6 resultados para Accident risk forecasting.

em Universidad Politécnica de Madrid


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Desde 1995, el derecho internacional se ha integrado en el ordenamiento jurídico español en lo referente a seguridad y salud. Sin embargo, la situación de la seguridad en los aprovechamientos forestales no ha mejorado notablemente, puesto que se detectan frecuentes casos de personal trabajando sin equipo de protección e incumpliendo las instrucciones de trabajo seguro, y son abundantes las referencias a una elevada accidentalidad. Para evaluar estos aspectos, primeramente se han comparado y valorado los datos de accidentalidad de los taladores de una empresa de referencia con los de los sectores agrario y de la construcción a través de las estadísticas nacionales y con los datos depurados del sector forestal a partir de la base de datos de declaración electrónica de accidentes de la C.A. de Castilla y León. En segundo lugar, se han identificado las deficiencias en materia de prevención, diseñando para ello una encuesta que se ha llevado a cabo en 35 aprovechamientos de Castilla y León. Posteriormente, se ha verificado que la reducción de la accidentalidad en la empresa de referencia se debe a la aplicación del plan de prevención. Se han caracterizado los riesgos en los que habían incurrido los taladores y se han descrito las medidas adoptadas para la reducción de los accidentes en la empresa estudiada, lo que ha conducido a una serie de recomendaciones para reducir la accidentalidad. Por otro lado se han analizado las causas de los picos de accidentalidad detectados. Como conclusión, se puede reducir sensiblemente la accidentalidad sólo si la empresa integra la política de prevención como un objetivo más de la gestión empresarial, en todos los niveles de su organización, acompañando las herramientas técnicas con formación temprana y motivación adecuada. Palabras clave: aprovechamientos forestales, riesgos laborales, prevención, trabajador forestal, accidentalidad, incidencia, gravedad. From 1995, Spanish safety legislation has been adapted to the Internationa! framework. However, operationally the situation is not so good, at least in the wood harvesting activity. Some forest workers are still found not wearing the compulsory safety equipment, working without respecting safety rules and references to high accidents rates are frequent. To assess those aspects, firstly some comparisons have been made between the accident records in a reference company and the accident indexes at national and regional level for building and farming activities. Secondly, using a purpose-designed questionnaire applied to 35 logging worksites in Castilla y Leon Region, deficiencies in prevention have been identified. The relation between the accident reduction and the prevention methods used by the reference studied company has been confirmed. Also the main causes and peaks of the accidents have been analyzed. Finally, some recommendations to reduce the risk of accidents in harvesting operations are provided. The main conclusion confirms that the possibility of reducing the accident risk is conditioned to the commitment of all the staff of the timber harvesting company, at every level of responsibility, to search for excellence in safety as one more entrepreneurial goal. This fact should be accompanied by the staff early training and the adequate motivation means. Keywords: logging, labor risk, safety and health, prevention, logging workers, accident incidence, accident severity.

