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Extracting local disaster knowledge through gamification in a flood management model community in Thailand
被引:2
|作者:
Toyoda, Yusuke
[1
,2
]
Tanwattana, Puntita
[2
,3
]
机构:
[1] Ritsumeikan Univ, Coll Policy Sci, 2-150 Iwakuracho, Ibaraki, Osaka 5678570, Japan
[2] Chulalongkorn Univ, Environm Res Inst, 15th Floor, Sabbasastravicaya Bldg, Soi Chula 62,, Bangkok 10330, Thailand
[3] Chulalongkorn Univ, Social Sci Res Inst, Human Secur & Equ Res Unit HuSE, 4th Floor,Wisit Prachuabmoh Bldg, Phayathai Rd, Bangkok 10330, Thailand
基金:
日本学术振兴会;
关键词:
Local disaster knowledge;
Knowledge extraction;
Gamification;
Community;
Flood;
Thailand;
CLIMATE-CHANGE ADAPTATION;
RISK-MANAGEMENT;
REDUCTION;
D O I:
10.1016/j.pdisas.2023.100294
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
As risks and effects of climate hazards increase, disaster-prone communities need to gather and systematize Local Disaster Knowledge (LDK) and link it with scientific knowledge for effective disaster risk management. Methods for extracting and synthesizing local knowledge have been developed, though duplicating the methods in any other areas remains a challenge. This study utilizes the concept of gamification for knowledge extraction, and develops a game called "Local Disaster Knowledge Extracting Game: Flood management in Thailand" and designs a focus group discussion which enables easy comparison with the game. The study sets its indicators to evaluate the effectiveness of LDK extraction, and through a social experiment in a model community for community-based flood management in North Thailand, it reveals the superior benefits of the gamification in comparison to focus group discussion in extracting more knowledge related to local contexts and more locally specific knowledge and promoting the social learning enabler.
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