Relevant bibliographies by topics / Road accident statistics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Road accident statistics'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Road accident statistics"

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KADOYA, Chitoshi. "Road Accident Statistics." Journal of UOEH 10, no. 2 (1988): 233. http://dx.doi.org/10.7888/juoeh.10.233.

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Saccomanno, F. F. "Road accident statistics." Canadian Journal of Civil Engineering 16, no. 5 (October 1, 1989): 784–85. http://dx.doi.org/10.1139/l89-119.

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Giddings, D. R., and T. P. Hutchinson. "Road Accident Statistics." Statistician 38, no. 1 (1989): 82. http://dx.doi.org/10.2307/2349028.

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Jackson, R. H. "Road Accident Statistics." Archives of Disease in Childhood 63, no. 6 (June 1, 1988): 686. http://dx.doi.org/10.1136/adc.63.6.686-a.

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Adams, John G. U. "Road accident statistics." Journal of Occupational Accidents 10, no. 4 (April 1989): 305–6. http://dx.doi.org/10.1016/0376-6349(89)90023-0.

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Larkin, Robert F. "Road accident statistics." American Journal of Emergency Medicine 7, no. 1 (January 1989): 117–18. http://dx.doi.org/10.1016/0735-6757(89)90108-3.

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Macaulay, M. A. "Road accident statistics." International Journal of Impact Engineering 7, no. 3 (January 1988): 369. http://dx.doi.org/10.1016/0734-743x(88)90039-5.

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Imran, Muhammad, and Jamal Abdul Nasir. "ROAD TRAFFIC ACCIDENTS." Professional Medical Journal 22, no. 06 (June 10, 2015): 705–9. http://dx.doi.org/10.29309/tpmj/2015.22.06.1235.

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Objective: To determine the trend of road traffic accidents (RTAs) and forecastingtheir incidence is an emerging to take safety measures so that general public health relatedmorbidity and mortality can be minimized. Setting: The data for present study has been takenfrom Pakistan bureau of statistics (statistics House). Period: January 2002-2003 to December2011-2012. Methods: A set of eleven curve fitting models namely linear, quadratic, cubic,logarithmic, inverse, exponential growth model, logistics-curve ,and compound models werecarried out for prediction. Results: Under the descriptive analysis, the annual average numberof fatal and non-fatal accidents is 43.3% and 56.7% respectively. In provinces Punjab contributesto a high rate of total number of accidents, while Khyber Pakhtunkhwa, Sindh and Baluchistanplaced second, third and fourth respectively. Under the curve fitting estimation, the cubicmodel was selected for predicting the annual traffic road accident for all categories i.e.(i) Total Number of Accident (ii) Fatal Accident (iii) Non-Fatal Accident (iv) Killed People(v) Injured People and (vi) The Number of Vehicle Involved. Rising trend in all categoriesare expected in Pakistan. Conclusions: The traffic road accident is expected to rise in Pakistan.
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Jaśkiewicz, Marek, and Rafał Jurecki. "The analysis of safety on Polish roads between 2000 - 2010." Transport and Communications 1, no. 1 (2013): 8–14. http://dx.doi.org/10.26552/tac.c.2013.1.3.

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This article provides an assessment of the security situation on Polish roads. Statistical data on road accidents that occurred in different provinces in late 2000 - 2010 were analysed and the attention was drawn to the differences in the number of road accidents recorded between them. The analysis of accident statistics and the effects they had on particular provinces was made. They were presented for Świętokrzyskie province and compared to other provinces.
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Jaśkiewicz, Marek, and Jacek Jaskólski. "The analysis of safety on the polish roads between 2001 and 2016." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 18, no. 9 (September 30, 2017): 20–23. http://dx.doi.org/10.24136/atest.2017.033.

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This article uses statistics on road accidents in Poland from police and GUS (Central Statistical Office) data. The most common causes of road accidents are presented. Graphically presented accident rates both for the whole country and for every voivodeship separetely in the years 2001-2016. Analysis of the impact of the changes in traffic code on safety on public roads in Poland was made as well as the most and least safe voivodeship.
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Dissertations / Theses on the topic "Road accident statistics"

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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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Fawaz, Bachir Ahmad. "Estimating the area wide effects of engineering measures on road accident frequency." Thesis, University of Liverpool, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316595.

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Morkūnas, Evaldas. "Eismo įvykių Lietuvos automobilių keliuose apskaitos sistemos analizė ir vertinimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140611_130217-03109.