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El modo tradicional de estimar el nivel de seguridad vial es el registro de accidentes de tráfico, sin embargo son altamente variables, aleatorios y necesitan un periodo de registro de al menos 3 años. Existen metodologías preventivas en las cuales no es necesario que ocurra un accidente para determinar el nivel de seguridad de una intersección, como lo es la técnica de los conflictos de tráfico, que introduce las mediciones alternativas de seguridad como cuantificadoras del riesgo de accidente. El objetivo general de la tesis es establecer una metodología que permita clasificar el riesgo en intersecciones interurbanas, en función del análisis de conflictos entre vehículos, realizado mediante las variables alternativas o indirectas de seguridad vial. La metodología para el análisis y evaluación temprana de la seguridad en una intersección, estará basada en dos medidas alternativas de seguridad: el tiempo hasta la colisión y el tiempo posterior a la invasión de la trayectoria. El desarrollo experimental se realizó mediante estudios de campo, para la parte exploratoria de la investigación, se seleccionaron 3 intersecciones interurbanas en forma de T donde se obtuvieron las variables que caracterizan los conflictos entre vehículos; luego mediante técnicas de análisis multivariante, se obtuvo los modelos de clasificación del riesgo cualitativo y cuantitativo. Para la homologación y el estudio final de concordancia entre el índice propuesto y el modelo de clasificación, se desarrollaron nuevos estudios de campo en 6 intersecciones interurbanas en forma de T. El índice de riesgo obtenido resulta una herramienta muy útil para realizar evaluaciones rápidas conducentes a estimar la peligrosidad de una intersección en T, debido a lo simple y económico que resulta obtener los registros de datos en campo, por medio de una rápida capacitación a operarios; la elaboración del informe de resultados debe ser por un especialista. Los índices de riesgo obtenidos muestran que las variables originales más influyentes son las mediciones de tiempo. Se pudo determinar que los valores más altos del índice de riesgo están relacionados a un mayor riesgo de que un conflicto termine en accidente. Dentro de este índice, la única variable cuyo aporte es proporcionalmente directo es la velocidad de aproximación, lo que concuerda con lo que sucede en un conflicto, pues una velocidad excesiva se manifiesta como un claro factor de riesgo ya que potencia todos los fallos humanos en la conducción. Una de las principales aportaciones de esta tesis doctoral a la ingeniería de carreteras, es la posibilidad de aplicación de la metodología por parte de administraciones de carreteras locales, las cuales muchas veces cuentan con recursos de inversión limitados para efectuar estudios preventivos, sobretodo en países en vías de desarrollo. La evaluación del riesgo de una intersección luego de una mejora en cuanto a infraestructura y/o dispositivos de control de tráfico, al igual que un análisis antes – después, pero sin realizar una comparación mediante la ocurrencia de accidentes, sino que por medio de la técnica de conflictos de tráfico, se puede convertir en una aplicación directa y económica. Además, se pudo comprobar que el análisis de componentes principales utilizado en la creación del índice de riesgo de la intersección, es una herramienta útil para resumir todo el conjunto de mediciones que son posibles de obtener con la técnica de conflictos de tráfico y que permiten el diagnóstico del riesgo de accidentalidad en una intersección. En cuanto a la metodología para la homologación de los modelos, se pudo establecer la validez y confiabilidad al conjunto de respuestas entregadas por los observadores en el registro de datos en campo, ya que los resultados de la validación establecen que la medición de concordancia de las respuestas entregadas por los modelos y lo observado, son significativas y sugieren una alta coincidencia entre ellos. ABSTRACT The traditional way of estimating road safety level is the record of occurrence of traffic accidents; however, they are highly variable, random, and require a recording period of at least three years. There are preventive methods which do not need an accident to determine the road safety level of an intersection, such as traffic conflict technique, which introduces surrogate safety measures as parameters for the evaluation of accident risks. The general objective of the thesis is to establish a methodology that will allow the classification of risk at interurban intersections as a function of the analysis of conflicts between vehicles performed by means of surrogate road safety variables. The proposal of a methodology for the analysis and early evaluation of safety at an intersection will be based on two surrogate safety measures: the time to collision and the post encroachment time. On the other hand, the experimental development has taken place by means of field studies in which the exploratory part of the investigation selected three interurban T-intersections where the application of the traffic conflict technique gave variables that characterize the conflicts between vehicles; then, using multivariate analysis techniques, the models for the classification of qualitative and quantitative risk were obtained. With the models new field studies were carried out at six interurban Tintersections with the purpose of developing the homologation and the final study of the agreement between the proposed index and the classification model. The risk index obtained is a very useful tool for making rapid evaluations to estimate the hazard of a T-intersection, as well as for getting simply and economically the field data records after a fast training of the workers and then preparing the report of results by a specialist. The risk indices obtained show that the most influential original variables are the measurements of time. It was determined that the highest risk index values are related with greater risk of a conflict resulting in an accident. Within this index, the only variable whose contribution is proportionally direct is the approach speed, in agreement with what happens in a conflict, because excessive speed appears as a clear risk factor at an intersection because it intensifies all the human driving faults. One of the main contributions of this doctoral thesis to road engineering is the possibility of applying the methodology by local road administrations, which very often have limited investment resources to carry out these kinds of preventive studies, particularly in developing countries. The evaluation of the risk at an intersection after an improvement in terms of infrastructure and/or traffic control devices, the same as a before/after analysis, without comparison of accident occurrence but by means of the traffic conflict technique, can become a direct and economical application. It is also shown that main components analysis used for producing the risk index of the intersection is a useful tool for summarizing the whole set of measurements that can be obtained with the traffic conflict technique and allow diagnosing accident risk at an intersection. As to the methodology for the homologation of the models, the validity and reliability of the set of responses delivered by the observers recording the field data could be established, because the results of the validation show that agreement between the observations and the responses delivered by the models is significant and highly coincident.

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Aim of study: to review the present state of the art in relation to the main labour risks and the most relevant results of recent studies evaluating the safety and health conditions of the forest harvesting work and better ways to reduce accidents. Area of study: It focuses mainly on developed Countries, where the general concern about work risks prevention, together with the complex idiosyncrasy of forest work in forest harvesting operations, has led to a growing interest from the forest scientific and technical community. Material and Methods: The main bibliographic and Internet references have been identified using common reference analysis tools. Their conclusions and recommendations have been comprehensively summarized. Main results: Collection of the principal references and their most important conclusions relating to the main accident risk factors, their causes and consequences, the means used towards their prevention, both instrumental as well as in the aspects of training and business management, besides the influence of the growing mechanization of logging operations on those risks. Research highlights: Accident risk is higher in forest harvesting than in most other work sectors, and the main risk factors such as experience, age, seasonality, training, protective equipment, mechanization degree, etc. have been identified and studied. The paper summarizes some relevant results, one of the principal being that the proper entrepreneurial risk management is a key factor leading to the success in minimizing labour risks..

