Risk taking from the participant's perspective: the case of driving and accident risk

Although perceived health risk plays a prominent role in theories of health behavior, its empirical role in risk taking is less clear. In Study 1 (N = 129), 2 measures of drivers' risk-taking behavior were found to be unrelated to self-estimates of accident concern but to be related to self-ratings of driving skill and the perceived thrill of driving. In Study 2 (N = 405), out of a wide range of potential influences, accident concern had the weakest relationship with risk taking. The authors concluded that although health risk is a key feature in many theories of health behavior and a central focus for researchers and policy makers, it may not be such a prominent factor for those actually taking the risk.

Motorcycle accident risk could be inflated by a time to arrival illusion

Purpose. Drivers adopt smaller safety margins when pulling out in front of motorcycles compared with cars. This could partly account for why the most common motorcycle/car accident involves a car violating a motorcyclist's right of way. One possible explanation is the size-arrival effect in which smaller objects are perceived to arrive later than larger objects. That is, drivers may estimate the time to arrival of motorcycles to be later than cars because motorcycles are smaller. Methods. We investigated arrival time judgments using a temporal occlusion paradigm. Drivers recruited from the student population (n = 28 and n = 33) saw video footage of oncoming vehicles and had to press a response button when they judged that vehicles would reach them. Results. In experiment 1, the time to arrival of motorcycles was estimated to be significantly later than larger vehicles (a car and a van) for different approach speeds and viewing times. In experiment 2, we investigated an alternative explanation to the size-arrival effect: that the smaller size of motorcycles places them below the threshold needed for observers to make an accurate time to arrival judgment using tau. We found that the motorcycle/car difference in arrival time estimates was maintained for very short occlusion durations when tau could be estimated for both motorcycles and cars. Conclusions. Results are consistent with the size-arrival effect and are inconsistent with the tau threshold explanation. Drivers estimate motorcycles will reach them later than cars across a range of conditions. This could have safety implications.

A behavioral comparison between motorcyclists and a matched group of non-motorcycling car drivers: factors influencing accident risk

Motorcyclists and a matched group of non-motorcycling car drivers were assessed on behavioral measures known to relate to accident involvement. Using a range of laboratory measures, we found that motorcyclists chose faster speeds than the car drivers, overtook more, and pulled into smaller gaps in traffic, though they did not travel any closer to the vehicle in front. The speed and following distance findings were replicated by two further studies involving unobtrusive roadside observation. We suggest that the increased risk-taking behavior of motorcyclists was only likely to account for a small proportion of the difference in accident risk between motorcyclists and car drivers. A second group of motorcyclists was asked to complete the simulator tests as if driving a car. They did not differ from the non-motorcycling car drivers on the risk-taking measures but were better at hazard perception. There were also no differences for sensation seeking, mild social deviance, and attitudes to riding/driving, indicating that the risk-taking tendencies of motorcyclists did not transfer beyond motorcycling, while their hazard perception skill did. (C) 2002 Elsevier Science Ltd. All rights reserved.

Semiparametric modeling of the spatial distribution of occupational accident risk in the casual labor market, Piracicaba, southeast Brazil

The objective of this study was to estimate the spatial distribution of work accident risk in the informal work market in the urban zone of an industrialized city in southeast Brazil and to examine concomitant effects of age, gender, and type of occupation after controlling for spatial risk variation. The basic methodology adopted was that of a population-based case-control study with particular interest focused on the spatial location of work. Cases were all casual workers in the city suffering work accidents during a one-year period; controls were selected from the source population of casual laborers by systematic random sampling of urban homes. The spatial distribution of work accidents was estimated via a semiparametric generalized additive model with a nonparametric bidimensional spline of the geographical coordinates of cases and controls as the nonlinear spatial component, and including age, gender, and occupation as linear predictive variables in the parametric component. We analyzed 1,918 cases and 2,245 controls between 1/11/2003 and 31/10/2004 in Piracicaba, Brazil. Areas of significantly high and low accident risk were identified in relation to mean risk in the study region (p < 0.01). Work accident risk for informal workers varied significantly in the study area. Significant age, gender, and occupational group effects on accident risk were identified after correcting for this spatial variation. A good understanding of high-risk groups and high-risk regions underpins the formulation of hypotheses concerning accident causality and the development of effective public accident prevention policies.

