Publication:
A support tool for individual decision-making during hurricanes

dc.contributor.advisor Cabrera Ríos, Mauricio
dc.contributor.author Díaz Pacheco, Verónica
dc.contributor.college College of Engineering en_US
dc.contributor.committee Richardson, Thomas
dc.contributor.committee Whalin, Robert
dc.contributor.committee Pomales García, Cristina
dc.contributor.department Department of Industrial Engineering en_US
dc.contributor.representative Colón Reyes, Omar
dc.date.accessioned 2021-06-02T13:49:11Z
dc.date.available 2021-06-02T13:49:11Z
dc.date.issued 2021-05-12
dc.description.abstract Las decisiones que los individuos deben tomar ante la llegada de eventos atmosféricos como los huracanes pueden hacer la diferencia en si sobreviven o no. En condiciones de falta de información, estrés e incertidumbre, la toma de decisiones puede volverse no solo abrumadora sino peligrosa. En este trabajo, desarrollamos una herramienta de apoyo para ayudar a guiar la toma de decisiones de las personas durante un desastre por huracán. El trabajo se desarrolló en dos etapas. Primero, una evaluación de los sentimientos de las personas hacia el huracán María, un evento meteorológico desastroso que devastó la isla de Puerto Rico en septiembre de 2017. En segundo lugar, proponemos la herramienta: una adaptación del modelo de inventario clásico para representar el bienestar de las personas en función de su toma de decisiones durante una emergencia por huracán. La primera contribución de este trabajo es el conocimiento descubierto a partir del análisis de la encuesta. El segundo es el desarrollo de un enfoque novedoso para diseñar una herramienta para la toma de decisiones de los individuos durante emergencias. en_US
dc.description.abstract The decisions that individuals have to make in the advent of atmospheric events such as hurricanes can make a difference in whether they survive or not. Under conditions of lack of information, stress, and uncertainty, decision-making can become not only daunting but dangerous. In this work, we develop a support tool to help guide individuals’ decision-making during a hurricane disaster. The work occurred in two stages. First, an assessment of individuals’ reactions towards Hurricane María, a disastrous weather event that devastated the island of Puerto Rico in September 2017. Secondly, we propose the tool: an adaptation of the classic inventory model to represent individuals’ wellness as a function of their decision-making during a hurricane emergency. The first contribution of this work is the knowledge discovered from the survey analysis. The second is the development of a novel approach to designing a tool for individual decision-making during emergencies. en_US
dc.description.graduationSemester Spring en_US
dc.description.graduationYear 2021 en_US
dc.description.sponsorship This research was performed under an appointment to the U.S. Department of Homeland Security (DHS) Science & Technology (S&T) Directorate Office of University Programs Summer Research Team Program for Minority Serving Institutions, administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy (DOE) and DHS. ORISE is managed by ORAU under DOE contract number DE-SC0014664. All opinions expressed in this paper are the author’s and do not necessarily reflect the policies and views of DHS, DOE or ORAU/ORISE. en_US
dc.identifier.uri https://hdl.handle.net/20.500.11801/2767
dc.language.iso en en_US
dc.rights.holder (c) 2021 Verónica Díaz Pacheco en_US
dc.subject Hurricane Maria en_US
dc.subject Decision support en_US
dc.subject Well-being en_US
dc.subject Hurricane response behavior en_US
dc.subject Wellness during emergencies en_US
dc.subject.lcsh Hurricane Maria, 2017 en_US
dc.subject.lcsh Well-being -- Hurricane effects en_US
dc.subject.lcsh Human beings -- Decision making en_US
dc.subject.lcsh Human behavior -- Psychological aspects en_US
dc.subject.lcsh Hurricanes -- Puerto Rico en_US
dc.title A support tool for individual decision-making during hurricanes en_US
dc.type Thesis en_US
dspace.entity.type Publication
thesis.degree.discipline Industrial Engineering en_US
thesis.degree.level M.S. en_US
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