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Shuhaibar, Nabeel Khalil. "Road accidents in a developing country : characteristics and causes of accident rates in Kuwait." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/8185.
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Hammoudi, Abdulla Al. "Causes and strategies to reduce road traffic accidents in Abu Dhabi." Thesis, Cardiff Metropolitan University, 2014. http://hdl.handle.net/10369/7556.
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Every year globally 1.3 million people lose their lives from road traffic accidents (RTAs). To date, there has not been a comprehensive evaluation of RTAs in the United Arab Emirates, and the results from this study would help in evaluating the issues related to RTAs. Relevant literature on factors related to RTAs was reviewed to inform the methods adopted for the study. Structured questionnaires were used to collect quantitative data among 291 drivers and 280 pedestrians in Abu Dhabi, while 41 key informant interviews with traffic managers provided qualitative data. Draft recommendations on RTAs in Abu Dhabi that were derived from drivers, pedestrians and key informant interviews were discussed with appropriate stakeholders , traffic managers and policy makers in the country that resulted in the development of RTAs benchmark in the country. The study has identified major causes of RTAs in Abu Dhabi, with young people between 18-25 years, the ones who are likely to cause RTAs in Abu Dhabi. Not wearing seat belt, using mobile phone and alcohol consumption were also identified as causes of RTAs. Aggressive driving behaviour was the most unsafe driving behaviours and included speeding, tailgating, not using indicators and jumping red traffic lights. Using a mobile phones as a pedestrian while crossing roads and crossing roads from undesignated places also contributed to RTAs. The study has proposed methods to reduce RTAs in Abu Dhabi including traffic law enforcement, traffic campaigns and education traffic safety programs. The study further proposes that a welcome pack be provided for new arrivals to the country, with information on the importance of traffic safety and to explain the traffic law in the country as an appropriate method to reduce RTAs in Abu Dhabi. The study further proposes that governments should work with relevant stakeholders to address issues related to RTAs.
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Chagas, Denise Martins. "Método para análise de acidentes de trânsito com a identificação de fatores causais." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/116727.
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Esta tese tem como finalidade propor um método de coleta, tratamento e análise de dados de acidentes de trânsito para aplicação no Brasil. Este método tem como um de seus objetivos reconhecer os fatores que contribuem para a ocorrência dos acidentes, visto que identificar as causas dos acidentes é fundamental na busca por soluções para o problema da acidentalidade. No Brasil as bases de dados de acidentes de trânsito são, em geral, estruturadas a partir dos registros policiais e carecem de informações adequadas para a análise da segurança viária. O método proposto neste trabalho permite registrar acidentes de modo a contemplar: as características do acidente, as circunstâncias do momento, a identificação e as características dos veículos e pessoas envolvidas. Além disso, o método permite relacionar essas informações com os fatores que contribuíram para a ocorrência dos acidentes. Nesse contexto, a criação de uma base de dados de acidentes e seus fatores contribuintes, vem suprir a carência de informações essenciais para o diagnóstico e encaminhamento de soluções adequadas para os problemas motivadores dos acidentes de trânsito. A proposta desta tese está baseada em uma abordagem que combina aspectos qualitativos e quantitativos, alinhada às melhores práticas internacionais na área de segurança viária. Como resultado do desenvolvimento do método, foram elaborados instrumentos de coleta de dados contendo um formulário, um manual e procedimentos para a coleta de dados. Como resultado da aplicação prática desses instrumentos, foi criada a estrutura de uma base de dados que permitiu a definição do método proposto para a análise das causas de acidentes de trânsito. Como meio de validar o método proposto, foi realizado um estudo aplicado e são apresentadas as análises de dados dos acidentes de trânsito observados.This thesis has the purpose of presenting a method for collecting and processing data on traffic accidents to be applied in Brazil. This method aims to acknowledge the contributor factors for the occurrence of accidents, since identifying the causes of accidents is crucial on the search for effective solutions for the road safety problem. Traffic accidents database in Brazil are generally structured based on police reports, therefore lacking adequate information for the analyses of road safety. The method proposes a registry of the accidents comprising accident characteristics, scene circumstances, vehicle as well as involved people identification and characteristics. Moreover, it allows relating that information with the accident contributory factors. In this scenery, the creation of an accident database and its contributory factors emerge to supply the lack of essential information for the diagnosis and adequate solution for traffic accidents. This thesis’ proposal has an approach that combines both quantitative and qualitative aspects, seeking to level up to the best international practice on the road safety area. As a result of the development of the method, data collection instruments were elaborated: a form, a manual, and procedures for data collection. Besides, as a result of the practical application of these instruments, a database - which allowed the definition of the method proposed for analysis of the causes of traffic accidents - was created. As a mean of validation of the method, an applied study and the data analysis of the observed traffic accidents are presented.
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Plankermann, Kai [Verfasser], and Alf [Akademischer Betreuer] Zimmer. "Human factors as causes for road traffic accidents in the Sultanate of Oman under consideration of road construction designs / Kai Plankermann. Betreuer: Alf Zimmer." Regensburg : Universitätsbibliothek Regensburg, 2014. http://d-nb.info/1051132622/34.
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Al-Dah, Mostapha K. "Causes and consequences of road traffic crashes in Dubai, UAE and strategies for injury reduction." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/5965.
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This thesis looked at traffic crashes in the emirate of Dubai in the United Arab Emirates (UAE) to establish the current situation in road safety and ways of improving it. A global overview of road safety literature revealed that standards of road safety vary widely by region. Key indicators like fatality rate and risk (Jacobs et al, 2000) were found to be higher in most neighbouring Gulf Cooperative Council (GCC) countries (10-25 fatalities/100,000 pop., 3-5 fatalities/10,000 motor vehicles) than in the best-performing Western countries (6 fatalities/100,000 pop., 1 fatality/10,000 motor vehicles). Interventions and countermeasures to tackle specific road safety issues were reviewed from international studies. Countermeasures were chosen with consideration for the local situation in Dubai within the categories of Human, Environmental and Vehicle factors. Examples of selected measures include offending driver punishment (Human), Electronic Stability Control (Vehicle) and central barriers (Environment). These measures were mostly studied in different environments to those in Dubai so the aspect of knowledge transfer between areas of different cultural and environmental conditions was discussed. Data from real world injury crashes (as collected by Dubai Police and the Roads & Transport Authority) over twelve years (1995 2006) were subject to macroanalysis in SPSS to identify the main issues over the past decade. 18,142 crashes involving 30,942 casualties and 48,960 vehicles were analysed at the outset. The following issues were among the main concerns: - High proportion of fatal crashes out of all injury crashes (13.5% compared to 1.4% in the UK); - Most fatal crashes involved a single vehicle hitting a pedestrian; - Most injury crashes involved a single vehicle; - Inconsiderate driving was the most common crash cause cited by the police. Countermeasures found in the literature to counteract these problems were then suggested for application and the estimated savings from applying them were calculated. Savings were quantified as either reductions in casualties or injury crashes. Furthermore, cost savings for the calculated reductions were estimated using existing UK crash costs due to the scarcity of UAE crash cost estimates. Calculation of the estimated improvement in safety if these countermeasures were applied retrospectively meant a reduction of 4,634 injury crashes and 1,555 casualties over the 12-year period with an estimated cost saving of approximately £368 million or 2.7 billion Dirhams. To refine this method more detailed data on crashes were required and collected from the dedicated crash investigation team files in Dubai Police for 2006 and part of 2007. This new dataset (300 crashes) was put into a purpose-built database with over 140 fields and subject to microanalysis to more accurately match the problems and interventions. Six interventions were matched to individual cases in the database where they would have positively altered the outcome. This process was verified by independent crash experts and investigators. The benefits from these six countermeasures were then weighted to calculate the benefits for the whole crash population over a year. Examples of specific interventions included guardrails along the roadside; grade-separated crossing facilities for pedestrians; Electronic Stability Control and speed cameras. The estimated total reduction in crashes was 2,412 annually with calculated savings of £40 million or 280 million Dirhams. This was the first time this geographical area was studied in such depth and detail to allow the calculation of benefits from interventions matched to known road safety issues. Various limitations were encountered such as the unavailability of GIS basemaps and the continuously changing infrastructure and population of Dubai. Numerous areas of further work were identified. Such work areas include hospital studies for collecting injury data to compare with police data; changing vehicle standards so that they are better suited to local crash types; the calculation of crash and injury costs based on local figures; vehicle fleet analysis for comparing different vehicle segments and exposure; and improved data collection and storage methods.
