2021
DOI: 10.1029/2020wr029024
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Modeling the Impacts of Urban Flood Risk Management on Social Inequality

Abstract: The exposure of urban populations to flooding is highly heterogeneous, with the negative impacts of flooding experienced disproportionately by the poor. In developing countries experiencing rapid urbanization and population growth a key distinction in the urban landscape is between planned development and unplanned, informal development, which often occurs on marginal, flood‐prone land. Flood risk management in the context of informality is challenging, and may exacerbate existing social inequalities and entre… Show more

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Cited by 25 publications
(10 citation statements)
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References 78 publications
(283 reference statements)
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“…Continuous urbanization and global climate change have created great challenges for the piped-drainage systems, causing cities around the world to suffer from waterlogging or problems related to pluvial flooding [1][2][3]. The concept of green infrastructure (GI) stands for interconnected networks of all kinds of green spaces [4], including raingardens, bioswales, detention or retention ponds, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Continuous urbanization and global climate change have created great challenges for the piped-drainage systems, causing cities around the world to suffer from waterlogging or problems related to pluvial flooding [1][2][3]. The concept of green infrastructure (GI) stands for interconnected networks of all kinds of green spaces [4], including raingardens, bioswales, detention or retention ponds, etc.…”
Section: Introductionmentioning
confidence: 99%
“…The perilous and expensive nature of flood hazards calls for concurrent improvements in the ability of scientists to measure their risk (Kron, 2005 ). Moreover, rapid increases in the population living in marginal areas relative to the flood hazards (Moulds et al, 2021 ), amid the consequences of land use changes such as in Bangladesh (Dewan et al, 2007 ), Belgium (Akter et al, 2018 ), India (Guhathakurta et al, 2011 ), China (Shen et al, 2021 ), the United States (Qiang et al, 2017 ), and elsewhere, a changing climate (Zhou et al, 2012 ; Kreibich et al, 2015 ), sea level rise (Nicholls et al, 1999 ; Bushra et al, 2021 ), and local factors such as subsidence (Mostafiz et al, 2021a ) and extreme weather events (Guhathakurta et al, 2011 ), underline the urgent need for accelerated improvements in flood risk assessment (Merz et al, 2014 ; Mostafiz, 2022 ). Yet proportionately little advancement has been made.…”
Section: Introductionmentioning
confidence: 99%
“…Marginalized populations disproportionably inhabited the hazard-prone areas; they are more susceptible to the impact and have extremely low coping mechan-Journal of Geographic Information System isms with socio-natural disasters [9]. The adverse impacts of flooding [are] experienced disproportionately by the poor [10]. Their research simulates the interactions of flood events with flood response models to examine flood impact in socially heterogeneous communities.…”
Section: Literature Reviewmentioning
confidence: 99%