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The "Seven Steps Method" is an analysis and classification system, which describes the human participation factors and their causes in the temporal sequence (from the perceptibility to concrete action errors) taking into consideration the logical sequence of individual basic functions. By means of the "seven steps" it is possible to describe the relevant human causes of accidents from persons involved in the accident in an economic way with a sufficient degree of exactitude, because the causes can be further differentiated in their value (e.g. diversion as external diversion with regard to impact due to surroundings) and their sub values (e.g. external diversion with regard to impact due to surroundings in the shape of a "capture" of the perception by a prominent object of the traffic environment). Theoretically it is possible that one or more causing moments can be assigned to a person involved in an accident in each of the "seven steps"; however it is also possible to sufficiently clarify the cause in only one level (examples for this are described). In the practice of accident investigation at the site of the accident, the sequence chart is also relevant. With its assistance the questioning of the people involved in an accident can be accomplished in a structured way by assigning a set of questions to each step.
From literature well-known analyzes on risks, hazards and causes of accidents of older drivers are amended by the present study in which a comparison of the specific features of accident causes of older car drivers (older than 60 years) and of younger car drivers (under 25 years) is conducted. Mainly the question is pursued if specific errors, mistakes and lapses are predominant in the two different age groups. The analysis system ACAS (Accident Causation Analysis System) used hereby consists of a sequential system of accident causation factors from the human, the technical and the infrastructural field, whereupon for this study the influence of the human features on the accident development in two different age groups is of interest. ACAS is both an accident model and an analysis and classification system, which describes the human participation factors of an accident and their causes in the temporal sequence (from the perceptibility to concrete action errors) taking into consideration the logical sequence of individual basic functions. In five steps (categories) of a logical and temporal sequence the hierarchical system makes human functions and processes as determinants of accident causes identifiable. The methodology specifically focuses on the use in so-called "In-Depth" and "On-Scene" investigation studies. With the help of the system for each accident participant one or more of five hypotheses of human cause factors are formed and then specified by appropriate verification criteria. These hypotheses in turn are further specified by indicators in such manner that the coding of the causation factors by a code system meets the needs of database processing and are accessible to a quantitative data analysis. The first results of the descriptive comparison of the two age groups concern mainly differences in the functional levels "information admission/perception" (where the elderly drivers have more difficulties than the young ones) and "information processing/evaluation" (where the younger drivers show more problems). Concerning the cognitive function of "planning" the group of younger drivers seems to be more often involved in an accident because of excessive speed.
Introduction: The method of causation analysis applied under the German accident survey GIDAS, which is based on Accident Causation Analysis System (ACAS) focuses on an on-scene data collection of predominantly directly event-related causation factors which were crucial in the accident emergence as situational resulting events and influences. The paradigm underlying this method refers to the findings of the psychological traffic accident research that most causally relevant features of the system components human, infrastructure and vehicle technology are found directly in the situation shortly before the accident. This justifies the survey method which is conducted directly at the accident (on-scene), shortly after the accident occurrence (in-time) with the detection of human-related causes (in-depth). Human aspects of the situation analysis that interact and influence the risk situations shortly before the collision are reported as errors, lapses, mistakes and failures in ACAS in specific categories and subcategories. Thus methodically ACAS is designed primarily for the collection of accident features on the level of operational action, which certainly leads to valid findings and behavioral causes of accidents. The enhancement by means of Moderating Conditions concerns the pre-crash phase in different levels: strategical, tactical and operational.
For the avoidance of traffic accidents by means of advanced driver assistance systems the knowledge of failures and deficiencies a few seconds before the crash is of increasing importance. This information e.g. is collected in the German accident survey GIDAS by an interview derived from the ACAS methodology. However to display the whole range of accident causation factors additional information is needed on enduring factors of the system components "human", "infrastructure" and "machine". On the strategic level these accident moderating factors include long term influences such as medical preconditions or a general higher risk taking behavior as well as influences on the immediate conflict level such as an aggressive response to a perceived previous traffic conflict. This study was conducted to examine the feasibility of collecting such causation information in the scope of an in-depth accident investigation like GIDAS. Due to the comprehensive amount of information necessary to estimate the moderating factors the collection of the information is distributed to different methods. 5 cases of real world crashes have been investigated where information was collected on-scene and retrospective by interviews. The identified moderating factors of the accidents and the method for collecting the information are displayed.