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Bednářová, Denisa. "Dopravní nehoda jako traumatická situace." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-232882.
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The thesis refers to the issue of road accidents and their prevention in the Czech Republic, seen as a negative phenomenon in modern society. It is divided into two relatively independent parts, theoretical and practical. The theoretical part focuses on a general description of traffic accident and states their main causes. Moreover, it deals with a road accident as a traumatic event having negative effects on life of involved people, especially on the human psyche. At the end of this part you can find basic principles of emergency intervention on casualties of road accidents and organizations which offer free help to road accident casualties. In the practical part of this work there is a study of road accidents that happened in the region of the Czech Republic from the point of view of their causes and the age of the driver.
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Horner-Baggs, Louise. "Trauma stress severity and road traffic accidents : a prospective pilot study into 11 causal factors." Thesis, University of Plymouth, 1999. http://hdl.handle.net/10026.1/2524.
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Factors associated with the development of post traumatic stress symptomatology have frequently been reported in the literature over the last decade. However, of the empirical studies examining these factors, few have used appropriate methodological designs and most have examined one factor in isolation. This pilot study used a cross-lagged panel analysis design to investigate 11 factors previously identified in the literature as being causally related to the development of post traumatic stress symptomatology. The 11 factors investigated were: perceived controllability, perceived predictability, perceived threat, shattering and confirmation of core assumptions, causal attributions, supportive and unsupportive behaviour, peritraumatic dissociation and the personality factors of neuroticism and introversion. 13 participants were recruited through Cheltenham General Hospital's accident and emergency department after being involved in a road traffic accident (RTA). They were interviewed on three occasions; ten days post RTA, ten weeks post RTA and six months post RTA and were required to complete four questionnaires. It was found that participants who had high levels of post traumatic stress symptomatology at ten days received low levels of supportive behaviour at six months. Participants who perceived the accident to be unpredictable at ten days had low levels of symptomatology at six months. Two other factors were also found to be causally related to the development of post traumatic stress symptomatology; confirmation and neuroticism, but these factors must be treated with caution due to the possibility of an unspecified third variable. The remaining seven factors were not found to be causally related to the development of symptomatology. Overall these findings support the interactive field theories which propose that post traumatic stress symptomatology develops through a complex interaction of numerous factors from the emotional, social and cognitive domains and cannot be related to specific linear factors.
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Roesel, Felix. "The causal effect of wrong-hand drive vehicles on road safety." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-229840.
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Left-hand drive (LHD) vehicles share higher road accident risks under left-hand traffic because of blind spot areas. Due to low import prices, the number of wrong-hand drive vehicles skyrockets in emerging countries like Georgia, Kyrgyzstan and Russia. I identify the causal effect of wrong-hand drive vehicles on road safety employing a new “backward version” of the synthetic control method. Sweden switched from left-hand to right-hand traffic in 1967. Before 1967, however, almost all Swedish vehicles were LHD for reasons of international trade and Swedish customer demand. I match on accident figures in the period after 1967, when both Sweden and other European countries drove on the right and used LHD vehicles. Results show that right-hand traffic decreased road fatality, injury and accident risk in Sweden by approximately 30 percent. An earlier switch would have saved more than 4,000 lives between 1953 and 1966.
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Špačková, Tereza. "Analýza počtu dopravních nehod na silnicích Středočeského kraje." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-11868.
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The aim of my diploma thesis is the analysis of traffic accident quantity on roads (highways and motorways) of Central Bohemia. My personal contribution to this topic is the particular analysis of accident frequency within Central Bohemia between 1994 and 2007. Nobody has dealt with such an analysis in frame of this region until the present. In the theoretical part of the thesis, basic definitions are expounded from the theory of traffic accident frequency and the partition of traffic accidents according to different criteria, and the classification of roads. There is a situation described in Central Bohemia for each type of classification for mentioned years. The practical part of the thesis is divided into three sections, which analyze problems from different points of view. In the first part, there are detected reciprocal relations between basic indicators of traffic accident frequency in the particular districts of Central Bohemia. The next part targets the analysis of time series of causes and results of traffic accidents within this region, in particular months of mentioned years. The aim of this part is to describe the trend of time series by acceptable methods and to estimate their supposed development in the following 12 months. In the third and final part of the thesis, the analysis of less commonly considered causes of traffic accidents are performed, as is directional conditions, status of road surface, visibility, weather conditions and transversal setting of communication. The target of this final part is to verify whether these factors significantly influence the number of traffic accidents on different types of roads.
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Crosby, Charles L. "Energy Dissipation Caused by Asphalt Roadway Gouges for Use in Accident Reconstruction." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/1983.
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In reconstruction of on-roadway vehicle accidents, roadway surface gouges and the forces and energy attributed to the related vehicle components become important keys to resolving an accurate accident reconstruction. These roadway gouge forces vary depending upon such factors as surface temperature and the velocity and geometry of the gouging mechanism. Accounting for the forces applied to vehicle components and the energy dissipated from such forces can be helpful in accident reconstruction where supporting data exists. This research documents the force necessary to create a given roadway gouge geometry. Controlled pavement gouging tests were performed using roadway surface temperature and gouging velocity as main factors. The results of this testing and analysis are useful in quantifying gouge forces and energies for use in accident reconstruction. The findings show that the temperature of the roadway surface that is being damaged significantly affects the amount of force required to cause the damage. A summary of experiments and techniques as applied to accident reconstruction are presented.
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Turner, Shane. "Estimating accidents in a road network." Thesis, University of Canterbury. Civil Engineering, 1996. http://hdl.handle.net/10092/5677.
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This thesis describes the development of models for predicting accidents at the intersections in a road network, from the turning traffic volumes at each intersection. The accident prediction models were developed using Poisson and negative binomial regression for each of the major accident types, at each of the major intersection types. Countrywide models that predict the motor vehicle accidents (accidents involving motor vehicles only) in a five year period, from the product of the conflicting traffic volumes were developed for each accident type. Accident prediction models have also been developed to predict the number of motor vehicle accidents occurring in different periods of the day (eg. the morning peak, 7am to 9am) and in different urban centres.
This thesis also describes three case studies, where the accident prediction models have been used to predict the total number of accidents (major accident types) at the intersections in three road networks. Case studies were performed on the Christchurch Southern Arterial network, Christchurch Central network and the Lower Hutt network. For the two latter networks the total number of intersection accidents predicted was quite similar to that observed. In the Southern Arterial network, however, the total number of intersection accidents was under-predicted considerably.
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Chee, Wing-yan David. "Road accidents : identification of patterns and trends /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21128819.
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Arampamoorthy, Haran. "Analysis of spatial distributions of road accidents." Thesis, University of Canterbury. Civil Engineering, 2005. http://hdl.handle.net/10092/4832.
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Traffic accidents result in life and financial loss to the society. In
developing countries traffic fatalities are comparable to other leading
causes of death. The need for the analysis of the spatial distribution of
traffic accidents, as an aid to select the most appropriate type of
accident reduction programme (e.g. site, route and area plans) and
assessing the effectiveness of such plans after implementation, is very
important. The current practice (e.g. visual examination) for assessing
the spatial distribution of accidents is reviewed. In this thesis, various
methods for the statistical analysis of spatial distributions of accidents
(including quadrat and nearest - neighbour methods) are reviewed and
further improvements are described.
Accidents are random events subject to both temporal and spatial
variation. The basic variables for accident analysis are; distance and
direction of accident locations in terms of North and East co-ordinates,
azimuth, and the year of the accident. A new method for analysing the
spatial pattern is proposed, whereby detection of a particular pattern
will indicate which type of accident reduction programme is most
appropriate. The method distinguishes the spatial distribution (point
cluster, line cluster, area cluster or a completely spatially random
distribution) of accidents in different types of road networks (regular or
irregular and dense or sparse). The method can also help assessment of
the changes in spatial distributions of accidents.