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Šiame magistro darbe išanalizuota Lietuvos eismo įvykių apskaitos sistema, sudaryta iš duomenų rinkimo, įvedimo ir teikimo proceso, kurį atlieka policijos įstaigų darbuotojai. Darbe išsamiai išnagrinėti Lietuvos norminiai dokumentai, reglamentuojantys eismo įvykių apskaitos procesą. Analizės rezultatams apibendrinti yra skurti pirminių veiksmų, duomenų pasiskirstymo ir teikimo bei ikiteisminio tyrimo medžiagos panaudojimo grafiniai modeliai. Taip pat išsamiai išnagrinėtas Europos Sąjungoje atliekamas eismo įvykių apskaitos procesas. Darbe pateiktas eismo įvykių duomenų apskaitos programinės sistemos detalus vertinimas su rekomendacijomis, kaip patobulinti sistemą siekiant užtikrinti išsamesnius, tikslesnius oficialios statistikos eismo įvykių duomenis. Baigiamojo darbo apimtis – 81 psl. teksto be priedų, 19 lentelių ir 13 paveikslų.
In this Master Thesis analysis of Lithuanian road accident management system, which consists data collecting, adding and provision process have been done. Lithuanian normative documents which governs road accident management process are purely explored in this Master Thesis. To generalize analysis results have been created primary respond, data distribution and provision, data usage of pre-trial process graphical models. Also a part of the work reveals detailed analysis of accident data management of European Union countries. In this paper is provided detailed evaluation of road accident data management software system and recommendations to ensure more detailed road accidents data of official statistics by improving system. Master Thesis consists of 81 pages pure text without appendixes, 19 tables and 13 pictures.
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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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Fawcett, Lee, Neil Thorpe, Joseph Matthews, and Karsten Kremer. "A novel Bayesian hierarchical model for road safety hotspot prediction." Elsevier, 2016. https://publish.fid-move.qucosa.de/id/qucosa%3A72268.

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In this paper, we propose a Bayesian hierarchical model for predicting accident counts in future years at sites within a pool of potential road safety hotspots. The aim is to inform road safety practitioners of the location of likely future hotspots to enable a proactive, rather than reactive, approach to road safety scheme implementation. A feature of our model is the ability to rank sites according to their potential to exceed, in some future time period, a threshold accident count which may be used as a criterion for scheme implementation. Our model specification enables the classical empirical Bayes formulation – commonly used in before-and-after studies, wherein accident counts from a single before period are used to estimate counterfactual counts in the after period – to be extended to incorporate counts from multiple time periods. This allows site-specific variations in historical accident counts (e.g. locally-observed trends) to offset estimates of safety generated by a global accident prediction model (APM), which itself is used to help account for the effects of global trend and regression-to-mean (RTM). The Bayesian posterior predictive distribution is exploited to formulate predictions and to properly quantify our uncertainty in these predictions. The main contributions of our model include (i) the ability to allow accident counts from multiple time-points to inform predictions, with counts in more recent years lending more weight to predictions than counts from time-points further in the past; (ii) where appropriate, the ability to offset global estimates of trend by variations in accident counts observed locally, at a site-specific level; and (iii) the ability to account for unknown/unobserved site-specific factors which may affect accident counts. We illustrate our model with an application to accident counts at 734 potential hotspots in the German city of Halle; we also propose some simple diagnostics to validate the predictive capability of our model. We conclude that our model accurately predicts future accident counts, with point estimates from the predictive distribution matching observed counts extremely well.
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Prčík, Stanislav. "Vybraná měření pohybu jízdních kol - brzdění a jízda v oblouku." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-232552.

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Diploma thesis Selected measurements of the motion of bicycles – braking and ridein the curve analyses problematic manoeuvres of bicycle riders according to the most typical accidents including bikes. There will be given statistics of bikers´ participation on accident amount that happened within last few years. The measurements of bicycles moving around bands of specific radiuses as a situation of most bicycle accidents will be described in the next part of this thesis. There will be also specified the values of average bicycle speeds when driving in curves with various radiuses according to types of bicycles, sex and experiences of the riders and will be an output of this thesis. Further on there will be measurements of braking in the direct line on various surfaces with different types of bikes and different brakes used.
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Caviedes, Cómbita Àlvaro Alfonso. "Exploring the Determinants of Vulnerable Road Users' Crash Severity in State Roads." PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/4062.

