Emergency response training and provision of emergency response kits to Rohingya community leaders: an approach to local disaster risk reduction and community resilience

2018 ◽  
Vol 36 (4) ◽  
pp. 255-256
Author(s):  
Mir Saaduddin Ahmad ◽  
Najeeb Rahman
Keyword(s):  
Risk Reduction ◽  
Emergency Response ◽  
Disaster Risk Reduction ◽  
Community Resilience ◽  
Disaster Risk ◽  
Community Leaders ◽  
Response Training ◽  
Emergency Response Training

scholarly journals Toward a community resilience framework for disaster risk management. a case study: landslide Cisolok in Sukabumi 2018 and Sunda strait tsunami in Pandeglang 2018

2020 ◽  
Vol 156 ◽  
pp. 01011
Author(s):  
Osmar Shalih ◽  
Hafid Setiadi ◽  
Triarko Nurlambang ◽  
Widyawati Sumadio
Keyword(s):  
Social Capital ◽  
Risk Reduction ◽  
Conceptual Model ◽  
Disaster Risk Reduction ◽  
Belief Systems ◽  
Community Resilience ◽  
Disaster Risk ◽  
Disaster Resilience ◽  
Social Dimensions ◽  
Spatial Resilience

Along with the increase in large and medium-scale disasters in the world, including in Indonesia, in the last decade, many theories and practices have developed in terms of measuring and improving disaster resilience. This study discusses the conceptual model of community-level disaster resilience and disaster risk reduction. Using a basic conceptual model for spatial protection to geological hazard, research examines the role of community resilience in reducing risk by using social dimensions. To explore the conceptual model of spatial resilience at the community scale, case studies conducted in two disaster events, are (1) communities affected by landslides in Cisolok, Sukabumi District on 31 December, 2018 and (2) Sunda Strait tsunami in Pandeglang tourism area on 22 December, 2018. Research suggests that the importance of social capital in terms of forming community resilience is related to disaster risk reduction. Social network, social experience, social knowledge and belief systems, contribute to increasing resilience and disaster risk reduction. The results of this study are the importance of building social capital and spatial resilience of communities in reducing disaster risk.

Natural disasters, mitigation investment and financial aid

2016 ◽  
Vol 21 (5) ◽  
pp. 603-625
Author(s):  
Rainer Andergassen ◽  
Luigi Sereno
Keyword(s):  
Natural Disasters ◽  
Financial Aid ◽  
Risk Reduction ◽  
Emergency Response ◽  
Disaster Risk Reduction ◽  
Optimal Investment ◽  
Disaster Risk ◽  
Optimal Timing ◽  
Investment Size ◽  
Financial Insurance

AbstractWe consider firms facing the risk of natural disasters and study their problem of investing in mitigation if financial insurance is not available. The firms' problem is to choose the optimal timing and size of the investment. The timing problem leads to a critical productivity size where firms above it invest in mitigation while firms below the threshold decide to not invest. We investigate how cash aid such as emergency response, and in-kind aid such as reconstruction, rehabilitation or disaster risk reduction investments, affect the critical productivity threshold and the optimal investment size and characterize the international donor's optimal charity strategy.

scholarly journals The framing of decision making support systems on increasing community resilience in disaster risk reduction efforts: a conceptual approach

2021 ◽  
Vol 331 ◽  
pp. 04012
Author(s):  
Putranesia Thaha ◽  
Febrin Anas Ismail
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Support Systems ◽  
Regulatory System ◽  
Community Resilience ◽  
Disaster Risk ◽  
Governance System ◽  
Conceptual Approach

This research begins by comprehensively exploring previous research related to community resilience and what steps are used to increase community resilience in reducing disaster risk. Conceptually, it is known that the fatigue model accumulated by the time system, infrastructure system, governance system, regulatory system, and hazard system for disaster risk reduction is often associated with weakening community resilience. It is often associated with catastrophic events, which are sometimes predictable and unpredictable. In manual decision-making, people are aware of the inconsistency of subjective decisions. A decision support system hypothesizes that it will take less time to explore data to make faster and more informed decisions. As a result of this concept, it is possible to reduce the number of wrong choices when dealing with disaster risk reduction issues. In terms of disaster risk reduction, the power of decision support systems is discussed in this paper to find a framework for its effectiveness as relative decision making will differ on different dimensions of Resilience.

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