@inproceedings{449e949f7db14bf08b41af7fb3bc18de,
title = "An application of {\textquoteleft}Big Data{\textquoteright} in flood risk management",
abstract = "Vulnerability can be conceptualised as a three-dimensional space that comprises of susceptibility, exposure and resilience. These components are pertinent in enhancing our understanding of how physical and social systems react and are integral to successful Flood Risk Management. The emergence of {\textquoteleft}Big Data{\textquoteright} provides a unique opportunity to understand the vulnerability of our systems on a deeper level. This paper provides preliminary insights into the applicability of Big Data in FRM through a mixed-methods approach that considers three components of vulnerability. We highlight that Big Data can be useful when applied to top-down and bottom-up strategies alike to understand the interplay between exposure, susceptibility and resilience and their implications in better protecting our social system. Overall, this paper aims to further the discussion on the integration of top-down and bottom-up FRM strategies and interdependence of scales of vulnerability to flooding.",
author = "D. Morrison and G. Aitken and L. Beevers and G. Wright",
note = "Publisher Copyright: {\textcopyright} 2020 Taylor & Francis Group, London; 10th Conference on Fluvial Hydraulics, River Flow 2020 ; Conference date: 07-07-2020 Through 10-07-2020",
year = "2020",
month = aug,
day = "27",
language = "English",
series = "River Flow 2020 - Proceedings of the 10th Conference on Fluvial Hydraulics",
publisher = "Routledge",
pages = "1864--1872",
editor = "Wim Uijttewaal and Franca, {Mario J.} and Daniel Valero and Victor Chavarrias and Arbos, {Claudia Ylla} and Ralph Schielen and Ralph Schielen and Alessandra Crosato",
booktitle = "River Flow 2020",
address = "United Kingdom",
}