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Chee, Wing-yan David, and 遲榮仁. "Road accidents: identification of patterns and trends." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31951879.
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Nseya, Cecile. "Bicycle accidents: An analysis of the causes of single bicycle accidents in Stockholm." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-364765.
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Bicycling has many advantages. For example, it emits less noise compared to motor vehicles, it is environmentally friendly, and bicycling, as a means of transport, gives people exercise. To encourage bicycling in Sweden, the Swedish government has promoted policies and proposals on national and local levels. At the same time, several pieces of research on bicycle use in Sweden show that more people are bicycling now than 60 years ago. STRADA’s (Swedish Traffic Accident Data Acquisition) reports also show that most people who are severely injured in traffic are bicyclists, and that most bicycle accidents occur in urban and metropolitan areas. Stockholm is a European city with a growing population. At the end of 2013 the population were 897 700 and it is predicted to grow by 25 % by 2030. The municipality of Stockholm is working on investment projects for bicyclists with the aim to increase accessibility and road safety such as special road safety measures at intersections that often aim at improving road conditions for both pedestrians and bicyclists, and better maintenance of bicycle paths, both in summers and winters. Critics and different debate articles about bicyclists` safety and accessibility point out that the investments that Stockholm municipality is making are not enough for meeting the growing population, especially for bicyclists. The aim of this study is to analyse the causes of bicycle accidents in the city of Stockholm. To help answer the research questions stated below, statistics on bicycle accidents were extracted in Excel from Strada and compiled in Excel using the Excel tool PivotTable and Analysis Tool Pak. The questions investigated in the thesis are as follows: when and where are bicyclists most likely to suffer an accident, why does the accident occur, and what causes are behind bicycle accidents at the chosen place of investigation? Five categorisations on the causes of single bicycle accidents were used and these were: operations and maintenance, road design, bicycle interactions, cyclists’ behaviour and conditions, and interaction with other road users. In addition to the above, a semi-structural qualitative interview was conducted with bicyclists who bicycle in or along the report's area of investigation. The results of this report show that single bicycle accidents in the investigated area have increased between 2010 and 2016, and that many bicyclists are not satisfied with the bicycle infrastructure in Stockholm.
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Leung, Sze-kwan. "Human aspects of container truck accidents : causes, effects and possible improvement measures /." [Hong Kong] : University of Hong Kong, 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13762072.
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Tripaldi, Pietro. "Industrial accidents triggered by lightning: causes and consequences." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6388/.
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Natural hazards affecting industrial installations could directly or indirectly cause an accident or series of accidents with serious consequences for the environment and for human health.
Accidents initiated by a natural hazard or disaster which result in the release of hazardous materials are commonly referred to as Natech (Natural Hazard Triggering a Technological Disaster) accidents.
The conditions brought about by these kinds of events are particularly problematic, the presence of the natural event increases the probability of exposition and causes consequences more serious than standard technological accidents.
Despite a growing body of research and more stringent regulations for the design and operation of industrial activities, Natech accidents remain a threat. This is partly due to the absence of data and dedicated risk-assessment methodologies and tools. Even the Seveso Directives for the control of risks due to major accident hazards do not include any specific impositions regarding the management of Natech risks in the process industries. Among the few available tools there is the European Standard EN 62305, which addresses generic industrial sites, requiring to take into account the possibility of lightning and to select the appropriate protection measures. Since it is intended for generic industrial installations, this tool set the requirements for the design, the construction and the modification of structures, and is thus mainly oriented towards conventional civil building.
A first purpose of this project is to study the effects and the consequences on industrial sites of lightning, which is the most common adverse natural phenomenon in Europe. Lightning is the cause of several industrial accidents initiated by natural causes. The industrial sectors most susceptible to accidents triggered by lightning is the petrochemical one, due to the presence of atmospheric tanks (especially floating roof tanks) containing flammable vapors which could be easily ignited by a lightning strike or by lightning secondary effects (as electrostatic and electromagnetic pulses or ground currents).
A second purpose of this work is to implement the procedure proposed by the European Standard on a specific kind of industrial plant, i.e. on a chemical factory, in order to highlight the critical aspects of this implementation. A case-study plant handling flammable liquids was selected. The application of the European Standard allowed to estimate the incidence of lightning activity on the total value of the default release frequency suggested by guidelines for atmospheric storage tanks. Though it has become evident that the European Standard does not introduce any parameters explicitly pointing out the amount of dangerous substances which could be ignited or released. Furthermore the parameters that are proposed to describe the characteristics of the structures potentially subjected to lightning strikes are insufficient to take into account the specific features of different chemical equipment commonly present in chemical plants.
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Saunders, Roger. "Road traffic accidents and their implications for management." Thesis, Bournemouth University, 1987. http://eprints.bournemouth.ac.uk/413/.
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It has been known for some time that police records collected by the Department of Transport could be unreliable. Local Authorities use these data as an aid to the decision making process and to assist with objective setting. Studies warning of deficiencies in the accuracy of Stats 19 police data show confusing and often differing levels of inaccuracy. Due to the atypical nature of Road Traffic Accident typology the thesis sets out to examine a methodology for use by professional safety practitioners in order to test the reliability and accuracy of existing data and to test how in an operational environment these data might be expanded to meet the needs of the practitioner responsible for education, training and publicity measures rather than the pure highway engineering function which exists at the present time. Saunders, in 'Road Safety Management in a shire county' showed how tactical objectives were set by safety practitioners but concluded that operational resource planning was a vital stepping stone between the tactical and operational objective setting phase. The thesis examines this aspect in depth from a theoretical backcloth but illustrates throughout how this is-necessary to improve management efficiency and effectiveness within a public sector organisation. The thesis examines the levels of under-reporting in the local area from a management standpoint and considers the effects this information will have on the organisation. At the same time, aids to accident analysis such as statements made to the police and methods for improving the quality and reliability of data collection in an operational setting are considered. From this, the thesis examines the current and a proposed revision of the resource base and considers how these findings affect the operational resource plan for the organisation. This, and the methodology discussed, is a necessary management consideration if it is to enable an organisation to meet its aims and objectives.
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Naji, Jamil Abdul-Rabb. "Road accident analysis in Yemen : the identification of shortcomings in road accident data, data adjustment, cost and development of road fatality model." Thesis, University of South Wales, 1996. https://pure.southwales.ac.uk/en/studentthesis/road-accident-analysis-in-yemen(8586c669-4709-4b2c-9d83-45003bc5d0bf).html.
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The true extent of the road accident problem in Yemen is questionable. Some agencies and citizens believe that the safety situation in Yemen is very critical while others disagree with this belief. Both sides however, agree that the road accident problem in Yemen is such that it requires considerable attention. Since Yemen has no history in road safety research and since there is no reliable road accident data in the country, making final judgements on the situation is difficult unless supported by adequate research. The aim of the present research is to provide a better understanding of the road accident problem in the Yemen. This can be made by investigation of the real dimensions of the road accident problem. This includes the identification of the shortcomings in road accident data, the cost of road accidents and modelling road accident fatalities.
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Leung, Sze-kwan, and 梁士琨. "Human aspects of container truck accidents: causes, effects and possible improvement measures." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31950668.
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Hernæs, Marthe Pernille Voltersvik. "Human related root causes behind oil well drilling accidents." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20384.
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Many accident investigation techniques and other methods used by the petroleum industry today list a set of underlying human related causes and subsequent improvement suggestions. Do these techniques address the root cause behind the problem so that the appropriate initiatives can be implemented? The focus of the present thesis was to determine the human related root cause of two major accidents in the North Sea. This in order to give recommendations to improve the safety levels in the organisation. In order to achieve the above-mentioned goals, the IPT Knowledge Model was adapted to the given accidents. The data input into the model was based on interpreted observations from former investigation reports. The analysis of the blowout on Snorre A and the well control incident on Gullfaks C resulted in 49 and 63 observations respectively. For both accidents, the Human Factor that was indicated to have the largest affect on the accidents was Training and Competency (29% for Snorre A and 19% for Gullfaks C). Lack of competence was indicated as the majority subclass. Collectively, management and supervision, or lack thereof, was also indicated as being a contributing factor to the accidents. These final results coincide with the findings in other investigation reports. However, these are more acute, indicating a specific area of improvement within the company. By increasing the competency levels within the company and ensuring that the leaders and management have the proper tools to follow-up their employees and their operations, the safety levels and culture will improve.
