;
  • 최원 (서울대학교 지역시스템공학부/농업생명과학연구원/글로벌 스마트팜 융합전공)
  • Received : 2024.04.30
  • Accepted : 2024.07.31
  • Published : 2024.08.31

Abstract

Agricultural reservoirs play a crucial role in rural areas, providing essential water resources for agriculture. However, collapses or overfilling of reservoirs can lead to significant damages to both property and lives. Unfortunately, the safety of agricultural reservoirs is often uncertain due to aging infrastructure and lack of comprehensive safety management systems. Additionally, the escalating severity of climate change exacerbates these risks, because of extreme weather events. This study proposes a business model for a flood damage management platform tailored to rural areas to predict downstream flooding caused by agricultural reservoirs and to integrate comprehensive reservoir safety management. It aims to predict more accurate downstream flood damage using improved methods based on previous studies. The proposed business model presents strategies for providing improved downstream flood damage prediction services, and identifies potential customers and service supply strategies for the flood damage management platform. Finally, it presents an economic analysis of the proposed business model and strategies for further revenue generation.

Keywords

Acknowledgement

이 논문은 행정안전부 기후변화대응 AI 기반 풍수해 위험도 예측기술개발사업의 지원을 받아 수행된 연구임 2022-MOIS61-003(RS-2022-ND634022)

References

  1. Baik, S. Y., Lee, S. S., and Lee, S. G., 2022, The vulnerability analysis of safety inspection system based on agricultural reservoir failure cases, Crisisonomy, 18(8), 81-91.  https://doi.org/10.14251/crisisonomy.2022.18.8.81
  2. Cho, E. S., 2023, Budget analysis series 4: analysis of key projects in the 2024 budget proposal (3) analysis of disaster policy insurance project, National Assembly Budget Office, 1-48. 
  3. Gatzert, N., and Reichel, P., 2022, Awareness of climate risks and opportunities: empirical evidence on determinants and value from the US and European insurance industry, The Geneva Papers on Risk and Insurance-Issues and Practice, 1-22. 
  4. Jeong, Y. j., Lee, J. H., Lee, S. I., Oh, B. Y., Ahmed, F., Seo, B. H., Kim, D. S., Seo, Y. S., and Choi, W., 2022, Development of 3D crop segmentation model in open-field based on supervised machine learning algorithm, Journal of the Korean Society of Agricultural Engineers, 64(1), 15-26.  https://doi.org/10.5389/KSAE.2022.64.1.015
  5. Johnson, M. W., Christensen, C. M., and Kagermann, H., 2008, Reinventing your business model, Harvard business review, 86(12), 50-59. 
  6. Jun, S. M., Song, j. H., Choi, S. K., Lee, K. D., and Kang, M. S., 2018, Combined 1D/2D inundation simulation of riverside farmland using HEC-RAS, Journal of the Korean Society of Agricultural Engineers, 60(5), 135-147.  https://doi.org/10.5389/KSAE.2018.60.5.135
  7. Jung, K. H., and Sung, C. S., 2017. A study on the business model of a platform company using platform business model map : case study on Kakao, Youtube and Edupang, ournal of the Korean Entrepreneurship Society, 12(2), 57-75.  https://doi.org/10.24878/tkes.2017.12.2.057
  8. Kim, S. N., Lee, J. H., Jun, S. M., Choi, W., and Kang, M. S., 2023, Development of and inventory-based flood loss estimation method fo r rural area, Journal of the Korean Society of Agricultural Engineers, 65(6), 65-78.  https://doi.org/10.5389/KSAE.2023.65.6.065
  9. Korea Institute of S&T Evaluation and Planning (KISTEP), 2016, Standard Guidance for Preliminary Feasibility of Research and Development Projects [2-1], 307-319. 
  10. Korean Rural Community Corporation (KRC), 2023, Statistical yearbook of land and water development for agriculture 2022, 11-1380000-000014-10, Korean Rural Community Corporation, Ministry of Agriculture&Food& Rural Affairs, 316-442. 
  11. Lee, B., 2014, The risk of collapse and safety management of aging reservoirs, Disaster Prevention Review, 16(4), 20-25. 
  12. Lee, D. H., 2019, Establishing strategies of start-up through platform business model analysis, Social Science Studies, 26(1), 206-223.  https://doi.org/10.46415/jss.2019.03.26.1.206
  13. Lee, J. H., Lee, S. I., Jeong, Y. J., Kim, D. S., Lee, S. J., and Choi, W., 2021, Design of the business model to reduce the damage of heavy snowfall in greenhouse, Journal of the Korean Society of Agricultural Engineers, 63(2), 61-74.  https://doi.org/10.5389/KSAE.2021.63.2.061
  14. Lee, J. H., Lee, S. I., Seo, B. H., Kim, D. S., Seo, Y. J., Her, Y. G., and Choi, W., 2023, Comparative analysis of flood wave modelling methodologies for reservoir failure based on structure from motion, Journal of the Korean Society of Agricultural Engineering, 64(1), 15-26. 
  15. Lee ,J. H., Lee, S. I., Jeong, Y. J., Seo, B. H., Kim, D. S., Seo, Y. J., Her, Y. G., Choi, W., Kim, D. W., and Jo, Y. R., 2024, Enhancing flood wave modeling of reservoir failure: a comparative study of structure-from-motion based 2D and 3D methodologies, Natural Hazards. 
  16. Lee, S. H., and Park, D. J., 2012, Development business model six principles and application smart- work business, e-business, 13(2), 203-222.  https://doi.org/10.15719/GEBA.13.2.201206.203
  17. Lee, Y. H., and Lee, D. W., 2017, Effective method for remodeling of deteriorated agricultural reservoirs, Journal of the Korean Society of Agricultural Engineers, 59(4), 43-52.  https://doi.org/10.5389/KSAE.2017.59.4.043
  18. Ministry of Agriculture, Food and Rural Affairs (MAFRA), 2023, 2023-2032 Agricultural Production Base Maintenance Plan. 
  19. Ministry of Land, Infrastructure and Transport (MOLIT), 2023, The 7th national spatial information policy basic plan, 1-44. 
  20. Ministry of the Interior and Safety (MOIS), 2018, Revision of guidelines for emergency action plan in case of reservoir or dam collapse, 1-11. 
  21. Teece D. J., 2010, Business models, business strategy and innovation, Long range planning, 43(2-3), 172-194. https://doi.org/10.1016/j.lrp.2009.07.003