Persona:
González Gaya, Cristina

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ORCID
0000-0001-8668-4682
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González Gaya
Nombre de pila
Cristina
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2023 - 20253
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Autor: Fuentes Bargues, José Luis ×

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Mostrando 1 - 3 de 3
  • Miniatura
    Publicación
    Descriptive analysis and a proposal for a predictive model of fatal occupational accidents in Spain
    (Elsevier, 2023) Fuentes Bargues, José Luis; Sánchez Lite, A.; González Gaya, Cristina; Artacho Ramírez, M.A.
    Accidents at work are a problem in today’s economic structures, but if they result in the loss of human lives, the economic and social cost is even higher. The development of prevention policies, both at governmental and sectoral level, has led to a progressive reduction of occupational accidents, but number of fatal accidents remain high. The aim of this study is to explore the evolution of fatal accidents at work in Spain for the period 2009–2021, analyse the relationship between the main variables, and propose a predictive model of fatal occupational accidents in Spain. Data for this study are collected from occupational accident reports via the Delt@ (Electronic declaration of injured workers) IT system. The study variables were classified into five groups: temporal, personal, business, circumstances, and consequences. Fatal accidents at work are more common in males and in older workers, especially in workers between 40 and 59 years old. Companies with less than five workers have the highest percentage of fatal accidents, and the transport subsector and that the worker is carrying out his/her usual work have a strong correlation in the fatal accidents. Results can help to the agents involved in the health and safety management to develop preventive measures, and action plans.
  • Miniatura
    Publicación
    Estimating Maximum Dwell Time for Firefighting Teams Based on Ambient Temperature and Radiant Heat Exposure
    (MDPI, 2025-02-25) Ballesteros Álvarez, Jesus Manuel; Villena Escribano, Blasa María; Fuentes Bargues, José Luis; González Gaya, Cristina; Romero Barriuso, Álvaro
    This research presents a scientifically grounded model designed to enhance the safety protocols for firefighting teams during fire intervention scenarios. The model estimates the maximum allowable exposure duration based on ambient temperature and radiant heat, employing data captured by thermal imaging cameras, which provide real-time measurements of infrared radiation emitted by fire-affected zones. Utilising the Stefan–Boltzmann law to quantify radiative heat transfer and Probit vulnerability analysis to assess thermal risk, critical temperature thresholds and corresponding exposure durations were determined. The results indicate that the maximum permissible ambient temperature for firefighting interventions is 263 °C, with a safe exposure duration of 26 s under these thermal conditions. This approach underscores the significance of ambient temperature as a pivotal parameter in risk assessment and intervention strategy development. Furthermore, the model’s applicability extends to other high-risk environments, including industrial operations, providing a robust and versatile framework for safety management. These findings contribute to advancing evidence-based protocols that mitigate injury risks, safeguard firefighting personnel, and optimise operational decision-making during emergencies.
  • Miniatura
    Publicación
    Analysis of occupational accidents in the construction metal products manufacturing subsector in Spain: Trends and risk factors
    (Springer, 2025-11-03) Fuentes Bargues, José Luis; Sánchez Lite, Alberto; Geijo Barrientos, José Manuel; Romero Barriuso, Álvaro; Villena Escribano, Blasa María; González Gaya, Cristina
    Research on work accidents is important to determine the causes of occupational accidents to effectively prevent them in the future and improve workplace safety. This study aims to analyse the evolution of accidents in the metal products manufacturing subsector for construction (CNAE subsector 251) in Spain for the period 2009–2022 to classify accidents into different operational profiles. This will facilitate the proposal of specific preventive measures based on the severity and characteristics of each accident. Data for this study are collected from occupational accident reports via the Delt@ (Electronic declaration of injured workers) IT system. The study variables were classified into five groups: temporal, personal, business, circumstances, and consequences. Accidents at work are more common in males and in middle-aged workers (30–59 years). Companies with less than five workers, works outside the usual workplace and workers with less three months of length of the service in the company present high accident rate, both in light as fatal accidents. A semi-supervised model has been developed using the Fuzzy Cluster algorithm that can detect serious accidents with a recall rate of approximately 64% and group them into three distinct categories. This makes it possible to propose specific preventive measures for each category, of which there are 12 in total.