Flood Risk, Local Hazard Mitigation, and the Community Rating System of the National Flood Insurance Program

2018 ◽  
Vol 94 (2) ◽  
pp. 175-198 ◽  
Author(s):  
Jingyuan Li ◽  
Craig E. Landry
Keyword(s):  
Flood Risk ◽  
Hazard Mitigation ◽  
Rating System ◽  
Flood Insurance ◽  
National Flood Insurance Program ◽  
Community Rating ◽  
Insurance Program ◽  
Community Rating System

scholarly journals Flood Insurance and Claims: The Impact of the Community Rating System

2019 ◽  
Vol 42 (2) ◽  
pp. 245-262
Author(s):  
Eugene Frimpong ◽  
Daniel R Petrolia ◽  
Ardian Harri ◽  
John H. Cartwright
Keyword(s):  
Rating System ◽  
Flood Insurance ◽  
Community Rating ◽  
Community Rating System ◽  
The Impact

Investigating the stochastic structure of the recently published Redacted Claims data set by the FEMA National Flood Insurance Program

2021 ◽  
Author(s):  
Konstantinos Papoulakos ◽  
Theano Iliopoulou ◽  
Panayiotis Dimitriadis ◽  
Dimosthenis Tsaknias ◽  
Demetris Koutsoyiannis
Keyword(s):  
Flood Risk ◽  
Stochastic Structure ◽  
Economic Losses ◽  
Flood Insurance ◽  
Flood Hazards ◽  
National Flood Insurance Program ◽  
Data Set ◽  
Flood Impacts ◽  
Insurance Program ◽  
Modelling Strategies

<p>During the last decades, scientific research in the field of flood risk management has provided new insights and strong computational tools towards the deeper understanding of the fundamental probabilistic and stochastic behaviour that characterizes such natural hazards. Flood hazards are controlled by hydrometeorological processes and their inherent uncertainties. Historically, a high percentage of flood disasters worldwide are inaccurately or ineffectively reported regarding the aggregated number of the affected people, economic losses and generated flood insurance claims. In this respect, the recently published National Flood Insurance Program (NFIP) data by the Federal Emergency Management Agency (FEMA), including more than two million claims records dating back to 1978 and more than 47 million policy records for transactions, may provide new insights into flood impacts. The aim of this research is to process the actual insurance data derived from this database, in order to detect the underlying patterns and investigate its stochastic structure, paving the way for the development of more accurate flood risk assessment and modelling strategies.</p>

Sign in / Sign up

Export Citation Format

Share Document