Accident risk forecasting; a bibliography.

Mode of access: Internet.

Sleepiness, sleep-disordered breathing, and accident risk factors in commercial vehicle drivers

Sleep-disordered breathing and excessive sleepiness may be more common in commercial vehicle drivers than in the general population. The relative importance of factors causing excessive sleepiness and accidents in this population remains unclear. We measured the prevalence of excessive sleepiness and sleep-disordered breathing and assessed accident risk factors in 2,342 respondents to a questionnaire distributed to a random sample of 3,268 Australian commercial vehicle drivers and another 161 drivers among 244 invited to undergo polysomnography. More than half (59.6%) of drivers had sleep-disordered breathing and 15.8% had obstructive sleep apnea syndrome. Twenty-four percent of drivers had excessive sleepiness. Increasing sleepiness was related to an increased accident risk. The sleepiest 5% of drivers on the Epworth Sleepiness Scale and Functional Outcomes of Sleep Questionnaire had an in-creased risk of an accident (odds ratio [OR] 1.91, p = 0.02 and OR 2.23, p < 0.01, respectively) and multiple accidents (OR 2.67, p < 0.01 and OR 2.39, p = 0.01), adjusted for established risk factors. There was an increased accident risk with narcotic analgesic use (OR 2.40, p < 0.01) and antihistamine use (OR 3.44, p = 0.04). Chronic excessive sleepiness and sleep-disordered breathing are common in Australian commercial vehicle drivers. Accident risk was related to increasing chronic sleepiness and antihistamine and narcotic analgesic use.

Motorcycle accident risk could be inflated by a time to arrival illusion

Purpose. Drivers adopt smaller safety margins when pulling out in front of motorcycles compared with cars. This could partly account for why the most common motorcycle/car accident involves a car violating a motorcyclist's right of way. One possible explanation is the size-arrival effect in which smaller objects are perceived to arrive later than larger objects. That is, drivers may estimate the time to arrival of motorcycles to be later than cars because motorcycles are smaller. Methods. We investigated arrival time judgments using a temporal occlusion paradigm. Drivers recruited from the student population (n = 28 and n = 33) saw video footage of oncoming vehicles and had to press a response button when they judged that vehicles would reach them. Results. In experiment 1, the time to arrival of motorcycles was estimated to be significantly later than larger vehicles (a car and a van) for different approach speeds and viewing times. In experiment 2, we investigated an alternative explanation to the size-arrival effect: that the smaller size of motorcycles places them below the threshold needed for observers to make an accurate time to arrival judgment using tau. We found that the motorcycle/car difference in arrival time estimates was maintained for very short occlusion durations when tau could be estimated for both motorcycles and cars. Conclusions. Results are consistent with the size-arrival effect and are inconsistent with the tau threshold explanation. Drivers estimate motorcycles will reach them later than cars across a range of conditions. This could have safety implications.

Risk taking from the participant's perspective: The case of driving and accident risk

Although perceived health risk plays a prominent role in theories of health behavior. its empirical role in risk taking is less clear. In Study 1 (N = 129), 2 measures of drivers' risk-taking behavior were found to be unrelated to self-estimates of accident concern but to be related to self-ratings of driving skill and the perceived thrill of driving. In Study 2 (N = 405), out of a wide range of potential influences, accident concern had the weakest relationship with risk taking. The authors concluded that although health risk is a key feature in many theories of health behavior and a central focus for researchers and policy makers, it may not be such a prominent factor for those actually taking the risk.

