TY - JOUR
T1 - AHP-GIS analysis for flood hazard assessment of the communities nearby the world heritage site on Ayutthaya Island, Thailand
AU - Kittipongvises, Suthirat
AU - Phetrak, Athit
AU - Rattanapun, Patchapun
AU - Brundiers, Katja
AU - Buizer, James L.
AU - Melnick, Rob
N1 - Funding Information:
The authors gratefully acknowledge the financial support provided by the Office of International Affairs, Chulalongkorn University , Bangkok, Thailand. We would also like to thank the all professors of the School of Sustainability at Arizona State University, USA, the researchers of the Environmental Research Institute, Chulalongkorn University, Thailand especially Miss Benjawan Chaisri, Miss Paphada Yensukho, and Mr. Somchai Eiumsam-ang, as well as Asst.Prof. Kuaanan Techato and Asst. Prof. Warangkana Jutidamrongphan from PSU, Thailand for their help and guidance at all stages of the research. Finally, we would like to extend a special thanks to all the local participants in the Ayutthaya Municipality who kindly contributed their time in participating in this study.
Funding Information:
The authors gratefully acknowledge the financial support provided by the Office of International Affairs, Chulalongkorn University, Bangkok, Thailand. We would also like to thank the all professors of the School of Sustainability at Arizona State University, USA, the researchers of the Environmental Research Institute, Chulalongkorn University, Thailand especially Miss Benjawan Chaisri, Miss Paphada Yensukho, and Mr. Somchai Eiumsam-ang, as well as Asst.Prof. Kuaanan Techato and Asst. Prof. Warangkana Jutidamrongphan from PSU, Thailand for their help and guidance at all stages of the research. Finally, we would like to extend a special thanks to all the local participants in the Ayutthaya Municipality who kindly contributed their time in participating in this study.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/9
Y1 - 2020/9
N2 - Thailand faced the worst flooding in half a century in 2011. A previous flood had harshly affected the UNESCO World Heritage Site (WHS) and the surrounding communities. The aims of this study were to assess the spatial distribution of flood hazards and analyze how past experience contributed to community flood readiness. Both GIS analysis and household surveys (n = 405) were systematically performed. According to the Analytic Hierarchy Process (AHP) technique, approximately half of the whole community area (52.63%) and the WHS (44.8%) were at high risk of flooding. Pratuchai, the most populated subdistrict, was at the highest flood hazard level. Runoff and road density were the main contributors to flooding in a community. Regression analysis found that there was a negative correlation between past flood experience and residents’ flood readiness. According to the cluster analysis, there were two groups of respondents: i) those who had more experience with both flood hazards and the inaccessibility of urban services during a flood and were less likely to prepare themselves for future floods (n = 313) and ii) those who had less experience with floods and the inaccessibility of urban services and were more likely to prepare for future floods (n = 92). This implies, in short, that the local populace had not learned much from past experiences of a flood disasters. Advance urban flood management, multi-hazard zoning, and effective flood risk communication are urgently needed to improve flood resilience in the WHS communities.
AB - Thailand faced the worst flooding in half a century in 2011. A previous flood had harshly affected the UNESCO World Heritage Site (WHS) and the surrounding communities. The aims of this study were to assess the spatial distribution of flood hazards and analyze how past experience contributed to community flood readiness. Both GIS analysis and household surveys (n = 405) were systematically performed. According to the Analytic Hierarchy Process (AHP) technique, approximately half of the whole community area (52.63%) and the WHS (44.8%) were at high risk of flooding. Pratuchai, the most populated subdistrict, was at the highest flood hazard level. Runoff and road density were the main contributors to flooding in a community. Regression analysis found that there was a negative correlation between past flood experience and residents’ flood readiness. According to the cluster analysis, there were two groups of respondents: i) those who had more experience with both flood hazards and the inaccessibility of urban services during a flood and were less likely to prepare themselves for future floods (n = 313) and ii) those who had less experience with floods and the inaccessibility of urban services and were more likely to prepare for future floods (n = 92). This implies, in short, that the local populace had not learned much from past experiences of a flood disasters. Advance urban flood management, multi-hazard zoning, and effective flood risk communication are urgently needed to improve flood resilience in the WHS communities.
KW - Analytic hierarchy process
KW - Flood hazard
KW - GIS
KW - Thailand
KW - World heritage site
UR - http://www.scopus.com/inward/record.url?scp=85083807977&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083807977&partnerID=8YFLogxK
U2 - 10.1016/j.ijdrr.2020.101612
DO - 10.1016/j.ijdrr.2020.101612
M3 - Article
AN - SCOPUS:85083807977
SN - 2212-4209
VL - 48
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
M1 - 101612
ER -