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Hiemer, Marcus. "Model based detection and reconstruction of road traffic accidents." Karlsruhe : Univ.-Verl, 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=974366552.
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Liu, Yilin. "Bayesian modelling of the spatial distribution of road accidents." Thesis, Middlesex University, 2008. http://eprints.mdx.ac.uk/13419/.
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This research aims to develop Hierarchical Bayesian models for road accident counts that take account of the spatial dependency in the neighbouring areas or sites. The Poisson log-linear model is extended by introducing a second level of random variation that includes a conditional autoregressive (CAR) component. Both models for accidents at the area level and models for accidents on a road network are developed. Areal models are fitted using data for counties and districts in England covering two different periods and data for wards in the West Midlands region in 200l. Network models are fitted to link data for the MI motorway and to junction data for the city of Coventry. Results show that, in most cases, adding a spatial (CAR) component to conventional models produces better estimates of the expected number of accidents in an area or at a site. Signs of the coefficients for explanatory variables, including level of traffic and road characteristics, are consistent with expectation. Levels of the spatial effects in a CAR model reflect the relative influence of the unknown or unmeasurable explanatory variables on the expected number of accidents. Results from models at the local authority level in the 2000s show that spatial effects are positive in London boroughs and are negative in most metropolitan districts. For accidents at the ward level in the West Midlands, the performance of the CAR model is similar to that of the non-CAR model which includes log-normal random effects and metropolitan county effects. For models of accidents on the MI, several links are identified to have positive and fairly large spatial effects. For Coventry junction accidents, the CAR model does not perform better than the non-CAR model. Approaches to including temporal effects in spatial models when data cover two or more periods and jointly modelling different types of accidents are also proposed and examined. Two applications of the CAR models developed in this research are introduced. The first application is about predicting the number of accidents in a local authority in a new year based on previous years' data. One advantage of using the CAR model is that it produces more precise predictions than the non-CAR model. The second application of the CAR model is a new approach for site ranking. The sites selected by such a criterion are those with high risks caused by some unknown or unmeasured factors for instance, curvature or gradient of roads) which are spatially correlated. Further on-site investigation will be needed to identify such factors.
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Papettas, Jenny. "The law applicable to cross border road traffic accidents." Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/5168/.
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This Thesis addresses the issue of which law should apply in cases concerning cross border road traffic accidents. From the perspective of English law it examines the changes which have been effected by the adoption of the EU Rome II Regulation, the likely outcomes of the rules of Rome II, the interaction of Rome II with the Motor Insurance Directives and the complex tripartite relationship between Rome II, the Directives and the Hague Convention on the law Applicable to Traffic Accidents. The conclusion is that Rome II represents a different and more rigid approach to choice of law than previously existed in England and Wales. The dominant aim of Rome II is that of certainty and uniformity. Nevertheless, the competing aim of achieving justice for the parties creates a residual amount of conflict and uncertainty. However, a major criticism of the drafting of Rome II, advanced by this Thesis, is that it failed to recognise the importance of insurance in the settlement of traffic accident claims and to reflect this fact in its rules. This Thesis offers some proposals for reform in this regard.
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Scott, Andrew. "The effect of police enforcement on road traffic accidents." Thesis, Edinburgh Napier University, 2010. http://researchrepository.napier.ac.uk/Output/4414.
Full textAbstract:
The primary goal of this thesis is to investigate the effectiveness of police enforcement on Road Traffic Accidents; specifically, ‘Does police enforcement activity have any real effect on levels of Killed and Seriously Injured road traffic accidents?' Data relating to forty one Police Force Areas in England and Wales was analysed by means of Zero Truncated Poisson regression, Cluster Analysis and Multilevel Modelling. Enforcement measures available to the police, for which data is available in this report, range from Prosecutions and Fixed Penalty Notices to Written Warnings and Vehicle Defect Rectification Notices. Results from the Zero Truncated Poisson regression models have significant effects (P < .05), in relation to both contemporary and lagged Annual data and contemporary Quarterly data, for all proxy variables except Prosecutions. Significant effects (P < .05) are also found for Fixed Penalty Notices lagged by two quarters, Vehicle Defect Rectification Notices and speeding related Fixed Penalty Notices lagged by one quarter. Results from Cluster Analysis verify the trend linking increased police enforcement with decreasing KSI rates. Clusters derived from population based KSI rates are more clearly defined than those using Vehicle kilometres travelled based KSI rates. Multilevel modelling found significant fixed effects (P < .05) for Fixed Penalty Notices and speeding related Fixed Penalty Notices in relation to both derived and regional clusters, linking an increase in enforcement to a decrease in the overall KSI rate. There would seem to be little doubt, based on the findings of this report, that higher levels of police enforcement, as measured here, lead to decreasing numbers of KSI accidents.
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Siddiqui, Sohaib. "U.S. Construction Worker Fall Accidents: Their Causes And Influential Factors." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1157.
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The purpose of this study is to investigate the main causes of fall accidents and, to pinpoint the factors that influence the risk of falls in the U.S. construction industry. This study employed the Integrated Management Information System (IMIS) data from the Occupational Safety and Health Administration (OSHA) to examine 9,141 fall accidents, recorded for the period of last 20 years. The results show that specialty trade contractors working on low-budget, residential housing and commercial building projects are more susceptible to fall accidents. In terms of fall height, 85% of the fall accidents occurred on heights less than 30 ft., and most of them are not equipped with a fall protection tool. The main contribution of this study is that it has specifically analyzed fall heights and the current state of usage of fall protection using actual accident data. Since there has been hardly any research done in the last decade to study falls in the U.S. construction industry, by examining the IMIS database; this study also presents updated analysis on fall accidents.
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Dufournet, Marine. "Quantification du biais de sélection en sécurité routière : apport de l’inférence causale." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE1244/document.