Semiparametric modeling of the spatial distribution of occupational accident risk in the casual labor market, Piracicaba, southeast Brazil

The objective of this study was to estimate the spatial distribution of work accident risk in the informal work market in the urban zone of an industrialized city in southeast Brazil and to examine concomitant effects of age, gender, and type of occupation after controlling for spatial risk variation. The basic methodology adopted was that of a population-based case-control study with particular interest focused on the spatial location of work. Cases were all casual workers in the city suffering work accidents during a one-year period; controls were selected from the source population of casual laborers by systematic random sampling of urban homes. The spatial distribution of work accidents was estimated via a semiparametric generalized additive model with a nonparametric bidimensional spline of the geographical coordinates of cases and controls as the nonlinear spatial component, and including age, gender, and occupation as linear predictive variables in the parametric component. We analyzed 1,918 cases and 2,245 controls between 1/11/2003 and 31/10/2004 in Piracicaba, Brazil. Areas of significantly high and low accident risk were identified in relation to mean risk in the study region (p < 0.01). Work accident risk for informal workers varied significantly in the study area. Significant age, gender, and occupational group effects on accident risk were identified after correcting for this spatial variation. A good understanding of high-risk groups and high-risk regions underpins the formulation of hypotheses concerning accident causality and the development of effective public accident prevention policies.

Temporal variability of damage potential on roads as a conceptual contribution towards a short-term avalanche risk simulation

The fatality risk caused by avalanches on road networks can be analysed using a long-term approach, resulting in a mean value of risk, and with emphasis on short-term fluctuations due to the temporal variability of both, the hazard potential and the damage potential. In this study, the approach for analysing the long-term fatality risk has been adapted by modelling the highly variable short-term risk. The emphasis was on the temporal variability of the damage potential and the related risk peaks. For defined hazard scenarios resulting from classified amounts of snow accumulation, the fatality risk was calculated by modelling the hazard potential and observing the traffic volume. The avalanche occurrence probability was calculated using a statistical relationship between new snow height and observed avalanche releases. The number of persons at risk was determined from the recorded traffic density. The method resulted in a value for the fatality risk within the observed time frame for the studied road segment. The long-term fatality risk due to snow avalanches as well as the short-term fatality risk was compared to the average fatality risk due to traffic accidents. The application of the method had shown that the long-term avalanche risk is lower than the fatality risk due to traffic accidents. The analyses of short-term avalanche-induced fatality risk provided risk peaks that were 50 times higher than the statistical accident risk. Apart from situations with high hazard level and high traffic density, risk peaks result from both, a high hazard level combined with a low traffic density and a high traffic density combined with a low hazard level. This provided evidence for the importance of the temporal variability of the damage potential for risk simulations on road networks. The assumed dependence of the risk calculation on the sum of precipitation within three days is a simplified model. Thus, further research is needed for an improved determination of the diurnal avalanche probability. Nevertheless, the presented approach may contribute as a conceptual step towards a risk-based decision-making in risk management.

MULTI-UNIT ACCIDENT CONTRIBUTIONS TO U.S. NUCLEAR REGULATORY COMMISSION QUANTITATIVE HEALTH OBJECTIVES: A SAFETY GOAL POLICY ANALYSIS USING MODELS FROM STATE-OF-THE-ART REACTOR CONSEQUENCE ANALYSES

The U.S. Nuclear Regulatory Commission implemented a safety goal policy in response to the 1979 Three Mile Island accident. This policy addresses the question “How safe is safe enough?” by specifying quantitative health objectives (QHOs) for comparison with results from nuclear power plant (NPP) probabilistic risk analyses (PRAs) to determine whether proposed regulatory actions are justified based on potential safety benefit. Lessons learned from recent operating experience—including the 2011 Fukushima accident—indicate that accidents involving multiple units at a shared site can occur with non-negligible frequency. Yet risk contributions from such scenarios are excluded by policy from safety goal evaluations—even for the nearly 60% of U.S. NPP sites that include multiple units. This research develops and applies methods for estimating risk metrics for comparison with safety goal QHOs using models from state-of-the-art consequence analyses to evaluate the effect of including multi-unit accident risk contributions in safety goal evaluations.

