Assessment of flood adaptive capacity of urban areas in Thailand |
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| Affiliation: | 1. State Key Laboratory of Water Resources & Hydropower Engineering Science, Wuhan University, 299 Bayi Road, Wuchang Distinct, Wuhan, Hube 430072, China;2. École de technologie supérieure, Université du Québec, 1100 Notre-Dame Street West, Montreal, QC H3C 1K3, Canada;3. Centre ESCER, Université du Québec, Case postale 8888, succursale Centre-Ville, Montréal, QC H3C 3P8, Canada;1. National Institute of Education, Nanyang Technological University, Singapore;2. Asian School of the Environment, Nanyang Technological University, Singapore;3. Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan;4. Jet Propulsion Laboratory, California Institute of Technology, CA, USA;5. Research Center for Environment Quality Management, Kyoto University, Kyoto, Japan;6. Center for Informatics and Statistics, Ministry of Agriculture and Rural Development, Viet Nam;1. Department of Sociology, ShahJalal University of Science and Technology, Sylhet 3114, Bangladesh;2. Natural Resources Institute, University of Manitoba, 70 Dysart Road, Winnipeg, Manitoba, Canada R3T 2N2;1. Department of Public Governance and Sustainable Development, MODUL University, Vienna, Austria;2. Disaster Risk Management Unit, Joint Research Centre, European Commission, Austria;3. Centre for Development and Environment, University of Bern, Switzerland |
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| Abstract: | Urban floods have a significant impact on the economy, livelihoods, and daily activities. Despite extensive research on flood adaptation, there is a lack of consensus on ways to assess flood adaptive capacity. This research thus proposes an assessment framework of flood adaptive capacity of urban residents in flood-prone areas. The indicators are based on six components: economic resources, social capital, awareness and training, technology, infrastructure, and institutions and policies. The relevancy of the indicators was evaluated by experts in related fields, and a questionnaire was developed to collect data from a random sample of 230 households in 10 flood-prone municipalities in Thailand. Statistical analysis and structural equation modeling were subsequently performed to validate the components and indicators, and a flood-adaptability questionnaire was constructed. As a trial implementation, the questionnaire was applied to a target flood-prone municipality, Phetchaburi, to assess its adaptive capacity to flooding, expressed as flood adaptive capacity index. The adaptive capacity of Phetchaburi municipality to flooding was found to be high indicating the improvement in economic resources and infrastructure components. These findings reveal that the proposed framework is suitable for assessing the flood adaptive capacity of urban residents and useful for integrated flood risk assessment and management. |
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