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Les principaux facteurs de l'insécurité routière sont connus, et l'enjeu réside aujourd'hui dans la mesure de l'effet d'un facteur, et la hiérarchisation de l'ensemble des causes intervenant dans la survenue de l'accident. Toutefois, les données disponibles concernent généralement que des accidentés. En l'absence de non-accidentés, l'épidémiologiste du risque routier se heurte à une sélection extrême. Une des solutions classiques est d'utiliser des analyses en responsabilité, et de mesurer l'effet causal d'un facteur sur le risque d'être responsable d'un accident. Néanmoins, la validité des analyses en responsabilité repose sur l'hypothèse, discutable, que les non-responsables sont représentatifs des circulants. L'objectif de cette thèse est donc de déterminer si les données disponibles d'accidentés permettent de fournir, via les analyses en responsabilité, des estimations des effets causaux sans biais, et notamment sans un biais de sélection résiduel. Nous montrons dans cette thèse que, dès lors que l'inclusion dépend de la gravité de l'accident, et que le facteur étudié a un impact sur la vitesse, il est impossible d'estimer l'effet causal du facteur sur le risque d'être responsable de l'accident grave sans un biais de sélection résiduel. Ce résultat est tout d'abord démontré de manière formelle, grâce à l'utilisation des modèles causaux structuraux. Ces modèles sont fondés sur une structure graphique, le DAG, qui représente les différentes relations entre les variables. Ce DAG permet la description des variables réellement observées, mais également des variables contrefactuelles, variables observables dans un monde contrefactuel où l'on aurait fixé l'exposition à une certaine valeur. L'effet causal étant défini à partir de ces variables contrefactuelles partiellement observées, c'est la structure du DAG qui permet de déterminer si l'effet causal peut être estimé en fonction des variables observées. Or, la structure du DAG conduisant à la survenue d'un accident grave ne permet pas d'exprimer l'effet causal du facteur étudié sur la responsabilité de l'accident grave en fonction des distributions observées sur les accidentés graves. Conditionner les estimations sur les accidentés graves correspond à ajuster sur une variable du DAG appelée « collider », et ainsi à introduire un biais dit de collision. En générant un modèle relativement simple, nous donnons à nos résultats théoriques une illustration numérique. En effet, lorsque les données ne dépendent pas de la gravité de l'accident, ou que le facteur étudié n'a pas d'effet sur la vitesse, la mesure estimable à partir des analyses en responsabilité est une mesure sans biais de l'effet causal, sous certaines hypothèses de prévalences faibles. Lorsque l'inclusion dépend de la gravité de l'accident, il existe un biais et ce biais induit par les analyses en responsabilité est d'autant plus grand que l'intensité de la relation entre le facteur et la vitesse, et celle entre la vitesse et l'accident est grand. Les schémas d'étude présentés permettent d'approcher des situations où le facteur étudié serait l'alcool ou le cannabis. Dans le cas de l'alcool, il apparait que sous le modèle simple considéré, la mesure d'association estimable serait une sous-estimation de l'effet causal. En revanche, dans le cas du cannabis, la mesure d'association correspondrait à une sur-estimation de l'effet causal. D'autre part, les outils de l'inférence causale nous ont permis de fournir une description formelle de la validité externe et interne, ainsi qu'une description formelle de la mesure d'association estimable via les analyses en responsabilité. Cette question de la validité interne d'une mesure se pose dans d'autres champs d'application que la sécurité routière. Elle se pose notamment dans le cas du paradoxe de l'obésité [etc...]Many factors associated with the risk and severity of road accidents are now widely considered as causal : alcohol, speed, usage of a mobile phone... Therefore, questions asked by decision-makers now mostly concern the magnitude of their causal effects, as well as the burden of deaths or victims attributable to these various causes of accident. One particularity of road safety epidemiology is that available data generally describe drivers and vehicles involved in road accidents only, or even severe road accidents only. This extreme selection precludes the estimation of causal effects. To circumvent this absence of « control » population of non-crash involved drivers, it is common to use responsibility analysis and to assess the causal effect of a given factor on the risk of being responsible for an accident among involved drivers. The underlying assumption is that non-responsible drivers represent a random sample of the general driving population that was « selected » to crash by circumstances beyond their control and therefore have the same risk factor profile as other drivers on the road at the same time. However, this randomness assumption is questionable. The objective of this thesis is to determine whether available data in road safety allow us to assess causal effects on responsibility without a residual selection bias. We show that a good approximation of causal effect of a given factor on the risk of being responsible is possible only if the inclusion into the dataset does not depend on the severity of the accident, or if the given factor has no effect on speed. This result is shown by using the Structural Causal Model (SCM) framework. The SCM framework is based on a causal graph : the DAG (directed acyclic graph), which represents the relationships among variables. The DAG allows the description of what we observe in the actual world, but also what we would have observed in counterfactual worlds, if we could have intervened and forced the exposure to be set to a given level. Causal effects are then defined by using counterfactual variables, and it is the DAG’s structure which determines whether causal effects are identifiable, or recoverable, and estimable from the distribution of observed variables. However, the assumptions embedded in the DAG which describes the occurence of a severe accident does not ensure that a causal odds ratios is expressible in terms of the observable distribution. Conditioning the estimations on involved drivers in a severe crash correspond to conditioning on a variable in the DAG called « collider », and to create a « collider bias ». We present numerical results to illustrate our theoretical arguments and the magnitude of the bias between the estimable association measure and some causal effects. Under the simple generative model considered, we show that, when the inclusion depends on the severity of the accident, the bias between the estimable association measure and causal effect is larger than the relation between the exposure and speed, or speed and the occurrence of a severe accident is strong. Moreover, the presented designs allow us to describe some situations where the exposure could be alcohol or cannabis intoxication. In the case of alcohol, where alcohol and speed are positively correlated, the estimable associational effect underestimates the causal effect. In the case of cannabis, where cannabis and speed are negatively correlated, the estimable associational effect overestimates the causal effect. On the other hand, we provide a formal definition of internal and external validity, and a counterfactual interpretation of the estimable quantity in the presence of selection bias, when causal effects are not recoverable. This formal interpretation of the estimable quantity in the presence of selection bias is not only useful in the context of responsibility analyses. It is for instance useful to explain the obesity paradox
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Zheng, Yunan. "The impact of localized road accident information on road safety awareness." Thesis, Connect to e-thesis, 2007. http://theses.gla.ac.uk/721/.
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Thesis (Ph.D.) - University of Glasgow, 2007.Ph.D. thesis submitted the Faculty of Information and Mathematical Sciences, Department of Computing Science. Includes bibliographical references. Print version also available.
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Cameron, Maxwell Hugh 1943. "Statistical evaluation of road trauma countermeasures." Monash University, Dept. of Mathematics and Statistics, 2000. http://arrow.monash.edu.au/hdl/1959.1/7943.
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McGuigan, David Ronald Dickson. "An examination of relationships between road accidents and traffic flow." Thesis, University of Newcastle Upon Tyne, 1987. http://hdl.handle.net/10443/492.
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In this thesis it is suggested that the cost-effectiveness of road safety expenditure on low cost engineering remedial works could be improved because the currently adopted methods for assessing expenditure priorities do not necessarily identify thosa sites at which the greatest potential for accident reduction exists. An alternative method for the generation of more cost-effective programmes of works is proposed and justified. This method adopts the rationale of identifying those sites at which accidents are occurring in higher numbers than would otherwise be expected for such sites with equivalent traffic volumes and locations. The justification for the method involves detailed statistical analyses of over 10,000 accidents occurring in Lothian Region for the years 1979-1982 which demonstrate that there are significant relationships between accidents and traffic volumes and location details (eg junction type, form of junction control, adjacent roadside development and carriageway type). On this basis, models for accident occurrence have been determined. The analyses show that the temporal distribution conforms with a Poisson process and that the spatial distribution is negative binomial. It is shown - for both links and junctions - that whilst there are significant differences between the models for different accident types, they do not, in aggregate, produce significantly better models for all accidents than simple all accident models. In addition, the importance of regression-to-mean has been established as an effect which should be accounted for not just at the monitoring stage of completed schemes but as an integral part of the initial site selection process. Finally, it is demonstrated that the proposed method, which is called Potential Accident Reduction (PAR), may provide an improvernent of cost-effectiveness of road safety expenditure of up to 25% over the currently adopted methods.
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Ayati, Esmail. "Rural road accidents in Iran: analysis, comparison and the cost." Thesis, Aston University, 1988. http://publications.aston.ac.uk/14282/.
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In the general introduction of the road-accident phenomenon inside and outside Iran, the results of previous research-works and international conferences and seminars on road-safety have been reviewed. Also a sample-road between Tehran and Mashad has been investigated as a case-study. Examining the road-accident data and iriformation, first: the information presented in road-accident reportforms in developed countries is discussed and, second: the procedures for road-accident data collection in Iran are investigated in detail. The data supplied by Iran Road-Police Central Statistics Office, is analysed, different rates are computed, due comparisons with other nations are made, and the results are discussed. Also such analysis and comparisons are presented for different provinces of Iran. It is concluded that each province with its own natural, geographical, social and economical characteristics possesses its own reasons for the quality and quantity of road-accidents and therefore must receive its own appropriate remedial solutions. The question~ of "what is the cost of road-accidents" , "why and how evaluate the cost", "what is the appropriate way of approach to such evaluation" are all discussed and then "the cost of road-accidents in Iran" based on two different approaches: "Gross National Output"and"court award" is computed. It is concluded that this cost is about 1.5 per cent of the country's national product. In Appendix 3 an impressive example is given of the trend of costs and benefits that can be attributed to investment in road-safety measures.
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Jun, Ma. "Towards a general optimal model for minimizing nighttime road traffic accidents and road lighting power consumption." Thesis, Linköping University, Communications and Transport Systems, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57232.
