Testing the impact of direct and indirect flood warnings  on population behaviour using an agent-based model

O'Shea, Thomas; Bates, Paul; Neal, Jeffrey

doi:https://doi.org/10.5194/nhess-20-2281-2020

Articles | Volume 20, issue 8

https://doi.org/10.5194/nhess-20-2281-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Groundbreaking technologies, big data, and innovation for...

https://doi.org/10.5194/nhess-20-2281-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 8

Research article

|

20 Aug 2020

Research article |

| 20 Aug 2020

Testing the impact of direct and indirect flood warnings on population behaviour using an agent-based model

Thomas O'Shea, Paul Bates, and Jeffrey Neal

Data sets

Census 2011, Key Statistics NOMIS https://www.nomisweb.co.uk/census/2011/key_statistics

RFO3EW – Location of usual residence and place of work ESRC https://wicid.ukdataservice.ac.uk/

OSM Buildings J. Marsch https://osmbuildings.org/?lat=54.89485&lon=-2.93623&zoom=16.0&tilt=30

The Bass Model Frank M. Bass Institute http://www.bristol.ac.uk/geography/research/hydrology/models/lisflood/

NetLogo U. Wilensky https://ccl.northwestern.edu/netlogo/index.shtml

Short summary

Outlined here is a multi-disciplinary framework for analysing and evaluating the nature of vulnerability to, and capacity for, flood hazard within a complex urban society. It provides scope beyond the current, reified, descriptors of flood risk and models the role of affected individuals within flooded areas. Using agent-based modelling coupled with the LISFLOOD-FP hydrodynamic model, potentially influential behaviours that give rise to the flood hazard system are identified and discussed.