This page has only limited features, please log in for full access.

Unclaimed
Miguel Mariscal
Departamento de Ingeniería de Organización, Universidad de Burgos, 09006 Burgos, Spain

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 04 July 2021 in Sustainability
Reads 0
Downloads 0

Roundabouts are considered as one of the most efficient forms of intersection that substantially reduce the types of crashes that result in injury or loss of life. Nevertheless, they do not eliminate collision risks, especially when human error plays such a large role in traffic crashes. In this study, we used a driving simulator and an eye tracker to investigate drivers’ eye movements under cell phone-induced distraction. A total of 45 drivers participated in two experiments conducted under distracted and non-distracted conditions. The results indicated that, under distracting conditions, the drivers’ fixation duration decreased significantly on roundabouts, and pupil size increased significantly.

ACS Style

Amin Azimian; Carlos Catalina Ortega; Juan Espinosa; Miguel Mariscal; Susana García-Herrero. Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study. Sustainability 2021, 13, 7463 .

AMA Style

Amin Azimian, Carlos Catalina Ortega, Juan Espinosa, Miguel Mariscal, Susana García-Herrero. Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study. Sustainability. 2021; 13 (13):7463.

Chicago/Turabian Style

Amin Azimian; Carlos Catalina Ortega; Juan Espinosa; Miguel Mariscal; Susana García-Herrero. 2021. "Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study." Sustainability 13, no. 13: 7463.

Journal article
Published: 04 July 2021 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

Multitasking while driving negatively affects driving performance and threatens people’s lives every day. Moreover, technology-based distractions are among the top driving distractions that are proven to divert the driver’s attention away from the road and compromise their safety. This study employs recent data on road traffic accidents that occurred in Spain and uses a machine-learning algorithm to analyze, in the first place, the influence of technology-based distracted driving on drivers’ infractions considering the gender and age of the drivers and the zone and the type of vehicle. It assesses, in the second place, the impact of drivers’ infractions on the severity of traffic accidents. Findings show that (i) technology-based distractions are likely to increase the probability of committing aberrant infractions and speed infractions; (ii) technology-based distracted young drivers are more likely to speed and commit aberrant infractions; (iii) distracted motorcycles and squad riders are found more likely to speed; (iv) the probability of committing infractions by distracted drivers increases on streets and highways; and, finally, (v) drivers’ infractions lead to serious injuries.

ACS Style

Susana García-Herrero; Juan Febres; Wafa Boulagouas; José Gutiérrez; Miguel Mariscal Saldaña. Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity. International Journal of Environmental Research and Public Health 2021, 18, 7155 .

AMA Style

Susana García-Herrero, Juan Febres, Wafa Boulagouas, José Gutiérrez, Miguel Mariscal Saldaña. Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity. International Journal of Environmental Research and Public Health. 2021; 18 (13):7155.

Chicago/Turabian Style

Susana García-Herrero; Juan Febres; Wafa Boulagouas; José Gutiérrez; Miguel Mariscal Saldaña. 2021. "Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity." International Journal of Environmental Research and Public Health 18, no. 13: 7155.

Journal article
Published: 02 July 2021 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

The use of communication technologies, e.g., mobile phones, has increased dramatically in recent years, and their use among drivers has become a great risk to traffic safety. The present study assessed the workload and road ordinary violations, utilizing driving data collected from 39 young participants who underwent a dual-task while driving a simulator, i.e., respond to a call, text on WhatsApp, and check Instagram. Findings confirmed that there are significant differences in the driving performance of young drivers in terms of vehicle control (i.e., lateral distance and hard shoulder line violations) between distracted and non-distracted drivers. Furthermore, the overall workload score of young drivers increases with the use of their mobile phones while driving. The obtained results contribute to a better understanding of the driving performance of distracted young drivers and thus they could be useful for further improvements to traffic safety strategies.

ACS Style

Carlos Ortega; Miguel Mariscal; Wafa Boulagouas; Sixto Herrera; Juan Espinosa; Susana García-Herrero. Effects of Mobile Phone Use on Driving Performance: An Experimental Study of Workload and Traffic Violations. International Journal of Environmental Research and Public Health 2021, 18, 7101 .

AMA Style

Carlos Ortega, Miguel Mariscal, Wafa Boulagouas, Sixto Herrera, Juan Espinosa, Susana García-Herrero. Effects of Mobile Phone Use on Driving Performance: An Experimental Study of Workload and Traffic Violations. International Journal of Environmental Research and Public Health. 2021; 18 (13):7101.

