The Yonmenkaigi System Method for Disaster Restoration of a Local Community in Korea

AbstractThis paper introduces the Yonmenkaigi System Method for creating collaborative action plans for community building to improve disaster restoration at the local community level using a participatory method. A Yonmenkaigi system method workshop was carried out in the Garisan-ri community, County of Inje, Province of Gangwon, Korea in 2012. The Garisan-ri community case shows how inhabitants who was damaged caused by the flood disaster in 2006 can collaboratively develop action plans of the Garisan-ri disaster education camp for their community restoration. The Yonmenkaigi System Method, originally designed in a local community in Japan, comprises four stages: clarifying the main theme by SWOT analysis, drawing up a Yonmenkaigi chart by four groups, debating to improve the implementation of collaborative action plans among four groups, and presenting joined-up action plan of the groups. A participatory workshop by the Yonmenkaigi System Method be summarized as follows; 1) Making collaborative action plans to carry out community building activities for disaster restoration, 2) Providing a sharing space between local community and local government, 3) Sharing vision among local community people for community building from the flood disaster, 4) Improving capacity of human resources in a local community

コミュニティレベルの減災を目指した協働的行動計画形成のための四面会議システム技法の改善と実践的適用 : 日本とインドネシアのケーススタディ

京都大学0048新制・課程博士博士(工学)甲第16060号工博第3383号新制||工||1511(附属図書館)28639京都大学大学院工学研究科都市社会工学専攻(主査)教授 岡田 憲夫, 教授 藤井 聡, 教授 多々納 裕一学位規則第4条第1項該当Doctor of Philosophy (Engineering)Kyoto UniversityDFA

9. 研究成果

9.1 研究成果の概要 [355]9.2 研究成果リスト一覧 [356

A collaborative approach for disaster risk reduction: mapping social learning with Mistawasis Nêhiyawak

Social learning and its relation to disaster risk reduction (DRR) have been increasingly highlighted in the literature. Yet, limited empirical research has hampered practical DRR applications. This thesis demonstrated social learning loops and their outcomes by reflecting on the case of 2011 flooding in Mistawasis Nêhiyawak. Using a mixed-methods research design, I explored the role of participatory processes, including communication of scientific knowledge to lay-experts, in social learning. First, I created flood extent maps for the community using spatial data and modeling techniques. In the second phase, I presented the maps in a workshop held at the community center to understand their value in regard to what people learn from them. This included deliberating not only about physical parameters of the flood but also exploring the social (and human) parameters. Hence, I used fuzzy cognitive mapping (FCM) as a novel method to represent the human perception of flood risk and to measure social learning. In the workshop, FCM was complemented by focus group discussions and participatory mapping. From the results, it was found that i) social learning can be measured using social sciences tools, ii) sharing experiences and stories from past events augmented learning, and iii) awareness on the role of emergency planning in DRR was found to be a significant outcome of social learning. In the growing urgency of climate uncertainties, social learning theory will be critical in helping design practical and ethical research approaches to DRR that emphasize knowledge sharing, two-way communication, and reflexivity. These will ultimately have enhanced emphasis on behavioral responses to disasters that are complementary to the investments in structural responses

Proceedings of the 9th Annual International Conference of the International Institute for Infrastructure Renewal and Reconstruction

Proceedings of The 9th Annual International Conference of the International Institute for Infrastructure Renewal and Reconstruction. The conference was held at Queensland University of Technology (QUT), Brisbane, Australia from 8-10 July 2013. The event title for the 9th Annual Conference was: Risk-informed Disaster Management: Planning for Response, Recovery and Resilience. All papers were double blind peer reviewed and the Proceedings were published online in March 2015

Collaborative Action Development for Community Disaster Reduction by Utilizing the Yonmenkaigi System Method

The Yonmenkaigi system method is utilized for developing a collaborative action plan for disaster risk mitigation at the community level. A case study carried out in the Shuhachi community, City of Kyoto, Japan, demonstrates how residents who are interested in disaster reduction in a local community can collaboratively develop an implementable action plan for their community. The Yonmenkaigi system method has the following main steps: carrying out a SWOT analysis, completing a Yonmenkaigi Chart, debating between groups, and presenting the group action plan. Relationships of the debated action plan components are analyzed by using the Interpretive Structural Modeling (ISM) method. For the case study, the core action plan component which is the root to achieving the action plan is identified