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The principal risks in the railway industry are mainly associated with collisions, derailments and level crossing accidents. An understanding of the nature of previous accidents on the railway network is required to identify potential causes and develop safety systems and deploy safety procedures. Risk assessment is a process for determining the risk magnitude to assist with decision-making. We propose a three-step methodology to predict the mean number of fatalities in railway accidents. The first is to predict the mean number of accidents by analyzing generalized linear models and selecting the one that best fits to the available historical data on the basis of goodness-offit statistics. The second is to compute the mean number of fatalities per accident and the third is to estimate the mean number of fatalities. The methodology is illustrated on the Spanish railway system. Statistical models accounting for annual and grouped data for the 1992-2009 time period have been analyzed. After identifying the models for broad and narrow gauges, we predicted mean number of accidents and the number of fatalities for the 2010-18 time period.

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Como en todos los medios de transporte, la seguridad en los viajes en avión es de primordial importancia. Con los aumentos de tráfico aéreo previstos en Europa para la próxima década, es evidente que el riesgo de accidentes necesita ser evaluado y monitorizado cuidadosamente de forma continúa. La Tesis presente tiene como objetivo el desarrollo de un modelo de riesgo de colisión exhaustivo como método para evaluar el nivel de seguridad en ruta del espacio aéreo europeo, considerando todos los factores de influencia. La mayor limitación en el desarrollo de metodologías y herramientas de monitorización adecuadas para evaluar el nivel de seguridad en espacios de ruta europeos, donde los controladores aéreos monitorizan el tráfico aéreo mediante la vigilancia radar y proporcionan instrucciones tácticas a las aeronaves, reside en la estimación del riesgo operacional. Hoy en día, la estimación del riesgo operacional está basada normalmente en reportes de incidentes proporcionados por el proveedor de servicios de navegación aérea (ANSP). Esta Tesis propone un nuevo e innovador enfoque para evaluar el nivel de seguridad basado exclusivamente en el procesamiento y análisis trazas radar. La metodología propuesta ha sido diseñada para complementar la información recogida en las bases de datos de accidentes e incidentes, mediante la provisión de información robusta de los factores de tráfico aéreo y métricas de seguridad inferidas del análisis automático en profundidad de todos los eventos de proximidad. La metodología 3-D CRM se ha implementado en un prototipo desarrollado en MATLAB © para analizar automáticamente las trazas radar y planes de vuelo registrados por los Sistemas de Procesamiento de Datos Radar (RDP) e identificar y analizar todos los eventos de proximidad (conflictos, conflictos potenciales y colisiones potenciales) en un periodo de tiempo y volumen del espacio aéreo. Actualmente, el prototipo 3-D CRM está siendo adaptado e integrado en la herramienta de monitorización de prestaciones de Aena (PERSEO) para complementar las bases de accidentes e incidentes ATM y mejorar la monitorización y proporcionar evidencias de los niveles de seguridad. ABSTRACT As with all forms of transport, the safety of air travel is of paramount importance. With the projected increases in European air traffic in the next decade and beyond, it is clear that the risk of accidents needs to be assessed and carefully monitored on a continuing basis. The present thesis is aimed at the development of a comprehensive collision risk model as a method of assessing the European en-route risk, due to all causes and across all dimensions within the airspace. The major constraint in developing appropriate monitoring methodologies and tools to assess the level of safety in en-route airspaces where controllers monitor air traffic by means of radar surveillance and provide aircraft with tactical instructions lies in the estimation of the operational risk. The operational risk estimate normally relies on incident reports provided by the air navigation service providers (ANSPs). This thesis proposes a new and innovative approach to assessing aircraft safety level based exclusively upon the process and analysis of radar tracks. The proposed methodology has been designed to complement the information collected in the accident and incident databases, thereby providing robust information on air traffic factors and safety metrics inferred from the in depth assessment of proximate events. The 3-D CRM methodology is implemented in a prototype tool in MATLAB © in order to automatically analyze recorded aircraft tracks and flight plan data from the Radar Data Processing systems (RDP) and identify and analyze all proximate events (conflicts, potential conflicts and potential collisions) within a time span and a given volume of airspace. Currently, the 3D-CRM prototype is been adapted and integrated in AENA’S Performance Monitoring Tool (PERSEO) to complement the information provided by the ATM accident and incident databases and to enhance monitoring and providing evidence of levels of safety.

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In the current uncertain context that affects both the world economy and the energy sector, with the rapid increase in the prices of oil and gas and the very unstable political situation that affects some of the largest raw materials’ producers, there is a need for developing efficient and powerful quantitative tools that allow to model and forecast fossil fuel prices, CO2 emission allowances prices as well as electricity prices. This will improve decision making for all the agents involved in energy issues. Although there are papers focused on modelling fossil fuel prices, CO2 prices and electricity prices, the literature is scarce on attempts to consider all of them together. This paper focuses on both building a multivariate model for the aforementioned prices and comparing its results with those of univariate ones, in terms of prediction accuracy (univariate and multivariate models are compared for a large span of days, all in the first 4 months in 2011) as well as extracting common features in the volatilities of the prices of all these relevant magnitudes. The common features in volatility are extracted by means of a conditionally heteroskedastic dynamic factor model which allows to solve the curse of dimensionality problem that commonly arises when estimating multivariate GARCH models. Additionally, the common volatility factors obtained are useful for improving the forecasting intervals and have a nice economical interpretation. Besides, the results obtained and methodology proposed can be useful as a starting point for risk management or portfolio optimization under uncertainty in the current context of energy markets.