Chicago/Turabian Style

Carlos Ortega; Miguel Mariscal; Wafa Boulagouas; Sixto Herrera; Juan Espinosa; Susana García-Herrero. 2021. "Effects of Mobile Phone Use on Driving Performance: An Experimental Study of Workload and Traffic Violations." International Journal of Environmental Research and Public Health 18, no. 13: 7101.

Journal article
Published: 05 June 2021 in Sustainability
Reads 0
Downloads 0

Road traffic accidents are currently between the seventh and tenth leading cause of death in the world, with approximately 1.35 million people killed per year. Despite extensive efforts by governments, according to the World Health Organization, road accidents still cause far too many deaths, especially among pedestrians, cyclists and two-wheel motor vehicle riders, who together account for almost 50% of road traffic fatalities. In particular, Spain had 410,974 traffic accidents between 2016 and 2019, involving 722,516 vehicles and 61,177 pedestrians with varying degrees of injury. This study uses the Bayesian network method to understand how the pedestrians’ responsibility and actions at the time of the traffic accident affect the injury suffered by said pedestrian, also considering the variables of the road infrastructure and vehicles at the accident site. The results confirm that the variables linked to the unsafe behavior of pedestrians, and their responsibility in traffic accidents, increase the risk of suffering serious or fatal injuries during an accident; for example, if a pedestrian is distracted this increases his/her probability of suffering a severe injury (27.86%) with respect to not being distracted (20.73%). Conditions related to traffic in high-speed areas, areas with no or poor lighting, and areas lacking sidewalks, also record increases in pedestrian injury, as is the case in the age group of pedestrians over 60 years of age.

ACS Style

Juan Febres; Miguel Mariscal; Sixto Herrera; Susana García-Herrero. Pedestrians’ Injury Severity in Traffic Accidents in Spain: A Pedestrian Actions Approach. Sustainability 2021, 13, 6439 .

AMA Style

Juan Febres, Miguel Mariscal, Sixto Herrera, Susana García-Herrero. Pedestrians’ Injury Severity in Traffic Accidents in Spain: A Pedestrian Actions Approach. Sustainability. 2021; 13 (11):6439.

Chicago/Turabian Style

Juan Febres; Miguel Mariscal; Sixto Herrera; Susana García-Herrero. 2021. "Pedestrians’ Injury Severity in Traffic Accidents in Spain: A Pedestrian Actions Approach." Sustainability 13, no. 11: 6439.

Journal article
Published: 31 October 2020 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

Hearing loss affects hundreds of millions of people all over the world, leading to several types of disabilities, ranging from purely physical to psychological and/or social aspects. A proper analysis to ascertain the main risk factors is essential in order to diagnose early and treat adequately. An exploratory analysis based on a heterogeneous sample of 1418 workers is presented in order to identify the main trigger factors for hearing loss. On the one hand, we recorded several medical and environmental parameters, and on the other, we created a model based on Bayesian networks in order to be able to infer the probability of hearing loss considering different scenarios. This paper focuses on three parameters: gender, age, and a family history of hearing problems. The results obtained allow us to infer or predict the best or worst auditory level for an individual under several different scenarios. The least relevant factor is the existence of a family history of deafness, followed by the gender factor, which slopes considerably toward better hearing for females, and most prominent of all, the age factor, given the large differences identified between the various age groups when the gender and family history of deafness variables remain constant.

ACS Style

Jesús P. Barrero; Eva M. López-Perea; Sixto Herrera; Miguel A. Mariscal; Susana García-Herrero. Assessment and Modeling of the Influence of Age, Gender, and Family History of Hearing Problems on the Probability of Suffering Hearing Loss in the Working Population. International Journal of Environmental Research and Public Health 2020, 17, 8041 .

AMA Style

Jesús P. Barrero, Eva M. López-Perea, Sixto Herrera, Miguel A. Mariscal, Susana García-Herrero. Assessment and Modeling of the Influence of Age, Gender, and Family History of Hearing Problems on the Probability of Suffering Hearing Loss in the Working Population. International Journal of Environmental Research and Public Health. 2020; 17 (21):8041.

Chicago/Turabian Style

Jesús P. Barrero; Eva M. López-Perea; Sixto Herrera; Miguel A. Mariscal; Susana García-Herrero. 2020. "Assessment and Modeling of the Influence of Age, Gender, and Family History of Hearing Problems on the Probability of Suffering Hearing Loss in the Working Population." International Journal of Environmental Research and Public Health 17, no. 21: 8041.

