scholarly journals Risk-Layering for Indirect Effects

Author(s):  
Stefan Hochrainer-Stigler ◽  
Karina Reiter

AbstractEnvironmental risks are one of the greatest threats in the twenty-first century. Especially in the last years, the cascading impacts and risks associated with such events have received great attention as economic losses and consequences have mounted in their wake. As concerns about these ripple effects are rising, strategies to prevent and manage indirect risks are in urgent demand. However, such effects are currently barely considered in most countries and can seriously threaten global agendas such as achieving the Sustainable Development Goals by 2030 or the targets set out in the Sendai Framework for Disaster Risk Reduction 2015−2030. We discuss how the concept of risk-layering, which, though already applied in disaster risk management, could be expanded to include indirect effects. We point out some of the benefits, limitations, and ways forward for using this approach. To do so, we first delineate the transition of the risk-layering concept, which originated from the insurance industry, from its original use to its application in a wider context. We bring special focus to the application of risk-layering in disaster risk management and identify strategies that allow for the inclusion of indirect risks. Our main suggestion is that, while a probabilistic approach is appropriate for evaluating direct risks, a focus on connectedness is appropriate for indirect risks, which still allows for an easy link to direct risk-layering. This, so we argue, facilitates more comprehensive risk management systems apt to deal with the multi-dimensional challenges ahead.

2021 ◽  
pp. 183-203
Author(s):  
Yairen Jerez Columbié

AbstractDeveloping resilience in conditions of extreme geographic and economic vulnerability, Small Island Developing States (SIDS) have learned to share what works for adaptation on the ground through transnational Disaster Risk Reduction initiatives that address the Sustainable Development Goals (SDGs). This chapter focuses on South-South Cooperation between Caribbean SIDS on Climate Change Adaptation and Disaster Risk Management, as well as triangulation with the European Union and international organisations through the African, Caribbean and Pacific-European Union Natural Disaster Risk Reduction (ACP-EU NDRR) Program. It critically analyses collaborations between regional platforms to show evidence of successful transferable adaptation strategies and tools that have emerged from disaster risk management experiences. Acknowledging the SIDS’ contribution to climate change adaptation is key for advancing both research and action. The examples of South-South cooperation between SIDS and triangulation with Europe and international organisations addressed in this chapter show that a coherent and effective theoretical framework for impactful adaptation research and global climate action should bring forward participatory, transdisciplinary and translocal perspectives informed by the experiences of early adaptors in the Global South.


2021 ◽  
Vol 12 (2) ◽  
pp. 52-73
Author(s):  
Edward KURWAKUMIRE ◽  
◽  
Shelter KUZHAZHA ◽  
Paul MUCHECHETERE ◽  
◽  
...  

Disaster Risk Management requires up-to-date land information availed through the cadastre. Informal settlements are often located in disaster prone areas. Having up-to-date land information about these informal settlements is one step towards disaster preparedness and building community resilience in the highway towards sustainable development. This study designs conceptual models using unified modelling language (UML) for an informal cadastre for recording land information pertinent to disaster risk management based on a South African case study. The results demonstrate that land tenure relationships in informal settlements can be mapped using the Social Tenure Domain Model (STDM). The importance of disaster information is that it provides communities with information to tackle disasters and improve in their capabilities to handle them. With such information, the disaster risk can be minimised. This study is aligned to Sustainable Development Goals (SDGs) 1 and 3. The linkage between spatial data, disaster resilience and the SDGs is explored.


2014 ◽  
Author(s):  
Bárbara Montoro ◽  
Pedro Ferradas ◽  
Miguel Muñoz ◽  
Douglas Azabache ◽  
Orlando Chuquisengo ◽  
...  

2016 ◽  
Vol 20 (7) ◽  
pp. 759-786 ◽  
Author(s):  
Chung-Hung Tsai ◽  
Shu-Chuan LinLiu

2021 ◽  
Vol 13 (3) ◽  
pp. 1366
Author(s):  
Stefan Greiving ◽  
Leonie Schödl ◽  
Karl-Heinz Gaudry ◽  
Iris Katherine Quintana Miralles ◽  
Benjamín Prado Larraín ◽  
...  

In Chile and Ecuador, multiple hazards and dynamic processes in vulnerability pose a high risk. Spatial planning and emergency management can contribute to disaster risk management but they follow different goals. However, global goals, such as from UN-ISDR (United Nations International Strategy for Disaster Risk Reduction) and UN SDGs (Sustainable Development Goals) can potentially support cities and regions in defining concerted action. This paper aims at measuring the performance of Chile and Ecuador in regard to the aforementioned policy goals. Although both countries show considerable progresses in the implementation of the UN strategies, it is doubtful that the existing global monitoring approach is appropriately designed for measuring the real situation on the ground. Our paper is based on a desktop research combined with stakeholder workshops and expert interviews. Overall, both countries made considerable progress in regard to disaster preparedness and monitoring. However, multi-risks are rarely considered and there is still increasing vulnerability due to the expansion of informal settlements. The risk management is characterized by an imbalanced distribution of financial resources and institutional capacities between the metropolitan regions and smaller municipalities, and by low public participation and hardly community-based approaches. The paper underlines the importance for more qualitative, in-depth studies on the root causes of disaster risk which could complement the global monitoring which is very much focused on quantitative data and shows inconsistency between input and output indicators.


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