Property flood resilience database: an innovative response for the insurance market

Garvin, Stephen; Hunter, Katy; McNally, Dermot; Barnett, Douglas; Dakin, R. J.

doi:10.1051/e3sconf/20160722002

Cited by 6 publications

(6 citation statements)

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“…Household-scale methods. The most common approach to resilience was to measure, or assess in some form, property-level flood resilient technologies, the majority of which were technical methods such as flood impact assessments (see e.g., Owotoki et al 2006;Gersonius 2008;Golz, Schinke, and Naumann 2015;Garvin et al 2016). White et al (2018) and Hartmann and Scheibel (2016) focus on property-level resilience measures, but concentrate on how to improve uptake.…”

Section: Conceptual/ Theoreticalmentioning

confidence: 99%

“…et al (2006) Mugume et al (2015) Schinke et al (2016) Golz, Schinke, and Naumann (2015) Pregnolato et al (2016) Gersonius et al (2008) Beheshtian, Donaghy, and Rouhani (2016) Song, Huang, and Li (2017) Coates et al (2016) Miguez and Ver ol (2017) Beevers, Walker, and Strathie (2016) Qasim et al (2016) Keating et al (2017) Chiang and Ling (2017) Balica, Douben, and Wright (2009) Kotzee and Reyers (2016)Garvin et al (2016) …”

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confidence: 99%

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Flood resilience: a systematic review

McClymont

Morrison

Beevers

et al. 2019

Journal of Environmental Planning and Management

139

102

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Hydro-hazards are increasing in frequency due to climate change which has inspired a cultural change in Flood Risk Management (FRM). Uncertainty associated with climate change has resulted in a shift towards flood resilience as it helps deal with unexpected climatic perturbations that impact extreme flows. The concept of resilience has increased in popularity, leading to a multitude of definitions, measurements and applications. This paper systematically reviews the FRM literature to provide clarity on the differing perspectives of resilience and how they influence successful implementation of the concept. Our analysis assesses where FRM is positioned within three pre-defined interdisciplinary understandings of resilience. The polysemic nature of resilience has produced a multitude of different perspectives that prevent successful operationalisation. Resilience is interdisciplinary; therefore it requires integration between top-down and bottom-up FRM approaches, as well as a more holistic approach to the interdependence between temporal and spatial scales.

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Section: Conceptual/ Theoreticalmentioning

confidence: 99%

mentioning

confidence: 99%

Flood resilience: a systematic review

McClymont

Morrison

Beevers

et al. 2019

Journal of Environmental Planning and Management

139

102

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“…Sedangkan untuk asuransi rumah, tidak ada satupun responden yang memiliki asuransi. Padahal asuransi rumah ini penting untuk membantu pemulihan pasca bencana terutama perbaikan kerusakan rumah (Garvin et al, 2016) (McClymont et al, 2020 (Karrasch et al, 2021).…”

Section: Hasil Dan Pemabahasanunclassified

Ketahanan Masyarakat Desa Melintang Terhadap Bencana Banjir Danau Melintang

Anwar

Maulana

Goma

et al. 2022

JJPG

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Banjir seringkali mengharuskan masyarakat dapat bertahan dalam menghadapinya. Desa melintang merupakan desa rawan bencana banjir, karena posisi desa berada di atas Danau Melintang, yang menyebabkan desa ini sering terkena banjir. Fokus penelitian ini guna mengetahui ketahanan masyarakat Desa Melintang terhadap banjir danau. Penilaian ketahanan masyarakat menggunakan pendekatan skoring dari variabel ekonomi, sosial dan lingkungan. Pengumpulan data utama dilakukan dengan metode wawancara guna mengetahui ketahanan masyarakat terhadap bencana banjir. Hasil penelitian menunjukkan ketahanan masyrakat tergolong kelas ketahanan sedang dan tinggi. Banyak faktor yang mempengaruhi tingginya ketahanan ini terutama dari variabel ekonomi dan sosial, sedang veriabel lingkungan lebih cenderung membuat masyarakat kurang memiliki ketahanan dalam menghadapi bencana banjir. Walaupaun variabel lingkungan kurang mendukung masyarakat dapat bertahan untuk tinggal di atas Danau Melintang sampai sekarang dan enggan untuk dievakuasi pada saat bencana banjir ekstrim sekalipun. Guna meningkatkan ketahanan masyarakat perlu adanya peningkatan variabel lingkungan terutama lingkungan sosial yang dalam hal ini peran pemerintah dan komunitas. Penghitungan kerentanan menggunakan skoring merupakan pedekatan secara sederhana dan cepat yang dapat membantu dalam mengetahui faktor ketahanan masyarakat dalam menghadapi banjir danau yang dapat digunakan sebagai rekomendasi dalam peningkatan ketahanan masyarakat.

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“…Several studies have proposed flood risk score methodologies for classifying at-risk properties and communities (Martínez-Graña et al, 2016). These studies utilized the scoring methodologies based on various types of inputs such as geomorphological features (Martínez-Graña et al, 2016), risk of essential facilities (Phongsapan et al, 2019), hydrological parameters (Khan et al, 2019;Gao et al, 2020), flood zone (Luu et al, 2020;Eichholtz et al, 2019), and inundation depth (Phillips et al, 2017;Garvin et al, 2016). The data availability can be a significant obstacle for flood risk scoring (Emanuelsson et al, 2014).…”

Section: Flood Risk Quantification and Scoringmentioning

confidence: 99%

Flood Risk Assessment and Quantification at the Community and Property Level in the State of Iowa

Yildirim¹,

Just²,

Demir³

2021

Preprint

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Flood risk assessment contributes to identifying at-risk communities and supports mitigation decisions to maximize benefits from the investments. Large-scale risk assessments generate invaluable inputs for prioritizing regions for the distribution of limited resources. High-resolution flood maps and accurate parcel information are critical for flood risk analysis to generate reliable outcomes for planning, preparedness, and decision-making applications. Large-scale damage assessment studies in the United States often utilize the National Structure Inventory (NSI) or HAZUS default dataset, which results in inaccurate risk estimates due to the low geospatial accuracy of these datasets. On the other hand, some studies utilize higher resolution datasets, however they are limited to focus on small scales, for example, a city or a Hydrological United Code (HUC)-12 watershed. In this study, we collected extensive detailed flood maps and parcel datasets for many communities in Iowa to carry out a large-scale flood risk assessment. High-resolution flood maps and the most recent parcel information are collected to ensure the accuracy of risk products. The results indicate that the Eastern Iowa communities are prone to a higher risk of direct flood losses. Our model estimates nearly $10 million in average annualized losses, particularly in large communities in the study region. The study highlights that existing risk products based on FEMA's flood risk output underestimate the flood loss, specifically in highly populated urban communities such as Bettendorf, Cedar Falls, Davenport, Dubuque, and Waterloo. Additionally, we propose a flood risk score methodology for two spatial scales (e.g., HUC-12 watershed, property) to prioritize regions and properties for mitigation purposes. Lastly, the watershed-scale study results are shared through a web-based platform to inform the decision-makers and the public.

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Property flood resilience database: an innovative response for the insurance market

Cited by 6 publications

References 0 publications

Flood resilience: a systematic review

Flood resilience: a systematic review

Ketahanan Masyarakat Desa Melintang Terhadap Bencana Banjir Danau Melintang

Flood Risk Assessment and Quantification at the Community and Property Level in the State of Iowa

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