Top ten knowledge DB entries related to Methodological Lessons Learned are listed below.
State Mandate Influences on FEMA-Approved Hazard-Mitigation Plans Under the Disaster Management Act of 2000.
Summary

Not all parts of the comparison can be generalized

Supporting community emergency management planning through a geocollaboration software architecture.
Summary

Geocollaboration tools can be developed that support community-wide emergency management planning and preparedness.

A dynamic decision support system based on geographical information and mobile social networks: A model for tsunami risk mitigation in Padang, Indonesia.
Summary

The proposed has potential to support evacuation strategies and real-time guidance of communities at risk during disaster.

A Procedural Construction Method for Interactive Map Symbols Used for Disasters and Emergency Response.
Summary

First, to date, the graphics, control points, and source points are created by user interaction, making it difficult to perform a quantitative analysis based on these symbols, and there is a need to link the construction process with quantitative calculation-oriented rules to simplify the construction process and make the representation of symbols more reasonable. Second, the interactive modes of symbols are freely designed by experience or consultation with domain experts, but each symbol has a specific meaning, and the editing mode of each symbol may be linked to a standard interactive mode according to its specific meaning, to improve the efficiency and standardization of the line (area) map symbol interaction.

Multi-objective evacuation routing optimization for toxic cloud releases.
Summary

The use of the multi-objective optimization allows for the evaluation of each and every possible solution to both sets of criteria, i.e. individual risks and time costs. Furthermore, the use of Pareto optimal set approach avoids subjective judgments and value trade-offs until the very late stage of the optimization procedure. Major subsets of the optimum solution may be discarded without much debate among stakeholders (for example, solutions implying higher risk with minimal decrease in travel time).

Resource-Poor Settings: Response, Recovery, and Research: Care of the Critically Ill and Injured During Pandemics and Disasters: CHEST Consensus Statement.
Summary

Future improvements in all phases require active research activities.

Cross-domain integrating and reasoning spaces for offsite nuclear emergency response.
Summary

For the restrictions in experimental conditions, in this paper, we only consider some ideal disaster scenarios, integration demand, and focus on the principal study, example analysis and reasoning experiment.

Geotagging Twitter Messages in Crisis Management.
Summary

In addition, data resources such as Flickr, Facebook and Youtube as the feeder for OzCrisisTracker 2.0 will also take into account and the OzCT geotagger is expected to geotag such complex multimedia messages with some further development in analysing multimedia messageswe believe that presented semantic annotation of tweets in this research that utilizes existing and new ontologies, can be used for conceptual analysis of tweets content and will resolve the ambiguity of tweet locations to significantly improve the geotagger performance

Towards a Holistic Framework for the Evaluation of Emergency Plans in Indoor Environments.
Summary

As observed above, the study of the simulation GUIis worthy. Nevertheless, the GUI tends to disappear for the evaluation in simulation research [12]. As a result, batch experiments are employed to obtain general conclusions of the emergency plan being tested.The framework has noted the necessity of: (1) including modules that formalize the concepts involved in the remaining modules by using semantic web technologies; (2) offering abstract models prior to the implementation without specific programming language constraints by employing the agent-based simulation paradigm; and, when implementing these models; (3) giving an open and highly modularized source code to enhance its reuse and extension in the context of a service-oriented architecture.

Context-based automatic reconstruction and texturing of 3D urban terrain for quick-response tasks.
Summary

However, this procedure for reconstructing roofs has problems if there are many flat roofs and many outliers in the data.

 

 

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