Journal article
Published: 16 September 2020 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

Road traffic plays a vital role in countries’ economic growth and future development. However, traffic accidents are considered a major public health issue affecting humankind. Despite efforts by governments to improve traffic safety, the misalignment between the policy efforts and on-ground infringements, distractions and breaches reflect the regulatory failure. This paper uses the Bayesian network method to investigate unsafe behaviors and traffic accidents involving unlicensed drivers as a perspective for the regulatory alignment assessment. The findings suggest that: (1) unlicensed drivers are more likely to have unsafe driving behaviors; (2) the probability of being involved in a severe traffic accident increases when the drivers are unlicensed and decreases in the case of licensed drivers; (3) young drivers are noticeably more likely to engage in unsafe behaviors, usually leading to serious injuries and deaths, when their driving licenses are invalid; (4) women are more likely to engage in right-of-way violations and to have collisions with no serious injuries, contrary to unlicensed men drivers, who are involved in other types of traffic accidents resulting in serious injuries.

ACS Style

Wafa Boulagouas; Susana García-Herrero; Rachid Chaib; Juan Diego Febres; Miguel Ángel Mariscal; Mébarek Djebabra. An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement. International Journal of Environmental Research and Public Health 2020, 17, 6743 .

AMA Style

Wafa Boulagouas, Susana García-Herrero, Rachid Chaib, Juan Diego Febres, Miguel Ángel Mariscal, Mébarek Djebabra. An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement. International Journal of Environmental Research and Public Health. 2020; 17 (18):6743.

Chicago/Turabian Style

Wafa Boulagouas; Susana García-Herrero; Rachid Chaib; Juan Diego Febres; Miguel Ángel Mariscal; Mébarek Djebabra. 2020. "An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement." International Journal of Environmental Research and Public Health 17, no. 18: 6743.

Research article
Published: 14 August 2020 in Journal of Advanced Transportation
Reads 0
Downloads 0

The aim of this study was to quantify the probability of committing a speed infraction by young drivers and to investigate to what extent listening music could affect young drivers’ emotions as well as their driving performances at the wheel. To achieve this aim, employing Bayesian networks, the study analysed different music styles, in which they resulted in sample drivers’ speed infractions. Gender and drivers’ experiences at the wheel were the other factors, which were taken into account when interpreting the study results. Variables taken into account in this study included type of music whilst driving, gender of drivers, and drivers’ driving experiences. These variables further incorporated into the study of other telemetric variables including acceleration, number of revolutions per minute (RPM) of the engine, brake, traffic, and other types of infractions other than speed, which were considered as dependent variables. A driving simulator was used, and different driving simulation studies were carried out with young people aged between 20 and 28 years. Each participant carried out three simulations by listening to different type of music in each journey. The study defined a conceptual model in which the data were analysed and evaluated mathematically through Bayesian networks. A sensitivity analysis was performed to evaluate the influence of music on driving speed. Based on the different variables, the study further analysed the probability of speed infractions committed by drivers and their adequate speed. The range of frequency probabilities varied between 96.32% (which corresponds to experienced male drivers who do not listen to music) and 79.38% (which corresponds to less-experienced female drivers who listen to music), which resulted in their happiness or aggression.

ACS Style

Carlos A. Catalina; Susana García-Herrero; Elvira Cabrerizo; Sixto Herrera; Santiago García-Pineda; Fatemeh Mohamadi; M. A. Mariscal. Music Distraction among Young Drivers: Analysis by Gender and Experience. Journal of Advanced Transportation 2020, 2020, 1 -12.

AMA Style

Carlos A. Catalina, Susana García-Herrero, Elvira Cabrerizo, Sixto Herrera, Santiago García-Pineda, Fatemeh Mohamadi, M. A. Mariscal. Music Distraction among Young Drivers: Analysis by Gender and Experience. Journal of Advanced Transportation. 2020; 2020 ():1-12.

Chicago/Turabian Style

Carlos A. Catalina; Susana García-Herrero; Elvira Cabrerizo; Sixto Herrera; Santiago García-Pineda; Fatemeh Mohamadi; M. A. Mariscal. 2020. "Music Distraction among Young Drivers: Analysis by Gender and Experience." Journal of Advanced Transportation 2020, no. : 1-12.

