Abstract
This study addresses the role of natural hazard insurance in two European countries with different insurance markets and socioeconomic conditions: Sweden and Portugal. The analyses were conducted at the national, regional (Southern Sweden and Lisbon Metropolitan Area – LMA), and local (Malmö and Lisbon cities) scales. Most damage caused by weather and climate-related (WCR) hazards during the 1980–2019 period was not covered by insurance companies in Sweden (71%) and Portugal (91%). An insurance affordability analysis was performed using income for the national and regional scales. Unaffordability is higher in Southern Sweden than in LMA, implying that better socioeconomic conditions do not necessarily mean a higher average capacity to pay for insurance. At the local scale, urban flooding was analysed for Malmö (1996–2019) and Lisbon (2000–2011) using insurance databases, in which the most relevant 21st century rainfall events for each city are included (2014 and 2008, respectively). The influence of terrain features on flooding claims and payouts was determined using Geographic Information Systems (GIS) spatial analyses. The flat Malmö favours ponding and extensive flooding, while the distance to the drainage network and flow accumulation are key factors to promote flooding along valley bottoms in the hilly Lisbon. Flooding hotspots tend to result from a combination of higher depths/lower velocities (accumulation of floodwaters and ponding) and not from a pattern of lower depths/higher velocities (shallow overland flow). More detailed data on insurance, flooding, and socioeconomic conditions, at regional and mainly local scales, is needed to improve affordability and urban flooding risk assessments.
Original language | English |
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Article number | 116079 |
Pages (from-to) | 1-16 |
Number of pages | 16 |
Journal | Journal of Environmental Management |
Volume | 322 |
Early online date | 2 Sept 2022 |
DOIs | |
Publication status | Published - 15 Nov 2022 |
Bibliographical note
Funding Information:The authors would like to thank the Portuguese Association of Insurers (APS) and the CIRAC project (Floods and Risk in Climate Change Scenarios) for their support and for providing the insurance data of Lisbon. This research has the financial support of the Centre of Geographical Studies ( CEG ) ( UIDB/00295/2020 and UIDP/00295/2020 ). Shifteh Mobini is funded by Formas (the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning ) through the grant 2021-02380 .
Funding Information:
The authors would like to thank the Portuguese Association of Insurers (APS) and the CIRAC project (Floods and Risk in Climate Change Scenarios) for their support and for providing the insurance data of Lisbon. This research has the financial support of the Centre of Geographical Studies (CEG) (UIDB/00295/2020 and UIDP/00295/2020). Shifteh Mobini is funded by Formas (the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning) through the grant 2021-02380.
Publisher Copyright:
© 2022 The Authors
Funding
The authors would like to thank the Portuguese Association of Insurers (APS) and the CIRAC project (Floods and Risk in Climate Change Scenarios) for their support and for providing the insurance data of Lisbon. This research has the financial support of the Centre of Geographical Studies ( CEG ) ( UIDB/00295/2020 and UIDP/00295/2020 ). Shifteh Mobini is funded by Formas (the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning ) through the grant 2021-02380 . The authors would like to thank the Portuguese Association of Insurers (APS) and the CIRAC project (Floods and Risk in Climate Change Scenarios) for their support and for providing the insurance data of Lisbon. This research has the financial support of the Centre of Geographical Studies (CEG) (UIDB/00295/2020 and UIDP/00295/2020). Shifteh Mobini is funded by Formas (the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning) through the grant 2021-02380.
Funders | Funder number |
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CEG | UIDP/00295/2020, UIDB/00295/2020 |
Centre of Geographical Studies | |
Portuguese Association of Insurers | |
Academy of Pharmaceutical Sciences | |
Svenska Forskningsrådet Formas | 2021-02380 |
Svenska Forskningsrådet Formas |
Keywords
- Affordability
- Insurance
- Losses
- Natural hazards
- Socioeconomic conditions
- Urban flooding