Identifying the drivers of private flood precautionary measures in Ho Chi Minh City, Vietnam
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Published:2023-03-16
Issue:3
Volume:23
Page:1125-1138
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ISSN:1684-9981
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Container-title:Natural Hazards and Earth System Sciences
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language:en
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Short-container-title:Nat. Hazards Earth Syst. Sci.
Author:
Vishwanath Harish ThulasiORCID, Sairam NiveditaORCID, Yang Liang Emlyn, Garschagen Matthias, Kreibich HeidiORCID
Abstract
Abstract. Private flood precautionary measures have proven to
reduce flood damage effectively. Integration of these measures into flood
response systems can improve flood risk management in high-risk areas such
as Ho Chi Minh City (HCMC). Since uptake of such measures is voluntary, it
is important to know what drives householders to implement precautionary
measures. In this study, we developed a framework representing the uptake of private precautionary measures based on protection motivation theory and
the transtheoretical model. Using empirical survey data collected from 1000
flood-prone households in HCMC, we implemented lasso and elastic-net
regression to identify the drivers of private precaution. The measures were
classified into structural measures and non-structural measures based on
whether structural changes to the building were required. The households
were classified into proactive and reactive households based on whether
their decision to reduce risk (i.e. uptake of precautionary measures) was
preceded by experiencing a flood. The data-driven model revealed that the
household's level of education, the degree of belief in the government to
implement regional flood protection measures and the degree of belief that
in case of flooding one has to deal with the consequences of flooding by
themselves positively influence the proactive uptake of non-structural
measures. Among the households that experienced flooding before implementing
the measures, the uptake was found to be driven by the severity of the
experienced damage. For the same group of households, perceiving a high
severity of future flood impacts was found to negatively influence the
uptake of structural flood precautionary measures. These results highlight
that efforts to improve the implementation of private precautionary measures
should consider the socio-economic characteristics of the members of the household, their
past flood experience and their perception of flood risk management for
communicating flood risk and incentivizing private precautionary measures.
Funder
Berlin Center for Machine Learning
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
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