Journal article
Published: 10 February 2020 in European Transport Research Review
Reads 0
Downloads 0

Background About 1.35 million people died in traffic accidents around the world in 2018, make this type of accidents the 8th cause of death in the world. Particularly, in Spain, there were 204,596 traffic accidents during 2016 and 2017, out of which 349,810 drivers were injured. The objective of this study was to understand to what extent seat belt non-use and human factors contribute to drivers injury severity. Methodology The results are based on the information and 2016–17 data provided by the Spain national traffic department “Dirección General de Tráfico” (DGT). The discretization model and Bayesian Networks were developed based on important variables from the literature. These variables were classified as; human factor, demographic factor, conditioning factor and seat belt use. Results The results showed that failure to wear the seat belt by drivers are likely to increase the risk of fatal and sever injury significantly. Moreover, distraction and road type road can contribute to the accident severity.

ACS Style

Juan Diego Febres; Susana García-Herrero; Sixto Herrera; J. M. Gutiérrez; J. R. López-García; Miguel A. Mariscal. Influence of seat-belt use on the severity of injury in traffic accidents. European Transport Research Review 2020, 12, 1 -12.

AMA Style

Juan Diego Febres, Susana García-Herrero, Sixto Herrera, J. M. Gutiérrez, J. R. López-García, Miguel A. Mariscal. Influence of seat-belt use on the severity of injury in traffic accidents. European Transport Research Review. 2020; 12 (1):1-12.

Chicago/Turabian Style

Juan Diego Febres; Susana García-Herrero; Sixto Herrera; J. M. Gutiérrez; J. R. López-García; Miguel A. Mariscal. 2020. "Influence of seat-belt use on the severity of injury in traffic accidents." European Transport Research Review 12, no. 1: 1-12.

Journal article
Published: 21 December 2019 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

This study analyses factors associated with cyclist injury severity, focusing on vehicle type, route environment, and interactions between them. Data analysed was collected by Spanish police during 2016 and includes records relating to 12,318 drivers and cyclist involving in collisions with at least one injured cyclist, of whom 7230 were injured cyclists. Bayesian methods were used to model relationships between cyclist injury severity and circumstances related to the crash, with the outcome variable being whether a cyclist was killed or seriously injured (KSI) rather than slightly injured. Factors in the model included those relating to the injured cyclist, the route environment, and involved motorists. Injury severity among cyclists was likely to be higher where an Heavy Goods Vehicle (HGV) was involved, and certain route conditions (bicycle infrastructure, 30 kph zones, and urban zones) were associated with lower injury severity. Interactions exist between the two: collisions involving large vehicles in lower-risk environments are less likely to lead to KSIs than collisions involving large vehicles in higher-risk environments. Finally, motorists involved in a collision were more likely than the injured cyclists to have committed an error or infraction. The study supports the creation of infrastructure that separates cyclists from motor traffic. Also, action needs to be taken to address motorist behaviour, given the imbalance between responsibility and risk.

ACS Style

Rachel Aldred; Susana García-Herrero; Esther Anaya; Sixto Herrera; Miguel Ángel Mariscal. Cyclist Injury Severity in Spain: A Bayesian Analysis of Police Road Injury Data Focusing on Involved Vehicles and Route Environment. International Journal of Environmental Research and Public Health 2019, 17, 96 .

AMA Style

Rachel Aldred, Susana García-Herrero, Esther Anaya, Sixto Herrera, Miguel Ángel Mariscal. Cyclist Injury Severity in Spain: A Bayesian Analysis of Police Road Injury Data Focusing on Involved Vehicles and Route Environment. International Journal of Environmental Research and Public Health. 2019; 17 (1):96.

Chicago/Turabian Style

Rachel Aldred; Susana García-Herrero; Esther Anaya; Sixto Herrera; Miguel Ángel Mariscal. 2019. "Cyclist Injury Severity in Spain: A Bayesian Analysis of Police Road Injury Data Focusing on Involved Vehicles and Route Environment." International Journal of Environmental Research and Public Health 17, no. 1: 96.

Research article
Published: 02 December 2019 in Journal of Advanced Transportation
Reads 0
Downloads 0

Introduction. Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, in 2016, 102,362 traffic injuries took place in Spain in which 174,679 drivers suffered injuries. These findings necessitated the development of the current study which focuses on the prime factors that cause this type of injuries. The aim of this study, therefore, is to explore the behavioral factors that entail a higher risk of suffering either a serious or a fatal injury for drivers. Methods. The findings are based on information and data provided by “Dirección General de Tráfico” (DGT) in Spain on traffic injuries that occurred in the year 2016. Reviewing a wide range of the literature, the authors identified the most influential variables and created a model using the Bayesian networks. The variables that define the model are grouped into four factors: vehicle factor, road factor, circumstantial factor and human factor. Results. The results suggest that the principal variables that determine a higher probability of serious or fatal injuries in traffic injuries are: lack of using appropriate safety accessories, high-speed violations, distractions as well as errors. Finally, the research shows the severity probability based on reason of displacement (“in itinere,” on business, or in leisure).

