RT info:eu-repo/semantics/doctoralThesis
T1 Study of evacuation drills through data collection, dimensional analysis, statistical regression, and IoT technologies
A1 Miñambres del Moral, María Dolores
A2 Universidad de Valladolid. Escuela de Doctorado
K1 Simulacro
K1 Evacuation drill
K1 Simulacro evacuación
K1 Dimensional analysis
K1 Análisis dimensional
K1 33 Ciencias Tecnológicas
AB Let's imagine the evacuation sirens go off, how soon would we all be out of the building? It will depend how many we are, 1000 people or maybe just 200? It will also depend on the dimensions and design of the building, and above all on how we behave. I mean, the time to assimilate that we have to leave, decide to leave, perhaps delayed by picking something up, waiting for or convincing someone, and other issues that make the exit longer. In other words, it is a system with many components that interact with each other.The foundations of evacuation modeling were established in the 1970s and 80s, these being an analytical breakdown of the total time when carrying out an evacuation taking into account the different issues that could influence each of the defined components.  All these aspects were of increasing complexity and began to be studied with the help of computer simulations. Computer simulations are very helpful, but require a large amount of resources to carry them out. They do not avoid the need to carry out evacuation drills and do not allow comparisons between evacuations of different buildings.This Ph.D. thesis proposes a different approach, from a holistic view, of a system as a whole, where each building is a black box characterized by a dimensionless parameter that allows different buildings to be differentiated. The building is the independent variable of the system, while the ratio of evacuation time to people evacuated will be the dependent variable. In this way, the evacuations of different buildings can be compared.One great difficulty concerning the study and research of evacuations is to collect enough data, both quantitative and qualitative. In this Ph.D. thesis, data have been collected from evacuation drills at the University of Valladolid for 10 years. In addition, a new indoor positioning system is proposed to facilitate the collection of future data that could be used to feed both the model proposed by this thesis, and to validate other study models. This Ph.D. thesis offers an unprecedented approach to be able to compare the evacuations of different buildings, taking into account their most relevant characteristics for the evacuation, which until now had not been possible. The theoretical approach is supported by the historical data collected, and by data published by other authors. Furthermore, it also offers a viable solution for collecting more evacuation data using indoor positioning technologies.
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/59820
UL https://uvadoc.uva.es/handle/10324/59820
LA eng
NO Escuela de Doctorado
DS UVaDOC
RD 26-jun-2024