eprintid: 10082986
rev_number: 20
eprint_status: archive
userid: 608
dir: disk0/10/08/29/86
datestamp: 2019-10-15 11:10:10
lastmod: 2021-10-16 22:09:55
status_changed: 2019-10-15 11:10:10
type: proceedings_section
metadata_visibility: show
creators_name: Vecere, A
creators_name: Martina, M
creators_name: Monteiro, R
creators_name: Galasso, C
title: Toward near real-time flood loss estimation: Post-disaster index
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F44
note: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: The increase in the frequency and impact of extreme hydro-meteorological events worldwide highlights the need for more effective financial strategies providing coverage against the economic consequences of such events, particularly in developing countries. Near Real-Time Loss Estimation (NRTLE) models represent a new generation of catastrophe risk models that can serve as a basis for the development of innovative parametric insurance schemes. NRTLE models can help to estimate the impact of an extreme event, in near real time, for instance, through a Post-Disaster Index (PDI), upon which the issued payments depend. This study introduces a new methodology to compute such an index for flood events in the Philippines, which relies on satellite precipitation estimates, exposure information provided by national censuses issued by the Philippine Statistics Authority (PSA), and historic loss data from the EM-DAT International Disaster Loss database. Firstly, the risk model components (hazard, exposure and vulnerability) employed to generate the above index are described. Then, model performance in terms of number of affected residential buildings, estimated by means of the suggested PDI, is analyzed. Finally, an example of parametric insurance coverage based upon the designed PDI is illustrated.
date: 2019-05-26
date_type: published
publisher: S-Space
official_url: https://doi.org/10.22725/ICASP13.345
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1686129
doi: 10.22725/ICASP13.345
lyricists_name: Galasso, Carmine
lyricists_id: CGALA33
actors_name: Galasso, Carmine
actors_id: CGALA33
actors_role: owner
full_text_status: public
publication: 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
place_of_pub: Seoul, South Korea
pagerange: 345
event_title: 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13)
book_title: Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13)
citation:        Vecere, A;    Martina, M;    Monteiro, R;    Galasso, C;      (2019)    Toward near real-time flood loss estimation: Post-disaster index.                     In:  Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13).  (pp. p. 345).  S-Space: Seoul, South Korea.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10082986/1/345.pdf