ACS Style

Juan Diego Febres; Fatemeh Mohamadi; Miguel. A. Mariscal; S. Herrera; Susana García-Herrero. The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach. Journal of Advanced Transportation 2019, 2019, 1 -10.

AMA Style

Juan Diego Febres, Fatemeh Mohamadi, Miguel. A. Mariscal, S. Herrera, Susana García-Herrero. The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach. Journal of Advanced Transportation. 2019; 2019 ():1-10.

Chicago/Turabian Style

Juan Diego Febres; Fatemeh Mohamadi; Miguel. A. Mariscal; S. Herrera; Susana García-Herrero. 2019. "The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach." Journal of Advanced Transportation 2019, no. : 1-10.

Research article
Published: 11 November 2019 in BioMed Research International
Reads 0
Downloads 0

Today, the economic and social importance of occupational accidents is undeniable worldwide. Hence, research aimed at reducing this type of accident is considered a discipline of great interest for society in general. In this environment, working conditions play a fundamental role in the occurrence of accidents, and from their study, results can be obtained that provide information for decision-making that guarantee optimum conditions for the development of the employees’ tasks. Organizing the conditions of work execution is also a task that constitutes an essential aspect for a firm’s productivity, therefore, affecting their viability and results. In this work, a model is proposed for the study of different groups of working conditions and their influence on the probability of occupational accidents, in accordance with the data provided by the 7th National Survey of Working Conditions (VII NSWC). The survey sampled 8892 workers active in all sectors of national production and is the last nation-wide survey administered in Spain. Bayesian networks (BNs) are used to generate a network that analyzes working conditions in all areas (27 variables have been included in addition to those corresponding to the sector and accident), and then, more specifically, the relationship that is established between ergonomic factors in the workplace, psychosocial factors of the worker, and the probability of an accident. The results are achieved through the network obtained by highlighting some of the proposed variables. The dependencies generated by the chosen variables are analyzed, and subsequently, the probability of accident for each of the productive sectors is determined. It is concluded that the ergonomic risks associated with physical strains in the workplace, together with the lack of job satisfaction on the employer’s behalf, both pose a very significant increase in the probability of being involved in an occupational accident, above the other variables of study.

ACS Style

J. R. López-García; S. García-Herrero; J. M. Gutiérrez; M. A. Mariscal. Psychosocial and Ergonomic Conditions at Work: Influence on the Probability of a Workplace Accident. BioMed Research International 2019, 2019, 1 -13.

AMA Style

J. R. López-García, S. García-Herrero, J. M. Gutiérrez, M. A. Mariscal. Psychosocial and Ergonomic Conditions at Work: Influence on the Probability of a Workplace Accident. BioMed Research International. 2019; 2019 ():1-13.

Chicago/Turabian Style

J. R. López-García; S. García-Herrero; J. M. Gutiérrez; M. A. Mariscal. 2019. "Psychosocial and Ergonomic Conditions at Work: Influence on the Probability of a Workplace Accident." BioMed Research International 2019, no. : 1-13.

Journal article
Published: 27 June 2019 in International Journal of Industrial Ergonomics
Reads 0
Downloads 0

The construction industry is one of the most important socio-economic sectors of the Spanish economy and one of the most affected by workplace accidents. An analysis of the data on accident rates is needed, in order to identify variables related with workplace accidents and to define the measures that need to be taken for their reduction. In this study, an analysis is conducted using Bayesian Networks and data from the 7th National Survey on Working Conditions (VII NSWC), to study the relations between workplace accidents, visiting a doctor for occupational reasons, time in the company/sector, information that workers have on workplace risks in the workplace, and information and training on workplace risks that workers have received over the past two years. The NSWC survey, which is conducted every four years, was administered to 8892 workers, in Spain, in 2011. The values derived from the analysis yield certain implications involving the aforementioned variables and how to reduce the probability of workplace accidents. From among the variables under study, information on workplace risks is the most important, with the probability of suffering an accident in the construction industry doubling when such information is insufficient. In accordance with the results, these implications could also help with decision-making focused on improvements to training and on-the-job information, intended both to prevent and to reduce workplace accidents.

ACS Style

M.A. Mariscal; E.M. López-Perea; Jose Ramon Lopez Garcia; S. Herrera; Susana García-Herrero. The influence of employee training and information on the probability of accident rates. International Journal of Industrial Ergonomics 2019, 72, 311 -319.

