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Evacuation dynamics: a modeling and visualization framework

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Abstract

Evacuation mock drills are critical to emergency preparedness and to stress test the infrastructure capacity. Even though drills are expensive in terms of the involved resources, recognizing critical points of the infrastructure can guide decisions to improve the dynamics during a real evacuation, resulting in saving lives. In this paper, we present a modeling and visualization framework that provides useful insight and information of the evacuation dynamics to the decision makers of complex facilities. Using an optimization-based simulation approach, the framework recreates real evacuation scenarios, provides useful statistics of the evacuation dynamics, and allows for what-if analyses. To do so, our framework solves multiple linear optimization models with an underlying network structure that models the topography and resources of the given facility. A dual analysis of the optimization model allows us to identify critical points during an evacuation. In addition, the framework integrates with geographical information systems to produce rich visualizations of the evacuation dynamics. To illustrate the application of this framework, we evaluate two real evacuation scenarios on a university campus, located in Bogotá (Colombia), and provide insight to improve the decisions taken by the campus administration.

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Acknowledgements

The authors would like to thank Maurix Suárez, Campus Director of Universidad de los Andes, for providing information and for guiding the modeling process at earlier stages of the development. The authors would like to thank Esau Duarte, from the Occupational Health Department at Universidad de los Andes, for allowing us to attend the evacuation exercises with the purpose of validating our model followed by some key discussions. Finally, the authors would like to thank Professors Dario Correal and Germán Bravo, from the Computing Engineering Department at Universidad de los Andes, for their feedback on the framework architecture and GIS, respectively. The authors are grateful for the funding received from the Research Office at Universidad de los Andes.

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Correspondence to Andrés L. Medaglia.

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Notation tables

Notation tables

See Tables 2, 3, 4 and 5.

Table 2 Notation table for the static network
Table 3 Notation table for the dynamic network
Table 4 Notation table for the optimization model
Table 5 Notation table for the optimization-based simulation model

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Huertas, J.A., Duque, D., Segura-Durán, E. et al. Evacuation dynamics: a modeling and visualization framework. OR Spectrum 42, 661–691 (2020). https://doi.org/10.1007/s00291-019-00548-x

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  • DOI: https://doi.org/10.1007/s00291-019-00548-x

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