TY - JOUR
T1 - Comparing the spatial patterns of flooding and individual risk perception
T2 - A case study of Yunlin, Taiwan
AU - Chang, Hsueh Sheng
AU - Su, Qingmu
AU - Jheng, De Chuan
N1 - Funding Information:
The research start-up fund project of Fujian University of Technology (No. GY-Z22039 ).
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/9
Y1 - 2022/9
N2 - As the risk of flooding increases under climate change, countries are recognising that structural mitigation strategies are kind of limited and that non-engineered mitigation measures are needed to reduce the vulnerability of the population. However, if residents become less aware of flooding due to engineering mitigation, this may result in greater loss of life and property (levee effect), or if residents are exposed to more frequent flooding, this often contributes to a greater adaptive capacity (adaptation effect). Therefore, this study adopts the Global Moran's I and Local Indicators of Spatial Association methods to classify areas with different flooding characteristics based on actual historical flooding data, and further explores the differences of residents' adaptation behaviours between “Floods continuing” and “Floods slowing” areas by means of field interviews and questionnaires. Research Results: (I) “Floods continuing” and “Floods slowing” areas were identified; (II) the relationship between risk perception (including flood awareness, risk threat assessment, non-protective awareness) and adaptation behaviour was established; (III) “Floods continuing” areas had higher flood awareness and risk threat assessment, and most of them were willing to adopt adaptation behaviour; “Floods slowing” area are more trusting in engineering mitigation measures. These results confirm the adaptation effect and levee effect.
AB - As the risk of flooding increases under climate change, countries are recognising that structural mitigation strategies are kind of limited and that non-engineered mitigation measures are needed to reduce the vulnerability of the population. However, if residents become less aware of flooding due to engineering mitigation, this may result in greater loss of life and property (levee effect), or if residents are exposed to more frequent flooding, this often contributes to a greater adaptive capacity (adaptation effect). Therefore, this study adopts the Global Moran's I and Local Indicators of Spatial Association methods to classify areas with different flooding characteristics based on actual historical flooding data, and further explores the differences of residents' adaptation behaviours between “Floods continuing” and “Floods slowing” areas by means of field interviews and questionnaires. Research Results: (I) “Floods continuing” and “Floods slowing” areas were identified; (II) the relationship between risk perception (including flood awareness, risk threat assessment, non-protective awareness) and adaptation behaviour was established; (III) “Floods continuing” areas had higher flood awareness and risk threat assessment, and most of them were willing to adopt adaptation behaviour; “Floods slowing” area are more trusting in engineering mitigation measures. These results confirm the adaptation effect and levee effect.
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U2 - 10.1016/j.uclim.2022.101260
DO - 10.1016/j.uclim.2022.101260
M3 - Article
AN - SCOPUS:85135958519
SN - 2212-0955
VL - 45
JO - Urban Climate
JF - Urban Climate
M1 - 101260
ER -