This contribution introduces a number of psychological methods of analysis that are based on the practice-oriented collection of information directly at the site of an accident and that allow for an analysis and coding of the accident causes. Investigation examples and examples of the data combinations with basic medical and technical data are outlined. Objective of the collection is the inter-disciplinary investigation of human factors in the causes of accidents ("human-factor-analysis"). The psychological data are incorporated according to an integrative model for accident causes based on empiric algorithms in the data base of the accident research, where the clustered evaluation potential of comprehensive factors of the accident development can be illustrated. The central theoretical concept for the basic model of the progress of the accident from a psychological point of view comprises psychological indicators for the evaluation of the site of the accident for the analysis of the perception conditions as well as a classification of the gleaned data into the accident progress model according to chronological and local criteria. Perception conditions, action intentions and executions as well as conditions limiting perception and actions are acquired, using a questionnaire for persons involved in an accident, and are also integrated into the data structure concerning weighted feature characteristics as well as combined with other relevant features. Suitable systematization tools for the collection and coding of psychological accident development parameters have to be provided, which require primarily a model image of the corresponding processes from the persons involved in the accident (perceptions, expectations, decisions, actions). The interactive accident model contains components of the models by KÜTING 1990, MC DONALD 1972, SURREY 1969 and RASMUSSEN 1980. Based on the inter-action of the three partial systems "person", "vehicle" and "environment", the first step is the assessment of the situation by the persons involved in the accident. This is dependent on the personal attitudes and motives, on experiences and expectations concerning the progress of the situation. Subsequently, data concerning the manner of the coping with the ambiguous state as well as with the instable state (emergency reaction immediately before the accident occurs) are collected. The factors relating to the persons involved in the accident are gathered on several levels using corresponding questionnaires. The coding of the found and collected characteristics is conducted in a multidimensional evaluation relating to the technical results of the accident reconstruction and of the psychological classification, which are subsequently integrated in coded form into the data base of the accident research. The result of this analysis is a description of the development of the accident depicted on a chronological vector from a perception and decision theoretical perspective. This is explained in detail using exemplary cases.
Injuries in motorbike accidents in correlation with protective clothes and mechanism of the accident
(2013)
This study deals with a possible connection between safety clothing / accident mechanism and injury severity in a state-wide traffic accident investigation with focus on light and small motorbike-involvement for accidents in the area of the Saarland in which the persons riding the bike have been injured or killed. An interdisciplinary team of medical scientists and engineers collected the medical and technical data as well as all the relevant traces of the accident on scene and in time. During twenty months of data collection a total of 401 cases could be gathered. Grave injuries were more common for the group of heavier motorcycles (>125 ccm). Motorcyclists had been polytraumatized only in the group where the accident was connected with a collision. Significant correlation between protective clothes and injury severity could only be found for protective gloves and protective trousers. The knowledge about mechanism of the accident, protective clothes and severity of injuries can be helpful for the improvement of road and motorcyclists' safety.
Who doesn't wear seat belts?
(2009)
Using real world accident data, seat belts were estimated to be 61% effective at preventing fatalities, and 32% effective at preventing serious injuries. They were most effective for drivers with an airbag. Seat belts were estimated as having prevented 57,000 fatalities and 213,000 seriously injured casualties in the UK since 1983. Seat belt legislation was estimated to have prevented 31,000 fatalities and 118,000 seriously injured casualties. A future increase in effective seat belt wearing rate (which takes into account seating position) in the UK from 92.5% to 93% may prevent casualties valued at a societal cost of over -£18 million per year. To target a seat belt campaign, the question "who doesn"t wear seat belts?" must be answered. Seat belt wearing rates and the number of unbelted casualties were analysed. It was primarily young adult males who didn"t wear seat belts, and they made up the majority of unbelted fatalities and seriously injured casualties.