An evaluation of a suburban railway pedestrian crossing safety programme

This study evaluated a programme of educational and environmental (access prevention) interventions designed to reduce the incidence of illegal and unsafe crossing of the rail corridor at a suburban station in Auckland, New Zealand. Immediately after the programme of interventions, the proportion of those crossing the rail corridor by walking across the tracks directly rather than using the nearby overbridge had decreased substantially. Three months later, the decrease was even greater. However, the educational and environmental interventions were introduced simultaneously so that the effects of each could not be separated, nor could other unmeasured factors be ruled out. Anonymous surveys administered immediately before and 3 months after the interventions indicated that while awareness of the illegality of walking across the tracks had increased slightly, perception of risk had not changed. This suggests that the educational interventions may have had less effect than the access prevention measures. (C) 2001 Elsevier Science Ltd. All rights reserved.

Transport safety for older people: A study of their experiences, perceptions and management needs

With evidence of increasing accident risk due to age-related declines in health and cognition affecting driver performance, there is a need for research promoting safe mobility of older people. The present study aimed to identify transport options and licensing issues for a group of older people in an Australian community. Ninety-five participants aged 75 and over were interviewed about their driving status and accident record and tested for cognitive ability. After stratification on cognitive level and driver status (current, ex-driver or non-driver), 30 were selected for further in-depth interviews concerning demographics, licence status and impact of change, travel options available and used, and travel characteristics. Considerable reliance on the motor vehicle as the mode of transport and the decision to cease driving were major quality-of-life issues. There was little evidence of planning and support in making the decision to stop driving. Some differences in transport decisions on the basis of cognitive level were evident; however, people with severely compromised cognitive ability (and, therefore, unable to give informed consent) had been excluded. The study suggested the need for resources to assist older people/carers/health professionals to plan for the transition from driver to non-driver and to manage alternative transport options more effectively

Yhdessä tuumin kohti turvallisempaa liikkumista : Loimaan seudun liikenneturvallisuussuunnitelma