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Nowadays, NRTS (Nighttime Road Traffic Safety) and energy saving are very hot topics in transportation field. This thesis investigates a general optimal model for minimizing NRTAs (nighttime road traffic accidents) and power consumption of the road lighting. To establish this model, the relationship between N/D RTAs (Night to Day Road Traffic Accidents) ratio and road lighting condition and the relationship between power consumption and road lighting condition have been studied and explained. A media variable “economic cost” has been chosen which is used for making a connection between these two relationships. The evaluations of NRTAs and power consumption from cost point of view are introduced as well. The impacts of each internal factor defined by author are explained carefully. The result of the model based on these relationships and internal influencing factors is presented in the paper. Finally, the recommendations for reducing NRTAs and/or power consumption, as well as other interesting areas for further study are presented.
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Ouni, Zaïd. "Statistique pour l’anticipation des niveaux de sécurité secondaire des générations de véhicules." Thesis, Paris 10, 2016. http://www.theses.fr/2016PA100099/document.
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La sécurité routière est une priorité mondiale, européenne et française. Parce que les véhicules légers (ou simplement “les véhicules”) sont évidemment l’un des acteurs principaux de l’activité routière, l'amélioration de la sécurité routière passe nécessairement par l’analyse de leurs caractéristiques accidentologiques. Si les nouveaux véhicules sont développés en bureau d’étude et validés en laboratoire, c’est la réalité accidentologique qui permet de vraiment cerner comment ils se comportent en matière de sécurité secondaire, c’est-à-dire quelle sécurité ils offrent à leurs occupants lors d’un accident. C’est pourquoi les constructeurs souhaitent procéder au classement des générations de véhicules en fonction de leurs niveaux de sécurité secondaire réelle. Nous abordons cette thématique en exploitant les données nationales d’accidents corporels de la route appelées BAAC (Bulletin d’Analyse d’Accident Corporel de la Circulation). En complément de celles-ci, les données de parc automobile permettent d’associer une classe générationelle (CG) à chaque véhicule. Nous élaborons deux méthodes de classement de CGs en termes de sécurité secondaire. La première produit des classements contextuels, c’est-à-dire des classements de CGs plongées dans des contextes d’accident. La seconde produit des classements globaux, c’est-`a-dire des classements de CGs déterminés par rapport à une distribution de contextes d’accident. Pour le classement contextuel, nous procédons par “scoring” : nous cherchons une fonction de score qui associe un nombre réel à toute combinaison de CG et de contexte d’accident ; plus ce nombre est petit, plus la CG est sûre dans le contexte d’accident donné. La fonction de score optimale est estimée par “ensemble learning”, sous la forme d’une combinaison convexe optimale de fonctions de score produites par une librairie d’algorithmes de classement par scoring. Une inégalité oracle illustre les performances du méta-algorithme ainsi obtenu. Le classement global est également basé sur le principe de “scoring” : nous cherchons une fonction de score qui associe à toute CG un nombre réel ; plus ce nombre est petit, plus la CG est jugée sûre globalement. Des arguments causaux permettent d’adapter le méta-algorithme évoqué ci-dessus en s’affranchissant du contexte d’accident. Les résultats des deux méthodes de classement sont conformes aux attentes des expertsRoad safety is a world, European and French priority. Because light vehicles (or simply“vehicles”) are obviously one of the main actors of road activity, the improvement of roadsafety necessarily requires analyzing their characteristics in terms of traffic road accident(or simply “accident”). If the new vehicles are developed in engineering department and validated in laboratory, it is the reality of real-life accidents that ultimately characterizesthem in terms of secondary safety, ie, that demonstrates which level of security they offer to their occupants in case of an accident. This is why car makers want to rank generations of vehicles according to their real-life levels of safety. We address this problem by exploiting a French data set of accidents called BAAC (Bulletin d’Analyse d’Accident Corporel de la Circulation). In addition, fleet data are used to associate a generational class (GC) to each vehicle. We elaborate two methods of ranking of GCs in terms of secondary safety. The first one yields contextual rankings, ie, rankings of GCs in specified contexts of accident. The second one yields global rankings, ie, rankings of GCs determined relative to a distribution of contexts of accident. For the contextual ranking, we proceed by “scoring”: we look for a score function that associates a real number to any combination of GC and a context of accident; the smaller is this number, the safer is the GC in the given context. The optimal score function is estimated by “ensemble learning”, under the form of an optimal convex combination of scoring functions produced by a library of ranking algorithms by scoring. An oracle inequality illustrates the performance of the obtained meta-algorithm. The global ranking is also based on “scoring”: we look for a scoring function that associates any GC with a real number; the smaller is this number, the safer is the GC. Causal arguments are used to adapt the above meta-algorithm by averaging out the context. The results of the two ranking procedures are in line with the experts’ expectations
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Odero, Wilson Washington Omole. "Road traffic injuries and alcohol in Eldoret, Kenya : epidemiology and policy analysis." Thesis, London School of Hygiene and Tropical Medicine (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251919.
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Vokurka, Christopher. "Relating wildlife crashes to road reconstruction." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1317334891&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.
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Narine, Ganesh. "Causes and Prevention of Electric Power Industry Accidents: A Delphi Study." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7495.
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The electric power industry is very complex, dangerous, and challenging. The number of workplace accidents declined over the last decade, but worker injuries and fatalities continue to occur. The purpose of this Delphi study was to gain consensus regarding the most feasible and desirable methods to prevent accidents and deaths. The research question focused on gaining consensus from a panel of experts regarding the most desirable and feasible solutions to fatal and serious workplace accidents in the United States. The Bolman and Deal 4-frame model proved useful for understanding challenges within the electric industry and how workers and leaders can work together to best prevent accidents. Twenty-seven managers, trainers, supervisors, and workers, each with more than 10 years of experience in the United States electric power industry, responded to 30 items in the first round. The responses from the first round, where 70% or more of participants agreed, were analyzed using the NVivo 12 Plus software. Consensus occurred after each round: In the first round through the solutions participants provided. In the second round and later rounds, consensus occurred through acceptance of items with scores of 3 or higher on a 5-point Likert-type scale endorsed by 70% or more respondents. Participants decided if the solutions were desirable and feasible in the second round, and important and credible in rounds third and fourth. Participants concurred that organizational leadership, managers, supervisors, and workers were in different ways responsible for accident prevention. Supervisors and managers who communicated organizational priorities, and demanded strict compliance with policies, rules, and procedures, promote social change in a highly specialized industry.
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Mollet, C. J. "The analysis of road traffic accident data in the implementation of road safety remedial programmes." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52483.
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Thesis (M.Ing.)--Stellenbosch University, 2001.ENGLISH ABSTRACT: A road safety remedial programme has as an objective the improvement of road transportation safety by applying road safety engineering remedial measures to hazardous road network elements in a manner that will be economically efficient. Since accident data is the primary manifestation of poor safety levels it must be analysed in manner that will support the overall objective of economic efficiency. Three steps in the process of implementing a road safety remedial programme, that rely on the systematic analysis of accident data, are the identification of hazardous locations, the ranking of hazardous locations and the evaluation of remedial measure effectiveness. The efficiency of a road safety remedial programme can be enhanced by using appropriate methodologies to measure safety, identify and rank hazardous locations and to determine the effectiveness of road safety remedial measures. There are a number of methodologies available to perform these tasks, although some perform much better than other. Methodologies based on the Empirical Bayesian approach generally provide better results than the Conventional methods. Bayesian methodologies are not often used in South Africa. To do so would require the additional training of students and engineering professionals as well as more research by tertiary and other research institutions. The efficiency of a road safety remedial programme can be compromised by using poor quality accident data. In South Africa the quality of accident data is generally poor and should more attention be given to the proper management and control of accident data. This thesis will report on, investigate and evaluate Bayesian and Conventional accident data analysis methodologies.
