Future flood risk is unlikely to be equal across society because flood-vulnerability (hence economic loss) is linked to socio-economic factors. To protect against flooding, insurance is used alongside state-led protection measures (e.g. sea walls, culverts, etc). Planning laws are also used to reduce exposure by restricting development in high flood risk areas (zone C available here); however, the need for housing (e.g. government pledges for 300,000 new homes per year) may constrain where sustainable developments can occur (e.g. when including community needs/services, as well as access to mortgages and insurance).
We hypothesize exposure to the changing flood risk will not be equal across society, given changing patterns of flood risk, demographics and flood protection (e.g. access to mortgages and insurance).
We will show how flood risk will impact social demographics and recreation demographics, demonstrating the hidden value of big data within digital environmental themes. We will establish a method to harvest publicly available data, mapping land use (e.g. recreation) and value (house prices, tourism) to monitor value, and values, communities have with the environment. We aim to establish methods to harvest online-data to map spatio-temporal changes in how we use, and value, land as climate change impacts such spaces - using outputs from our NERC future climate change driven flooding project "SEARCH" and engagement with stakeholders (e.g. reinsurance and Environment Agency).

Funding awarded through the Bangor University Innovation and Impact Award (Research Wales Innovation Funding). Value = £9798