Disaster Risk Reduction Towards Community Resilience: Empirical Model of Decision-Making Process Through Stop Disaster Game

2021 ◽  
pp. 351-370
Author(s):  
Tri Mulyani Sunarharum ◽  
Hilya Mudrika Arini ◽  
Indah Sepwina Putri
Keyword(s):  
Decision Making ◽  
Risk Reduction ◽  
Empirical Model ◽  
Disaster Risk Reduction ◽  
Community Resilience ◽  
Disaster Risk ◽  
Decision Making Process

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.

Networks of Action in Catastrophic Events: The 11 March 2011 Tohoku-Oki Disasters

2013 ◽  
Vol 29 (1_suppl) ◽  
pp. 387-402 ◽  
Author(s):  
Louise K. Comfort ◽  
Aya Okada ◽  
Gunes Ertan
Keyword(s):  
Decision Making ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Nuclear Reactor ◽  
Organizational Management ◽  
Disaster Risk ◽  
Catastrophic Events ◽  
Natural Systems ◽  
Policy Problem ◽  
Planning Processes

The 11 March 2011 Tohoku-oki, Japan, earthquake, tsunami, and nuclear reactor disasters shattered existing plans for decision making, preparedness, and response operations under conditions of uncertainty and risk. The interaction among these events created dynamics that could not be addressed by any single organization or jurisdiction alone and that had not been considered in the planning processes undertaken by separate jurisdictions and organizations. The scale and scope of devastation overwhelmed those responsible for protecting communities at every level of jurisdictional decision making and organizational management. We examine the policy problem of decision making involving interaction between human and natural systems, and review existing policies, plans, and practices that characterized efforts in disaster risk reduction in Japan prior to 11 March 2011. We contrast these plans with observed practices, focusing on interactions and communication flows among organizations engaged in responding to the disaster. These events demonstrate the compelling need to rethink catastrophe.

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.

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