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Predicting the impact of urban flooding using open data
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Tkachenko, Nataliya, Procter, Rob and Jarvis, Stephen A. (2016) Predicting the impact of urban flooding using open data. Royal Society Open Science , 3 (5). 160013. doi:10.1098/rsos.160013 ISSN 2054-5703.
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Official URL: http://dx.doi.org/10.1098/rsos.160013
Abstract
This paper aims to explore 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. We hypothesize 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. We make use of open data to test this relationship empirically. Our results demonstrate that although aggregated Web search reflects average rainfall patterns, its eigenvectors predominantly consist of locations with similar flood impacts during 2014–2015. These results are also consistent with statistically significant correlations of Web search eigenvectors with flood warning and incident reporting datasets.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | G Geography. Anthropology. Recreation > GB Physical geography | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
| Library of Congress Subject Headings (LCSH): | Flood control -- Social aspects -- Great Britain , Floods -- Information resources, Flood forecasting -- Databases | ||||||||
| Journal or Publication Title: | Royal Society Open Science | ||||||||
| Publisher: | The Royal Society Publishing | ||||||||
| ISSN: | 2054-5703 | ||||||||
| Official Date: | 25 May 2016 | ||||||||
| Dates: |
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| Volume: | 3 | ||||||||
| Number: | 5 | ||||||||
| Article Number: | 160013 | ||||||||
| DOI: | 10.1098/rsos.160013 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 27 May 2016 | ||||||||
| Date of first compliant Open Access: | 27 May 2016 | ||||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC), British Geological Survey | ||||||||
| Grant number: | (EP/L016400/1) |
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