Predicting the impact of urban flooding using open data

Posted on June 13, 2016

WISC authors Nataliya TkachenkoRob Procter and Stephen Jarvis predict the impact of urban flooding using open data. Published in the Royal Society Open Science journal, this research explores whether there is a relationship between search patterns for flood risk information on the Web and how badly localities have been affected by flood events. The authors hypothesise that localities where people stay more actively informed about potential flooding, experience less negative impact than localities where people make less effort to be informed.

Being informed, of course, does not hold the waters back; however, it may stimulate (or serve as an indicator of) such resilient behaviours as timely use of sandbags, relocation of possessions from basements to upper floors and/or temporary evacuation from flooded homes to alternative accommodation. Tkachenko and colleagues make use of open data to test this relationship empirically. 

For more information on this research see link.

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