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dc.contributor.authorBalboa Marras, Adriana 
dc.contributor.authorCuesta Jiménez, Arturo 
dc.contributor.authorGonzález Villa, Javier 
dc.contributor.authorOrtiz Romero, Gemma 
dc.contributor.authorAlvear Portilla, Manuel Daniel 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-11-15T16:03:18Z
dc.date.available2023-11-15T16:03:18Z
dc.date.issued2023-12
dc.identifier.issn0379-7112
dc.identifier.issn1873-7226
dc.identifier.otherPID2019-106025RB-100es_ES
dc.identifier.otherTED2021-132410B-I00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/30698
dc.description.abstractThe stay/go decisions of people involved in fire incidents are crucial for safety. However, the factors that influence these decisions remain unclear. To address this issue, online experiments were conducted to explore the responses of individuals (n =1.807) to fire alarms under various conditions. Responses were analysed using binary logistic regression. The results showed that being in an enclosed environment and observing others leaving contributed to the decision to evacuate, whereas observing others remaining hindered individuals from evacuating. Additionally, older individuals were less likely to evacuate than younger individuals. Higher education levels increased the decision to evacuate. Gender, occupation, fitness level, experience, and previous training were not found to be significant factors. The study also confirmed that the presence of loved ones greatly increases the likelihood of deciding to evacuate. This study provides knowledge on how environmental and personal characteristics affect the evacuation decision-making process.es_ES
dc.description.sponsorshipThis work was funded by the Spanish Ministry of Science and Innovation and the Spanish State Research Agency in the frame of the project ‘TRACES: UNDERSTANDING HUMAN BEHAVIOUR IN CASE OF TERRORISM ATTACKS IN MASS GATHERING BUILDINGS’ PID2019- 106025RB-100/AEI/10.13039/501100011033, within the 2019 call for R+D+I Projects in the framework of the State Program for Knowledge Generation and Scientific and Technological Strengthening for the R+D+I system and the Challenges of Society, under the State Plan for Scientific and Technical Research and Innovation 2017–2020 – ‘R+D+I Projects’, and by the Spanish Ministry of Science and Innovation (MCIN/ AEI/10.13039/501100011033) and the European Union (NextGenerationEU/PRTR) in the frame of the project ‘RAPPID’ TED2021- 132410B-I00. The authors would like to acknowledge their support.es_ES
dc.format.extent8 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevier Limitedes_ES
dc.rightsAttribution-NonCommercial 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceFire Safety Journal, 2023, 141, 103954es_ES
dc.subject.otherHuman behavioures_ES
dc.subject.otherEvacuationes_ES
dc.subject.otherDecision-makinges_ES
dc.subject.otherFire alarmes_ES
dc.subject.otherLogistic regressiones_ES
dc.subject.otherResponse patternses_ES
dc.titleOnline experiments and regression analysis of evacuation decisions in response to fire alarmses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.firesaf.2023.103954es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.firesaf.2023.103954
dc.type.versionpublishedVersiones_ES


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Attribution-NonCommercial 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial 4.0 International