AMA Style

M.A. Mariscal, E.M. López-Perea, Jose Ramon Lopez Garcia, S. Herrera, Susana García-Herrero. The influence of employee training and information on the probability of accident rates. International Journal of Industrial Ergonomics. 2019; 72 ():311-319.

Chicago/Turabian Style

M.A. Mariscal; E.M. López-Perea; Jose Ramon Lopez Garcia; S. Herrera; Susana García-Herrero. 2019. "The influence of employee training and information on the probability of accident rates." International Journal of Industrial Ergonomics 72, no. : 311-319.

Conference paper
Published: 01 January 2019 in Proceedings of the 29th European Safety and Reliability Conference (ESREL)
Reads 0
Downloads 0
ACS Style

Susana García-Herrero; Rachel Aldred; Esther Anaya-Boig; Miguel A. Mariscal. Vulnerability of cyclists on the road. A probabilistic analysis of the database of traffic injuries in Spain focusing on type of involved vehicle and driver culpability. Proceedings of the 29th European Safety and Reliability Conference (ESREL) 2019, 1 .

AMA Style

Susana García-Herrero, Rachel Aldred, Esther Anaya-Boig, Miguel A. Mariscal. Vulnerability of cyclists on the road. A probabilistic analysis of the database of traffic injuries in Spain focusing on type of involved vehicle and driver culpability. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 2019; ():1.

Chicago/Turabian Style

Susana García-Herrero; Rachel Aldred; Esther Anaya-Boig; Miguel A. Mariscal. 2019. "Vulnerability of cyclists on the road. A probabilistic analysis of the database of traffic injuries in Spain focusing on type of involved vehicle and driver culpability." Proceedings of the 29th European Safety and Reliability Conference (ESREL) , no. : 1.

Conference paper
Published: 01 January 2019 in Proceedings of the 29th European Safety and Reliability Conference (ESREL)
Reads 0
Downloads 0
ACS Style

Mariscal M.A.; González-Pérez J; Azfar Khalid.; Gutierrez-Llorente J.M.; García-Herrero S.. Risks management and cobots. Identifying critical variables. Proceedings of the 29th European Safety and Reliability Conference (ESREL) 2019, 1 .

AMA Style

Mariscal M.A., González-Pérez J, Azfar Khalid., Gutierrez-Llorente J.M., García-Herrero S.. Risks management and cobots. Identifying critical variables. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 2019; ():1.

Chicago/Turabian Style

Mariscal M.A.; González-Pérez J; Azfar Khalid.; Gutierrez-Llorente J.M.; García-Herrero S.. 2019. "Risks management and cobots. Identifying critical variables." Proceedings of the 29th European Safety and Reliability Conference (ESREL) , no. : 1.

Data article
Published: 03 November 2018 in Data in Brief
Reads 0
Downloads 0

Obtaining data on worker accident rates is necessary in order to analyze the causes and variables involved in the occurrence of said accidents. The majority of these data, collected after the accident occurs, do not consider the employee׳s working conditions. Here are presented the data on workplace accidents and the conditions of the workers by analyzing the generic data supplied as part of the 7th National Survey of Workplace Conditions (EWCS) in Spain, conducted in 2011. These data will yield the variables needed to determine if the information on workplace risks provided by the survey respondents has an appreciable effect on the occurrence of occupational accidents in the working population, and will also be used to explore other variables.

ACS Style

M.A. Mariscal; E.M. López-Perea; S. García-Herrero; J.R. López-García; S. Herrera. Data on the working population in Spain related to training, workplace conditions and accident rates. Data in Brief 2018, 21, 1810 -1817.

AMA Style

M.A. Mariscal, E.M. López-Perea, S. García-Herrero, J.R. López-García, S. Herrera. Data on the working population in Spain related to training, workplace conditions and accident rates. Data in Brief. 2018; 21 ():1810-1817.

Chicago/Turabian Style

M.A. Mariscal; E.M. López-Perea; S. García-Herrero; J.R. López-García; S. Herrera. 2018. "Data on the working population in Spain related to training, workplace conditions and accident rates." Data in Brief 21, no. : 1810-1817.

Journal article
Published: 05 September 2018 in Data in Brief
Reads 0
Downloads 0

Obtaining reliable and objective data on certain working conditions is necessary to analyse the causes and variables that can influence the development of hearing loss amongst the working population. Objective occupational data have been collected from a heterogeneous sample of 1418 workers in Spain, see "How activity type, time on the job and noise level on the job affect the hearing of the working population. Using Bayesian networks to predict the development of hipoacusia" (Barrero et al., 2018) [1]. Among the main factors analysed are the noise levels to which these workers are exposed, measured at their respective workstations, and the assessment of their hearing status, evaluated by audiometric medical tests. These factors provide information to predict the development of hypoacusia.