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Pedestrians and bicyclists are the most vulnerable road users and suffer the most severe consequences when crashes take place. An extensive literature is available for crash severity in terms of driver safety, but fewer studies have explored non-motorized users' crash severity. Furthermore, most research efforts have examined pedestrian and bicyclist crash severity in urban areas. This study focuses on state roads (mostly outside major urban areas) and aims to identify contributing risk factors of fatal and severe crashes involving pedestrians and bicyclists in state roads. Two ordinal regression models were developed (one for pedestrian and the other for bicyclist crashes) to examine crash severity risk factors. Additional models were developed to investigate road and traffic characteristics that could increase the likelihood of fatal crashes. In the model for pedestrian crash severity risk factors such as age, vehicle type and movement, light conditions, road classification, traffic control device, posted speed limit, location of the pedestrian and wet road surface during clear weather conditions are statistically significant. The bicyclist crash severity model indicates that age, crash location, vehicle movement and alcohol intoxication during dark conditions are statistically significant. In terms of road characteristics and traffic conditions, the models suggested risk factors such as arterials, light conditions, posted speed limit, roadways, and high heavy vehicle volume, increased the odds of a crash being fatal. The results seem to suggest that besides improvements in roadway characteristics, additional countermeasures to reduce crash severity for vulnerable users should include separation of vulnerable users from traffic, educational campaigns, more strict control of alcohol intoxicated drivers, and protection strategies of senior pedestrians.
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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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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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Tunaru, Radu. "Statistical modelling of road accident data via graphical models and hierarchical Bayesian models." Thesis, Middlesex University, 1999. http://eprints.mdx.ac.uk/8030/.

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The objective of this thesis is to develop statistical models for multivariate road accident data. Two directions of research are followed: graphical modelling for contingency tables cross-classified by accident characteristics, and hierarchical Bayesian models for multiple accident frequencies of different types modelled jointly. Multi-dimensional tables are analysed and it is shown how to use collapsibility to reduce the dimensionality of the analysis without the problems of Simpson's paradox. It is revealed that accident severity and the number of casualties are associated, and that these variables are mainly influenced by the number of vehicles and speed limit. Graphical chain models allow causal hypotheses to be formulated and it is shown how they are valuable tools for empirical research about road accident characteristics. The hierarchical Bayesian models developed combine generalized linear models with random effects. The novelty of these models consists in the joint modelling of multiple response variables. The models account for overdispersion and they are used for accident prediction and for ranking hazardous sites. All models are fully Bayesian and are fitted using Markov Chain Monte Carlo methods. It is shown that multiple response variables models are superior to separate univariate response models. Some theoretical problems are examined regarding the maximum likelihood estimation process for the two parameters negative binomial distribution. A condition is given that is equivalent with unique maximum likelihood estimators. The two directions of research are connected by using graphs to describe the models. In addition, a new Bayesian model selection procedure for contingency tables is proposed. This is based on Gibbs sampling and avoids problems associated with asymptotic tests. The conclusions revealed here can help practitioners to design better safety policies and to spend money more wisely on sites that really are dangerous.
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Books on the topic "Road accident statistics"

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Road accident statistics. Adelaide, S. Aust: Rumsby Scientific Pub., 1987.

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Saunders, R. A. Reliability of road accident statistics. Poole: Dorset Institute, 1987.

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Constabulary, Royal Ulster. Road traffic accident statistics: Annual report. [Belfast]: Royal Ulster Constabulary, 1986.

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Unit, Royal Ulster Constabulary Central Statistics. Road traffic accident statistics: Annual report. Belfast: Force Publications Branch, 1999.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. [Belfast]: Royal Ulster Constabulary, 1994.

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Great Britain. Government Statistical Service. Road accident statistics: English region 1987. London: H.M.S.O., 1989.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. Belfast: HMSO, 1996.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. Belfast: Force Publications Branch, 1997.

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Great Britain. Government Statistical Service. Road accident statistics: English regions 1988. London: H.M.S.O., 1990.

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Royal Ulster Constabulary. Central Statistics Unit. Road traffic accident statistics: Annual report. Belfast: Force Publications Branch, 1998.

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Book chapters on the topic "Road accident statistics"

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Meißner, Katherina, Cornelius Rüther, and Klaus Ambrosi. "Detecting Changes in Statistics of Road Accidents to Enhance Road Safety." In Operations Research Proceedings, 67–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89920-6_10.

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Arora, Yash Kumar, and Santosh Kumar. "Statistical Approach to Predict Road Accidents in India." In Advances in Intelligent Systems and Computing, 189–96. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9515-5_18.