AFRIKAANSE OPSOMMING: Die doel van 'n padveiligheidsverbeteringsprogram is om op die mees koste effektiewe manier die veiligheid van onveilige padnetwerkelemente te verbeter deur die toepassing van ingenieursmaatreëls. Aangesien padveiligheid direk verband hou met verkeersongelukke vereis die koste effektiewe implementering van 'n padveiligheidsverbeteringsprogram die doelgerigte en korrekte ontleding van ongeluksdata. Om 'n padveiligheidsverbeteringsprogram te implementeer word die ontleding van ongeluksdata verlang vir die identifisering en priortisering van gevaarkolle, sowel as om die effektiwiteit van verbeteringsmaatreëls te bepaal. Die koste effektiwiteit van 'n padveiligheidsverbeteringsprogram kan verbeter word deur die regte metodes te kies om padveiligheid te meet, gevaarkolle te identifiseer en te prioritiseer en om die effektiwiteit van verbeteringsmaatreëls te bepaal. Daar is verskeie metodes om hierdie ontledings te doen, alhoewel sommige van die metodes beter is as ander. Die 'Bayesian' metodes lewer oor die algemeen beter resultate as die gewone konvensionele metodes. 'Bayesian' metodes word nie. in Suid Afrika toegepas nie. Om dit te doen sal addisionele opleiding van studente en ingenieurs vereis, sowel as addisionele navorsing deur universiteite en ander navorsing instansies. Die gebruik van swak kwaliteit ongeluksdata kan die integriteit van 'n padveiligheidsverbeteringsprogram benadeel. Die kwaliteit van ongeluksdata in Suid Afrika is oor die algemeen swak en behoort meer aandag gegee te word aan die bestuur en kontrole van ongeluksdata. Die doel van hierdie tesis is om verslag te doen oor 'Bayesian' en konvensionele metodes wat gebruik kan word om ongeluksdata te ontleed, dit te ondersoek en te evalueer.
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McLundie, W. M. "Investigation of Two-Wheeled Road Traffic Accidents using Explicit FE Techniques." Thesis, Cranfield University, 2007. http://hdl.handle.net/1826/3170.
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With the increase of road traffic accidents increasing due to motorised traffic
in the developing world growing alongside the more traditional bicycles and
light motorcycles there is good reason to re-examine the two-wheeler case. In
addition, if you include the large congestion charge scheme now underway in
London and similar projects being considered in other cities globally, there is
an even stronger case. These schemes encourage commuters to get back
onto two wheels but with a potential increase in road traffic accidents.
The development of Explicit Finite Element Analysis (FEA) over the last 15
years, and large improvements in solver times has made examination of
complex impact events achievable. As an extension of this knowledge it is
now beginning to be feasible to consider the complex case of injury to
vulnerable road users (VRU's).
This thesis describes why two-wheeler accidents are increasingly relevant,
and the details of which injuries are most common in each particular case.
From physical testing, bicycle models for adult and child cases were created
and the most relevant car to cyclist accident scenarios re-constructed.
Existing humanoid models and vehicle models were adapted to understand
biomechanical effects in the collision.
The results show that although there is great variation due to this complex
event in terms of biomechanical and frictional effects and therefore the
resulting kinematics, as a mathematical method of investigating future protection devices it should be possible to gain a greater understanding of
their effects in the real world. To this end a final section detailing the
development of active and passive technologies (including structural
optimisation techniques) has been included.
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Edwards, Julia Bethan. "The influence of weather on road accidents in England and Wales." Thesis, Cardiff University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420404.
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Stewart, Douglas Lunan. "Safety implications of driver misperception in road accidents involving child pedestrians." Thesis, University of Aberdeen, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358258.
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Accidents to child pedestrians are usually blamed on their inexperience and carelessness. This thesis proposes instead that the main problem is a form of driver error, overestimation of time-to-collision. When drivers have to make critical decisions about braking, time-to-collision may be much longer than can be reliably judged from optic flow. They therefore have to obtain time-to-collision indirectly from distance and speed. The main cue for distance is familiar size, so if a driver tends to misperceive a child as a larger person at a greater distance, he would overestimate time-to-collision. Risk of accident would therefore increase. That hypothesis is supported by a new collision simulation, which replicates a braking manoeuvre. An experiment based on the simulation supports the hypothesis, and allows influences on accidents to be predicted. These are tested from national accident statistics, which indicate that over half of all child pedestrian casualties would not occur but for this driver error. Several remedial measures are proposed. The experiment not only supports that hypothesis. It also suggests that the cognitive process by which time-to-collision is obtained from optic flow differs from that generally assumed - processing angular distance and angular velocity by the algorithm θ/θ. An alternative algorithm 2theta/θis proposed, where θ is angular acceleration, which provides the same value of time-to-collision without the need for angular distance. The new algorithm is supported by further experiment, and provides an understanding of situations which were difficult to reconcile with the θ/θ hypothesis. Our ability to respond to moving objects which are very small, of variable shape, visible only briefly, or changing speed, becomes more understandable. Though primarily related to pedestrian safety, therefore, the work reported in this thesis could have far wider application.
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Grant, Timothy A. "Prehospital Staffing and Road Traffic Accidents: Physician Versus Trained Nonphysician Responders." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/237.
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Road traffic deaths, which affect people in their productive years, are projected to be the third leading cause of death by the year 2030. While most studies have focused on road infrastructure and vehicle safety, this study examined something new: the impact of prehospital response to road traffic accidents on the rate of death. Some countries send physicians to the scene of an accident; some send paramedics or registered nurses. The question this research sought to answer was whether the use of physician responders resulted in a lower rate of death compared to the use of nonphysician responders. The literature makes it clear that rate of road traffic death is related to country income and governance indicators, so first those variables needed to be equalized. My conceptual framework for this cross-sectional correlation study was the Haddon matrix, which organizes injuries by temporal (pre-event, event, and postevent) and epidemiological (host, agent, and environment) factors. Using World Health Organization data on road traffic injury and country income, World Bank data on governance indicators, and a literature search of 67 countries' prehospital response profiles, significant negative correlations (p > 0.001) were found for road traffic deaths and income, r (65) = -0.68, and governance indicators, r (65) = -0.646. No significant difference in the rate of road traffic death was found between physician and nonphysician prehospital staffing. Because increasing countries' income and improving governance are long-term, ambitious goals for developing countries, training nonphysician prehospital responders appears to be the most effective social change to decrease the burden of road traffic deaths.
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Sheikh, Mohammad Mizanur Rahman. "A statistical analysis of road traffic accidents and casualties in Bangladesh." Thesis, Edinburgh Napier University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506322.
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A statistical analysis was conducted for road traffic accidents and associated casualties in Bangladesh. This was undertaken in order to assist the policymakers to take appropriate steps to be reduced the road traffic accidents and the associated casualties. Secondary data (collecting from Bangladesh government publications) were explored, analysed and modelled statistically. An exploration was undertaken using the averages (per annum) of rates of KSI/ fatal casualty, accident and involved vehicles applying Bar-charts. In addition, annual time series data were investigated using trend lines. A detailed analysis of variances was conducted using the rates (per 10,000 populations) of BRTA traffic accident and casualty data applying mainly non-parametric tests. Time series; one-way and two /three-way classified data are analysed applying linear regression model; Mann-Whitney or Kruskal-Wallis tests and Univariate regression model respectively. Finally, modelling of two/ three-way data was conducted using the frequencies of fatal casualty, fatal accident and involved vehicles applying Poisson regression. The most significant findings from this research were that pedestrians are highly involved in the casualty figures. Fatal hit pedestrian is the main collision type accident. Maximum fatal accidents occur at out of junction. Cities have higher accident and casualty rates than that for non-cities (divisions/ districts, excluding cities). In particular, Rajshahi city and Dhaka city have the highest accident rates. National highways are the main venues of accidents and casualties. Heavy vehicles including buses and trucks are predominantly involved in casualty accident. Implications from this research have been considered and suitable recommendations have been made.
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Nnajjuma, Hellen. "Road Traffic Accidents in Uganda in view of Taxi Drivers Masaka District." Thesis, Norges teknisk-naturvitenskapelige universitet, Psykologisk institutt, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25303.