ACS Style

Jesús P. Barrero; S. García-Herrero; M.A. Mariscal; J.M. Gutiérrez. Data on the main working conditions with influence on the development of hearing loss amongst the occupational population in Spain. Data in Brief 2018, 20, 1004 -1017.

AMA Style

Jesús P. Barrero, S. García-Herrero, M.A. Mariscal, J.M. Gutiérrez. Data on the main working conditions with influence on the development of hearing loss amongst the occupational population in Spain. Data in Brief. 2018; 20 ():1004-1017.

Chicago/Turabian Style

Jesús P. Barrero; S. García-Herrero; M.A. Mariscal; J.M. Gutiérrez. 2018. "Data on the main working conditions with influence on the development of hearing loss amongst the occupational population in Spain." Data in Brief 20, no. : 1004-1017.

Journal article
Published: 01 August 2018 in Safety Science
Reads 0
Downloads 0

In this research we identify the main factors believed to trigger occupational hypoacusia in an effort to increase our knowledge of how this occupational disease occurs and develops. With this goal in mind, we have gathered various demographic/personal, occupational and non-occupational data from a heterogeneous sample of 1418 workers. The data selected include the noise levels to which the individuals in the sample are exposed. This entailed taking measurements at their respective jobs, as well as doing an objective assessment of their hearing ability, which required administering medical hearing tests. Lastly, the workers completed a survey on various habits and other factors deemed to be influential, and on the respondents’ own perception of their hearing. Bayesian networks were used to obtain the conditioned probability of developing hypoacusia based on the data collected from the sample. Specifically, for this study we used the general network created by the relationships between all of the factors associated with developing hypoacusia in order to analyze the influence individually and by grouping three specific variables: activity sector, noise level and time on the job. This work yielded a considerable database that can be used to conduct a multitude of analyses intended to study and predict the hearing acuity of the working population under different scenarios. Specifically, in the case at hand, the Bayesian network obtained indicates that the three factors analyzed influence the hearing of the individuals, though to different extents. The least influential factor involves the sector of activity, followed by the noise level on the job, which varies noticeably in favor of better hearing for workers in jobs whose noise levels are rated as low. Finally, we deemed time on the job (which is also related to age), as the most influential factor as it exhibits the largest differences among its potential states, with workers whose time on the job is rated as low or medium exhibiting the best likelihood of having good hearing.

ACS Style

Jesús P. Barrero; Susana García-Herrero; Miguel A. Mariscal; J.M. Gutierrez. How activity type, time on the job and noise level on the job affect the hearing of the working population. Using Bayesian networks to predict the development of hypoacusia. Safety Science 2018, 110, 1 -12.

AMA Style

Jesús P. Barrero, Susana García-Herrero, Miguel A. Mariscal, J.M. Gutierrez. How activity type, time on the job and noise level on the job affect the hearing of the working population. Using Bayesian networks to predict the development of hypoacusia. Safety Science. 2018; 110 ():1-12.

Chicago/Turabian Style

Jesús P. Barrero; Susana García-Herrero; Miguel A. Mariscal; J.M. Gutierrez. 2018. "How activity type, time on the job and noise level on the job affect the hearing of the working population. Using Bayesian networks to predict the development of hypoacusia." Safety Science 110, no. : 1-12.

Journal article
Published: 23 February 2016 in DYNA
Reads 0
Downloads 0

Work stress increasingly affects many workers from different countries. Conditions such as high demand, low social support and low job control are considered predictors of increased stress. With data obtained from the V European Working Conditions Survey (EWCS) a Bayesian network model was made. It provides information on the levels of stress in relation to model demand-control-social support (DCS), differentiating into work situations as they are, self-employed, private and public. To deepen understanding of the interrelationships between these variables sensitivity analysis of individual and overall were performed to check the DCS model assumptions. This model applied in the V EWCS identified the variations and similarities between different work situations, proving that having low levels of demand, together with control and high social support, the likelihood of stress decreases.

ACS Style

Susana García-Herrero; Miguel Ángel Mariscal-Saldaña; Eva María López-Perea; Martha Felicitas Quiroz-Flores. Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey. DYNA 2016, 83, 52 -60.