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Nasridinov, Aziz, Kwan-Hee Yoo, and Tae-Kyung Lee. "A Statistical Correlation Analysis on Road Accidents in South Korea." In Lecture Notes in Electrical Engineering, 679–82. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1536-6_88.

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Deb, Tapajyoti, Niti Vishwas, and Ashim Saha. "Statistical Analysis of Road Accident Data of UK Using Operational Intelligence Tool - Splunk." In Advances in Computational Intelligence, Security and Internet of Things, 111–19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3666-3_10.

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Vadhwani, Diya, and Devendra Thakor. "Statistical Analysis of Vehicle Detection in the ITS Application for Monitoring the Traffic and Road Accident Using Internet of Things." In Lecture Notes in Electrical Engineering, 55–70. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6229-7_5.

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Vadhwani, Diya, and Devendra Thakor. "Comparative Analysis of Statistical Methods for Vehicle Detection in the Application of ITS for Monitoring Traffic and Road Accidents Using IoT." In Lecture Notes on Data Engineering and Communications Technologies, 355–61. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4474-3_39.

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Gorman, Sara E., and Jack M. Gorman. "Risk Perception and Probability." In Denying to the Grave. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780199396603.003.0010.

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Each day, when you take your morning shower, you face a 1 in 1,000 chance of serious injury or even death from a fall. You might at first think that each time you get into the shower your chance of a fall and serious injury is 1 in 1,000 and therefore there is very little to worry about. That is probably because you remember that someone once taught you the famous coin-flip rule of elementary statistics: because each toss is an independent event, you have a 50% chance of heads each time you flip. But in this case you would be wrong. The actual chance of falling in the shower is additive. This is known in statistics as the “law of large numbers.” If you do something enough times, even a rare event will occur. Hence, if you take 1,000 showers you are almost assured of a serious injury—about once every 3 years for a person who takes a shower every day. Of course, serious falls are less common than that because of a variety of intervening factors. Nevertheless, according to the CDC, mishaps near the bathtub, shower, toilet, and sink caused an estimated 234,094 nonfatal injuries in the United States in 2008 among people at least 15 years old. In 2009, there were 10.8 million traffic accidents and 35,900 deaths due to road fatalities in the United States. The CDC estimates a 1-in-100 lifetime chance of dying in a traffic accident and a 1-in-5 lifetime chance of dying from heart disease. But none of these realities affect our behaviors very much. We don’t take very many (if any) precautions when we shower. We text, eat, talk on the phone, and zone out while driving, paying little attention to the very real risk we pose to ourselves (and others) each time we get in the car. And we keep eating at McDonald’s and smoking cigarettes, completely disregarding the fact that these behaviors could eventually affect our health in extreme and fatal ways. On the other hand, there is zero proven risk of death as a result of the diphtheria- tetanus- pertussis (DTP) vaccine.
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Lupton, Ken, Mike Wing, and Chris Wright. "Conceptual Data Structures And The Statistical Modelling of Road Accidents." In Mathematics in Transport Planning and Control, 267–77. Elsevier, 1998. http://dx.doi.org/10.1016/b978-008043430-8/50026-5.

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Lupton, Ken. "Conceptual Data Structures and the Statistical Modelling of Road Accidents." In Mathematics in Transport Planning and Control, 267–77. Emerald Group Publishing Limited, 1998. http://dx.doi.org/10.1108/9780585474182-026.

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Conference papers on the topic "Road accident statistics"

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Abusini, Sobri. "The effect of road characteristics on motorcycle accident in Batu east Java Indonesia." In INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS 2013 (ICMSS2013): Proceedings of the International Conference on Mathematical Sciences and Statistics 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4823912.

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Esmaeili, Alireza, Mohadeseh Khalili, and Alireza Pakgohar. "Determining the road defects impact on accident severity; based on vehicle situation after accident, an approach of logistic regression." In 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE2012). IEEE, 2012. http://dx.doi.org/10.1109/icssbe.2012.6396551.

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Berrones Sanz, Luis David, and Victoria Alejandra Muro Báez. "Accidentes viales de los motociclistas en México: subgrupos y factores de riesgo." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.2172.

