Sentence examples for disaster decision making from inspiring English sources

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This article redirects attention to the key concern of family dynamics in disaster decision making, and uses a unique dyadic interview approach to investigate the importance of intra-household dynamics and gender dynamics when assessing household decision making regarding natural hazard preparedness.

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This talk will describe how Cloud to Street uses satellite data to fill critical gaps in disaster decision-making in the developing world.

3. Include your employees in disaster decision-making.

After the event, we analyzed the processes involved in the post-disaster decision-making and organizational processes by asking the authorities the questions listed in Table 1.

Several studies found that perceived risk was a primary factor in disaster relocation/evacuation decision making (Baker 1991; Whitehead et al. 2000; Stein et al. 2010; Huang et al. 2012).

This section presents a simple descriptive statistical analysis of the variables involved in the models then builds empirical econometric models to explore the mechanism of influence of risk perception and sense of place in the disaster preparedness decision making of farming households.

This is because recovery from disasters requires immediate decision making which can result on less efficient use of investment to the economy.

When people, who belong to vulnerable populations, including individuals with disabilities, participate in decision making, disaster risk reduction activities can take place in anticipation of disaster, not simply in reaction to it.

Many barriers to disaster information collection and decision making still remain for foreign populations both in Japan and in other disaster-prone countries with more diverse populations.

Ideally, such disaster risk management (DRM) decision making is performed in an iterative fashion that allows for continuous learning and course correction as new information becomes available (IPCC 2007).

The results can be used as references in future disaster alert systems, disaster-prevention decision-making, and the assessment of disaster effects (Peñuelas and Filella 2001).

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