Loimaan seudun liikenneturvallisuussuunnitelma on laadittu seudun kuntien ja Varsinais-Suomen ELY-keskuksen yhteistyönä. Liikenneturvallisuussuunnitelman tavoitteena on edistää kokonaisvaltaisella tavalla nykyistä vastuullisempaa ja turvallisuushakuisempaa liikkumista seudulla. Suunnitelmassa esitetyillä toimenpiteillä pyritään merkittävästi vähentämään seudulla tapahtuvien liikennekuolemien ja liikenteessä loukkaantuneiden määrää. Tavoitteena on myös edistää nykyistä kestävämpää liikkumista, jolla terveys- ja ympäristövaikutusten ohella on myönteinen vaikutus myös liikenneturvallisuuskehitykseen. Loimaan seudulla tapahtuu vuosittain keskimäärin viisi kuolemaan ja 70 loukkaantumiseen johtanutta onnettomuutta. Asukaslukuun suhteutettuna Loimaan seudulla tapahtuu selvästi enemmän henkilövahinko-onnettomuuksia kuin maakunnassa tai koko maassa keskimäärin. Myös liikenneonnettomuuksien vakavuusaste on maakunnan ja koko maan keskitasoa korkeampi. Kulkutavoittain tarkasteltuna korostuvat erityisesti henkilöauto-onnettomuudet. Liikennekuolemista peräti kolme neljäsosaa on tapahtunut autoilijoille. Ikäryhmittäin tarkasteltuna suurin onnettomuusriski on 15–24-vuotiailla, jotka muodostavat seudun liikenteen uhreista 39 prosenttia (ikäryhmän osuus seudun väestöstä on 11 prosenttia). Liikenneonnettomuuksista aiheutuu seudun kunnille vuosittain lähes kahdeksan miljoonan euron kustannukset – yli 200 euroa asukasta kohden. Nykytilan kuvausten pohjalta ja valtakunnalliset linjaukset huomioiden seudun liikenneturvallisuustyölle on asetettu pitkän aikavälin visio, määrälliset liikenneonnettomuuksien vähentämistavoitteet sekä lähivuosien toimintaa suuntaavat kärkitehtävät. Tavoitteiden mukaan seudun liikennekuolemien määrän tulee vähentyä nykyisestä viidestä hengestä1-2 henkeen vuoteen 2020 mennessä. Loukkaantumisten määrän tulee vähentyä nykyisestä 95 henkilöstä vähintään 71 henkilöön vuoteen 2020 mennessä (-25 %). Suunnitelmassa asetettujen tavoitteiden saavuttamiseen pyritään monipuolisen ja toimien vaikuttavuuden perusteella kohdennetun toimenpidejoukon keinoin sekä kehittämällä eri toimijoiden välistä yhteistyötä ja työnjakoa toimenpiteiden edistämisessä. Suunnitelmassa on esitetty 14 kärkitehtäväkokonaisuutta, joihin toiminta tulee vaikuttavuuden perusteella ensisijaisesti kohdistaa. Suunnitelman vaikutustenarvioinnin perusteella voidaan todeta, että keinot asetettujen tavoitteiden saavuttamiseksi ovat olemassa, mutta tavoitteisiin pääseminen edellyttää erittäin suuria panostuksia kaikilla liikenneturvallisuustyön osa-alueilla, ja erityisesti liikennekäyttäytymiseen ja yhteistyöhön kohdistuvien toimenpiteiden osalta. Liikennekuolemien puolittamisen tavoite nykytasosta vuoteen 2020 on tehtyjen tarkastelujen perusteella mahdollista. Myös loukkaantumisten määrän vähentäminen on saavutettavissa esitetyin toimenpitein.

Evaluación de la siniestralidad en pequeñas y medianas empresas en los sectores económicos de la regional centro de una aseguradora de riesgos laborales, Colombia, 2014.

Introducción: Las estadísticas de siniestralidad laboral son el negativo de las condiciones de trabajo de la economía de un país. Las indeseables condiciones de trabajo que predominan en la actualidad probablemente sean consecuencia de las crecientes contrataciones temporales lo cual conduce a que se incrementen los accidentes de trabajo, debido a la pobre inversión en el área de riesgos laborales. Objetivo: Evaluación de la siniestralidad en pequeñas y medianas empresas de los sectores económicos de la regional centro en una aseguradora de riesgos laborales, Colombia, 2014. Materiales y métodos: Estudio tipo observacional descriptivo, retrospectivo, realizado a 14.994 eventos calificados como accidentes de trabajo en una aseguradora de riesgos laborales dela regional centro durante Enero a Diciembre del años 2014. Resultados: La mayor incidencia de accidentalidad fue en el sector económico de establecimientos financieros, seguros, actividades inmobiliarias y servicios a las empresas, con un 36.9%. Se encontró que el riesgo que genero mayor accidentalidad fue caída a nivel con un 17.2%. El grupo diagnostico que predomino fue el de heridas superficiales y heridas abiertas con un 77.4%. El tipo de atención que genero mayores atenciones fue la atención ambulatoria con 93.1%. Conclusión: El sector económico que se vio mayormente afectado en accidentalidad laboral fue el de establecimientos financieros, seguros, actividades inmobiliarias y servicios a las empresas. Al asociar dicho sector económico con el tipo de riesgo se determinó que el riesgo por lesión en accidente deportivo fue de un 61%, predisponiendo este al desarrollo de accidentalidad laboral. Por lo anterior se deben hacerr estrategias de intervención de prevención y promoción en las pequeñas y medianas empresas y como consecuencia disminuir las tasas de siniestralidad e impactar de manera positiva en la salud de los trabajadores, en las tasas de ausentismo laboral y el costo asistencial.