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Motorcycling as a means of transportation has grown rapidly in Mexico. In the last decade, the number of motorcycles increased 338.05%, which means that motorbikes represent 5.97% of the total number of vehicles in the country. During this period, however, the annual average shows that 3.16% of motorcyclists had an accident, which is proof that motorcycle riders are vulnerable users with high risks in terms of road safety. The objective of this research is to identify the subgroups of motorcyclers with higher accident risks and to identify risk factors. The sample for the quantitative study included all motorbike riders who died or were injured as a result of a reported road accident, between 2000 and 2014. The sample was obtained using the database at the National Institute for Statistics and Geography and the General Direction of Health Information. Descriptive variables were determined for all the categories and were matched to the death cause to find statistical correlation. These systems of information registrered, during 2014 in Mexico, more than 41,881 accidents and 826 deaths caused by motorcycle accident. The highest number of accidents involved men (P<0.001) between 20 and 30 years old, where 20.55% had head injuries and only 16.59% of bikers were wearing a helmet at the time of the accident. This combination – age 20-30, male gender and not wearing a helmet – seems to be a powerful risk factor. However, accidents are largely underreported due to the fact that the format used to receive attention after suffering a violent attack or injury (SIS-SS-127-P) does not include the motorcycle as an agent of injury. For this reason, it is of the utmost importance to create a reliable statistical system and promote a good road safety culture together with protective factors and safety equipment.DOI: http://dx.doi.org/10.4995/CIT2016.2016.2172
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Bauer, Robert, Monica Steiner, Alexandra Khnelt-Leddihn, Wim Rogmans, and Rupert Kisser. "SM 04-1272 Under-reporting of vulnerable road users in official eu road accident statistics – implications for road safety and added value of eu idb hospital data." In Safety 2018 abstracts. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/injuryprevention-2018-safety.735.

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ROJO, MARTA, HERNÁN GONZALO-ORDEN, ALAITZ LINARES, and LUIGI DELL'OLIO. "Effects of Economic Recession on Road Safety Indexes." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.3427.

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During the last years, the investment in both construction and conservation of transportinfrastructures has been considerably reduced in several countries, as Spain. After anumber of years in which economic circumstances have forced Governments to reducebudgets earmarked for the maintenance and creation of new ways, it is interesting toanalyze whether this has taken a toll on accident rates.The paper evaluates if there are significant changes in the road safety through these yearsin Spain, comparing the annual statistics concerning investment in infrastructure andaccidents. Thus, the classical risk, mortality and severity indexes have been analyzed tounderstand their real trends. Finally, through linear regression techniques, it is shown howthese trends are related to the budgets invested each year, in order to draw interestingconclusions about the effect of their reduction.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3427
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Satria, Romi. "GIS TOOLS FOR ANALYZING ACCIDENTS AND ROAD DESIGN: A REVIEW." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4052.

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A significant unexpected outcome of transportation systems is road accidents with injuries and loss of lives. In recent years, the number of studies about the tools for analyzing accidents and road design has increased considerably. Among these tools, Geographical Information Systems (GIS) stand out for their ability to perform complex spatial analyses. However, sometimes the GIS, has been used only as a geographical database to store and represent data about accidents and road characteristics. It has also been used to represent the results of statistical studies of accidents but, these statistical studies have not been carried out with GIS. Owing to its integrated statistical-analysis capabilities GIS provides several advantages. First, it allows a more careful and accurate data selection, screening and reduction. Also, it allows a spatial analysis of the results in pre and post-processing. Second, GIS allows the development of spatial statistics that rely on geographically-referenced data. In this paper, several GIS tools used to model accidents have been examined. The understanding of these tools will help the analyst to make a better decision about which tool could be applied in each particular condition and context.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4052
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Junus, Noor Wahida Md, and Mohd Tahir Ismail. "Modelling road accidents: An approach using structural time series." In STATISTICS AND OPERATIONAL RESEARCH INTERNATIONAL CONFERENCE (SORIC 2013). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4894349.

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Procházka, Jiří, Samuel Flimmel, Matej Čamaj, and Milan Bašta. "Modelling the Number of Road Accidents." In Applications of Mathematics and Statistics in Economics. International Scientific Conference: Szklarska Poręba, 30 August- 3 September 2017. Publishing House of Wroclaw University of Economics, 2017. http://dx.doi.org/10.15611/amse.2017.20.29.

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Li, Fangyuan, Dawei Hu, and Jing Cao. "Statistical Modeling of Grievous Road Traffic Accidents." In The Twelfth COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412442.228.

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AL-Hasani, Ghanim, Abdel-Hamid Soliman, and Md Asaduzzaman. "Comparison of spatial regression models with Road Traffic Accidents Data r." In International Conference on Statistics: Theory and Applications (ICSTA'19). Avestia Publishing, 2019. http://dx.doi.org/10.11159/icsta19.31.

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