Strengthening risk-informed decision-making: scenarios for human vulnerability and exposure to extreme events

Author:

Birkmann Joern,Sauter Holger,Jamshed AliORCID,Sorg Linda,Fleischhauer Mark,Sandholz Simone,Wannewitz Mia,Greiving Stefan,Bueter Bjoern,Schneider Melanie,Garschagen Matthias

Abstract

PurposeEnhancing the resilience of cities and strengthening risk-informed decision-making are defined as key within the Global Agenda 2030. Implementing risk-informed decision-making also requires the consideration of scenarios of exposure and vulnerability. Therefore, the paper presents selected scenario approaches and illustrates how such vulnerability scenarios can look like for specific indicators and how they can inform decision-making, particularly in the context of urban planning.Design/methodology/approachThe research study uses the example of heat stress in Ludwigsburg, Germany, and adopts participatory and quantitative forecasting methods to develop scenarios for human vulnerability and exposure to heat stress.FindingsThe paper indicates that considering changes in future vulnerability of people is important to provide an appropriate information base for enhancing urban resilience through risk-informed urban planning. This can help cities to define priority areas for future urban development and to consider the socio-economic and demographic composition in their strategies.Originality/valueThe value of the research study lies in implementing new qualitative and quantitative scenario approaches for human exposure and vulnerability to strengthen risk-informed decision-making.

Publisher

Emerald

Subject

Public Health, Environmental and Occupational Health,Management, Monitoring, Policy and Law,Health(social science)

Reference33 articles.

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2. biregio and The City of Ludwigsburg (2017), “Population scenarios for the City of Ludwigsburg and its districts”, available at: https://ksis.ludwigsburg.de/SASVisualAnalyticsViewer/VisualAnalyticsViewer_guest.jsp?reportPath=%2FKSIS%2FStatistik%20und%20Indikatoren%2F&reportName=Bev%C3%B6lkerungsprognose_2017 (accessed 2 August 2018).

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