By Ilias S. Kotsireas, Anna Nagurney, Panos M. Pardalos
This quantity effects from the “Second foreign convention on Dynamics of mess ups” held in Kalamata, Greece, June 29-July 2, 2015. The convention lined specific themes eager about common and man-made failures corresponding to conflict, chemical spills, and wildfires. Papers during this quantity learn the finer issues of mess ups through:
- Critical infrastructure protection
- Humanitarian logistic
- Relief provide chains
- Cooperative video game theory
- Dynamical systems
- Decision making less than hazard and uncertainty
- Spread of diseases
- Funding for catastrophe relief
- Tools for emergency preparedness
- Response, and chance mitigation
Multi-disciplinary theories, instruments, suggestions and methodologies are associated with mess ups from mitigation and preparedness to reaction and restoration. The interdisciplinary method of difficulties in economics, optimization, executive, administration, enterprise, humanities, engineering, medication, arithmetic, desktop technological know-how, behavioral stories, emergency companies, and environmental reviews will interact readers from a wide selection of fields and backgrounds.
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Extra info for Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights: Kalamata, Greece, June–July 2015
To model the SARP, let N represent the set of sites in the affected region. There are K teams (vehicles); each team k 2 K departs from the origin node f0g and returns back to the origin node after completing visits to the sites. Let N0 D N [ f0g. The travel time between nodes is represented by tij 8i; j 2 N0 . Each vehicle is allowed to travel at most Tmax time units. Let C denote the set of critical characteristics of interest. A coverage parameter ˛ic is defined, which takes the value 1 if node i 2 N carries characteristic c 2 C, and 0 otherwise.
Also, visiting sites that are similar to each other in terms of regional and/or community characteristics may not lead to new information that would contribute to assessment findings. In practice, two sampling methods are typically used to select sites during the rapid need assessment stage (IFRC, 2008). In random sampling, sites to be visited are selected randomly, which may be reasonable if different community groups are expected to be affected by the disaster similarly. However, random sampling may not lead to accurate assessments if the community needs change throughout the affected region.
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Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights: Kalamata, Greece, June–July 2015 by Ilias S. Kotsireas, Anna Nagurney, Panos M. Pardalos