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The aim of this study was to explore how psychosocial lived experiences of taxi drivers explain accident involvement in Uganda. Face to face in-depth semi-structured interviews were conducted with six male taxi drivers who survived accidents while driving and still served as taxi drivers. The sample was identified with purposive and snowball sampling techniques. Ethical considerations were observed during data collection through transcription, analysis to the final compilation. Interpretive phenomenological analysis (IPA) was employed to each participant’s discernment of the specific and general accounts of accident narratives in a bid to make "sense" of their lived worlds as drivers and accident involvement. Three superordinate themes illuminating accidents emerged out of the data: typical routines of taxi drivers; the socio-cultural context; and the taxi drivers’ community. These were discussed based on relevant theories and previous studies as well as pertinent concepts. Considering the study results, typical routines of taxi drivers, driver community factors and social/cultural factors affect each other, these together leave driver-accident involvement inevitable. Categorically such factors include; age, formal education, driving training, driver health status, domestic concerns, significant others, competitive driving / worse-worse, other road users, Impulsive pick and drop-off of passengers, theft, driver stress, state of the road, state of the vehicle among others. Thus behavioural and cognitive remedies are herein suggested towards ameliorative and/or transformative processes of the accident endemic.
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Hamza, Mohamed Ali D. "A study of road accidents, causalities and their injury patterns in Libya." Thesis, University of Newcastle Upon Tyne, 2005. http://hdl.handle.net/10443/225.
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This study examines the characteristics and details of road accidents that occurred in Libya between 1966 and 2000. The accident rate in Libya, on any comparable basis, is much larger than that in the Europe and USA and the culture of recording data and creating accident statistics is not well established. This work is the first attempt of any kind to collect and examine such data. Information was obtained from several sources in Libya during three field trips by the author during the course of this study. The numbers of road traffic accidents and casualties were obtained from the office of the Libyan Directorate General of Traffic based in Tripoli and the details of licensed vehicles and population statistics were obtained from the Secretariat of Planning. This data was examined using established methods used in the UE and USA to determine the utility of the accepted analysis methods in the Libyan situation. The overall results indicated that motor vehicle accidents are the most common single cause of avoidable death and disabilities in Libya averaging 3.4 per day. The reason for this is based on several factors peculiar to Libya such as the poor state of the infrastructure, the lack of road safety features, the aging vehicle population and the lack of adequate medical facilities. The data collected was divided into different categories to enable the examination of pedestrian casualties, the impact of vehicle occupancy, the age and condition of the vehicle involved and the age and sex of the victim. Each of these categories was further subdivided to provide a further detailed analysis. The results obtained from the analysis showed the utility of the established analysis methods. The results broadly agreed with the findings of other workers but indicated a higher incident rate than had been recorded in developing countries such as South Africa and Saudi Arabia and were much larger than the USA and Europe. This thesis concludes by suggesting ways in which pedestrian and traffic safety can be improved in Libya and makes recommendations with regard to improving the accident data collection and reporting methods. It is considered that this work, being the first of its kind to address road traffic accidents in Libya, has highlighted many contributory infrastructure aspects the effect of which can be reduced if the recommendations of this thesis are implemented.
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Ladi, Hj Supry Hj Ag. "Geographical information systems coupled prediction modelling of road traffic accidents in Brunei." Thesis, University of East London, 2006. http://roar.uel.ac.uk/3402/.
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The analysis of road accident data has led to the development of a number of prediction models to allow testing of road improvement schemes. However, the advances in Information Technology and particularly within the field of Geographical Information Systems (GIS) has enabled it to be linked with applied sciences such as Fluid Mechanics, Highway Design and Traffic Engineering to create a "loosely" to "tightly coupled" GISbased system. Such a system allows correction and simulation tasks to be performed whenever necessary. This approach has been applied to the problem in Brunei where they are at the initial stage towards realising the importance of road-safety research. This work has been proved to contribute tangible benefits for the Brunei road safety authorities. ArcGIS software was used to produce clusters of road accidents along a road and create a road accident database linked with the Brunei road network which form the initial stage of this research. The research develops a new 'Modified Voronoi Process' (MVP) for the identification of accident hotspots along a road. This technique uses a combination of GIS functionalities with Microsoft Excel software. The establishment of a Hotspot Zone dimension (HZD) within the MVP is creative and is very beneficial for Brunei road safety authorities and other researchers. The technique incorporates Brunei road accident hotspot definition established by the author. The final outcome of this research is the development of a GIS-based Road Accident Prediction System and is an innovation and enhancement to the world of road accident prediction system and particularly in Brunei. The system incorporates an external prediction model, which is "tightly coupled" or integrated with a GIS. The coupling enables the prediction to be carried out on a single platform for easy input and computation. The system was tested using accident data acquired from manually recorded 24-hour police reports and statistical software used to analyse the sensitivity of accident locations. The system was also used for a sensitivity analysis of the application of the United States Federal Highway Agency (USFHA) prediction model on a segment of road in Brunei.
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Memon, A. Q. "Modelling road accidents from national datasets : a case study of Great Britain." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1354623/.
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This study investigates the occurrence of road traffic accidents in Great Britain at a national scale. STATS 19 data for road accidents, vehicles involved in road accidents and casualties occurring over several years were analysed and modelled using various statistical techniques. The main aims of this research were to investigate the use of different statistical model formulations and to investigate the numbers of road accidents, casualties, and vehicles involved that occur on each day. Generalized linear model (GLM), generalized estimation equation (GEE), and hierarchical generalized linear model (HGLM) formulations were investigated for this purpose. The variables of weekday 3 (weekday, Saturday, Sunday), seasons (Spring, Summer, Autumn, Winter), month, time, Public holidays, Christmas holidays, new-year holidays, road type and vehicle class, together with certain interactions between them, were found to be important in developing models of risk per unit of distance travel. Additional variables of distance travelled per vehicle, vehicles per head of population, population density, meteorological factors were also investigated, and population, age group and gender were used to develop models of casualty rate per person-year. The GLM model structure with log link function was found to fit data for the occurrence of road accidents reasonably well when the negative binomial distribution was adopted to accommodate over-dispersion beyond Poisson levels. The GEE with negative binomial error together with autoregressive (AR1) structure was preferred over the GLM as it can also accommodate serial correlation that was found to be present in the data due to the natural order of the observations. The coefficients and significance levels of some variables were found to change significantly if the presence of serial correlation is not respected. Finally HGLM with Poisson-gamma errors and log link function was used to estimate the number of casualties involved in road accidents on each day. The advantage of HGLM over GLM and GEE is that it can account for variability within and between clusters using both random effects and dispersion modelling: this was found to be substantial. However, unlike GEE, HGLM cannot accommodate time series structure so that the coefficients and the associated standard errors of some of the variables should be viewed with caution. From the model results, it is found that distance travelled provided a good measure of exposure to risk in most cases, and that each of distance travelled per vehicle, population density and rain is associated with greater risk for road accident per unit of travel whereas risk diminishes with increase in each of numbers of vehicles per person and mean minimum monthly temperature. The risk per unit of travel was also estimated for each of 5 classes of vehicles on each of 5 different kinds of roads. Finally the age and gender specific rate of casualty per person-year was estimated for each combination of age group and gender. The results obtained from this study will lead to the promotion of safe usage of road and vehicle class combinations by raising travellers’ awareness. On the other hand the casualty rates estimated for each of the 8 age groups and two gender groups by vehicle class will help to identify those that need more attention. These results will help various educational, planning, and rescue agencies to identify target groups for education and engineering initiatives to improve road safety.
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Hiemer, Marcus [Verfasser]. "Model based detection and reconstruction of road traffic accidents / von Marcus Hiemer." Karlsruhe : Univ.-Verl. Karlsruhe, 2005. http://d-nb.info/974366552/34.
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Abdalla, Ibrahim Mohamed. "Statistical investigation and modelling of relationships between road accidents and social characteristics." Thesis, Edinburgh Napier University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.682566.
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Chan, Wing-yee. "An application of GIS for road accident analysis in Hong Kong /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B23294577.
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Kayi, Calvine. "An analysis of road traffic accidents using Geographic Information Systems (GIS) : the case of Nairobi City, Kenya /." Hamburg : Kovač, 2007. http://www.verlagdrkovac.de/978-3-8300-3247-2.htm.
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