AMA Style

Susana García-Herrero, Miguel Ángel Mariscal-Saldaña, Eva María López-Perea, Martha Felicitas Quiroz-Flores. Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey. DYNA. 2016; 83 (195):52-60.

Chicago/Turabian Style

Susana García-Herrero; Miguel Ángel Mariscal-Saldaña; Eva María López-Perea; Martha Felicitas Quiroz-Flores. 2016. "Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey." DYNA 83, no. 195: 52-60.

Journal article
Published: 22 April 2013 in Accident Analysis & Prevention
Reads 0
Downloads 0

Occupational stress is a major health hazard and a serious challenge to the effective operation of any company and represents a major problem for both individuals and organizations. Previous researches have shown that high demands (e.g. workload, emotional) combined with low resources (e.g. support, control, rewards) are associated with adverse health (e.g. psychological, physical) and organizational impacts (e.g. reduced job satisfaction, sickness absence). The objective of the present work is to create a model to analyze how social support reduces the occupational stress caused by work demands. This study used existing Spanish national data on working conditions collected by the Spanish Ministry of Labour and Immigration in 2007, where 11,054 workers were interviewed by questionnaire. A probabilistic model was built using Bayesian networks to explain the relationships between work demands and occupational stress. The model also explains how social support contributes positively to reducing stress levels. The variables studied were intellectually demanding work, overwork, workday, stress, and social support. The results show the importance of social support and of receiving help from supervisors and co-workers in preventing occupational stress. The study provides a new methodology that explains and quantifies the effects of intellectually demanding work, overwork, and workday in occupational stress. Also, the study quantifies the importance of social support to reduce occupational stress.

ACS Style

Susana García-Herrero; M.A. Mariscal; José Manuel Gutiérrez; Dale O. Ritzel. Using Bayesian networks to analyze occupational stress caused by work demands: Preventing stress through social support. Accident Analysis & Prevention 2013, 57, 114 -123.

AMA Style

Susana García-Herrero, M.A. Mariscal, José Manuel Gutiérrez, Dale O. Ritzel. Using Bayesian networks to analyze occupational stress caused by work demands: Preventing stress through social support. Accident Analysis & Prevention. 2013; 57 ():114-123.

Chicago/Turabian Style

Susana García-Herrero; M.A. Mariscal; José Manuel Gutiérrez; Dale O. Ritzel. 2013. "Using Bayesian networks to analyze occupational stress caused by work demands: Preventing stress through social support." Accident Analysis & Prevention 57, no. : 114-123.

Journal article
Published: 30 November 2012 in Safety Science
Reads 0
Downloads 0

Each day thousands of workers suffer occupational accidents of varying degrees of severity. Accidents at work render workers incapable of carrying out their day to day activities, either temporarily or permanently, and they also have detrimental effects on family life, the company, and the general public. In order to reduce the occupational accident rate, it is necessary to determine the causes of those accidents. Although there are many different types of accidents, they generally stem from poor working conditions. The purpose of this study was to analyze the influence of working conditions on occupational accidents from data gathered in the VI National Survey of Working Conditions (VI NSWCs) in 2007. This survey utilized a random sample of the active population of Spain. The sample comprised 11,054 people (5917 males and 5137 females). In order to carry out the study, a probabilistic model was built using Bayesian networks. The model included the following variables: hygiene conditions, ergonomic conditions, job demands, physical symptoms, psychological symptoms, and occupational accidents. The study demonstrated that there were strong relationships between hygiene conditions and occupational accidents; it has been shown that poor hygienic conditions duplicate the probability of accident. Physical symptoms increased almost 50% due to poor ergonomic conditions. And finally, high job demands almost duplicated the psychological symptoms. The investigation also showed a high degree of interdependence between physical and psychological symptomatologies and the relationship between these and occupational accidents.

ACS Style

Susana García-Herrero; M.A. Mariscal; Javier García-Rodríguez; Dale O. Ritzel. Working conditions, psychological/physical symptoms and occupational accidents. Bayesian network models. Safety Science 2012, 50, 1760 -1774.

AMA Style

Susana García-Herrero, M.A. Mariscal, Javier García-Rodríguez, Dale O. Ritzel. Working conditions, psychological/physical symptoms and occupational accidents. Bayesian network models. Safety Science. 2012; 50 (9):1760-1774.

Chicago/Turabian Style

Susana García-Herrero; M.A. Mariscal; Javier García-Rodríguez; Dale O. Ritzel. 2012. "Working conditions, psychological/physical symptoms and occupational accidents. Bayesian network models." Safety Science 50, no. 9: 1760-1774.