dc.contributor.author | Balboa Marras, Adriana | |
dc.contributor.author | Cuesta Jiménez, Arturo | |
dc.contributor.author | González Villa, Javier | |
dc.contributor.author | Ortiz Romero, Gemma | |
dc.contributor.author | Alvear Portilla, Manuel Daniel | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2023-11-15T16:03:18Z | |
dc.date.available | 2023-11-15T16:03:18Z | |
dc.date.issued | 2023-12 | |
dc.identifier.issn | 0379-7112 | |
dc.identifier.issn | 1873-7226 | |
dc.identifier.other | PID2019-106025RB-100 | es_ES |
dc.identifier.other | TED2021-132410B-I00 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10902/30698 | |
dc.description.abstract | The 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.sponsorship | This 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.extent | 8 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier Limited | es_ES |
dc.rights | Attribution-NonCommercial 4.0 International | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
dc.source | Fire Safety Journal, 2023, 141, 103954 | es_ES |
dc.subject.other | Human behaviour | es_ES |
dc.subject.other | Evacuation | es_ES |
dc.subject.other | Decision-making | es_ES |
dc.subject.other | Fire alarm | es_ES |
dc.subject.other | Logistic regression | es_ES |
dc.subject.other | Response patterns | es_ES |
dc.title | Online experiments and regression analysis of evacuation decisions in response to fire alarms | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1016/j.firesaf.2023.103954 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.1016/j.firesaf.2023.103954 | |
dc.type.version | publishedVersion | es_ES |