The NHTSA-sponsored Crash Injury Research and Engineering Network (CIREN) has collected and analyzed crash, vehicle damage, and detailed injury data from over 4000 case occupants who were patients admitted to Level-I trauma centers following involvement in motor vehicle crashes. Since 2005, CIREN has used a methodology known as "BioTab" to analyze and document the causes of injuries resulting from passenger vehicle crashes. BioTab was developed to provide a complete evidenced-based method to describe and document injury causation from in-depth crash investigations with confidence levels assigned to the causes of injury based on the available evidence. This paper describes how the BioTab method is being used in CIREN to leverage the data collected from in-depth crash investigations, and particularly the detailed injury data available in CIREN, to develop evidence-based assessments of injury causation. CIREN case examples are provided to demonstrate the ability of the BioTab method to improve real-world crash/injury data assessment.
Die Dokumentation befasst sich mit den Vorbereitungsarbeiten für die Initiierung der Verkehrssicherheitsaktion "Minus 10 Prozent". Österreichische Bundes- und Landesbehörden sollten durch eine private Institution, dem Kuratorium für Verkehrssicherheit, motiviert werden, der Durchführung dieser Aktion zuzustimmen bzw. diese zu unterstützen. Möglichst viele österreichische Bezirkskörperschaften sollten gewonnen werden, sich freiwillig an dieser Aktion zu beteiligen. Gegründet werden sollte ein Verkehrssicherheitskomitee, in das auch nichtbeamtete Personen aufgenommen werden sollten. Durch ein verstärktes Engagement über die amtlichen Aktivitäten hinaus sollten Unfälle mit Personenschäden binnen eine Jahres um 10 Prozent reduziert werden. Die Vorgangsweisen des Kuratoriums für Verkehrssicherheit zur Motivierung der Bundes-, Landes- und Bezirksbehörden werden ebenso dargestellt wie die ersten Resultate nach Ablauf von 4 Monaten der Aktion, an der alle Bezirkskörperschaften Österreichs teilnahmen.
Auf der Grundlage von 951 Unfallprotokollen aus den Jahren 1997 bis 2005, bei denen Bedienstete, Fahrzeuge oder Geräte der Straßenbauverwaltungen in Arbeitsstellen kürzerer Dauer (AkD) auf Autobahnen zu Schaden kamen, wurden relevante Unfallmuster herausgearbeitet. So konnte im Wesentlichen der Lkw als Hauptunfallverursacher mit einem Anteil von knapp 60 % am Gesamtunfallaufkommen identifiziert werden. Hauptsächlich sind AkD bei Sperrung des rechten Fahrstreifens oder des Standstreifens betroffen. Ein "Anprall von hinten" auf dem rechten Fahrstreifen und ein "seitliches Streifen" auf dem Standstreifen von zum Beispiel Absperrtafeln oder Fahrzeugen treten mit etwa gleichen Anteilen am häufigsten auf. Ferner zeigen die Auswertungen, dass 2/3 aller Unfälle bei stationären AkD aufgetreten sind. Besonders auffällig ist, dass fast 80 % der verunglückten Mitarbeiter in ihrem Fahrzeug zu beklagen sind, nur ca. 20 % der Verunglückten waren beim Unfall außerhalb der Fahrzeuge. Beim Ein- und Aussteigen sind nur 4 Unfälle dokumentiert, diese allerdings mit je zwei Getöteten und Verletzten. Hinsichtlich der relevanten Unfallmuster wurden Maßnahmen abgeleitet, die zum einen die Unfallvermeidung und zum anderen die Unfallfolgenminderung zum Ziel haben. Im Rahmen einer Abschätzung wurden diese Maßnahmen bewertet und das erwartete Reduzierungspotenzial, einerseits bezogen auf die Anzahl vermeidbarer Unfälle und andererseits auf die Vermeidung von Verletzten, abgeleitet. Die Maßnahmen zur Erhöhung der Sicherheit des Betriebsdienstpersonals in AkD wurden hinsichtlich ihrer Wirkungsweise (optisch, akustisch, haptisch) auf den Verkehrsteilnehmer bewertet. Aufgrund der haptischen Wirkungsweise auf die Verkehrsteilnehmer beim Überfahren von Warnschwellen könnte bei stationären AkD ein relativ großes Reduzierungspotenzial zu erreichen sein. Gleiches gilt auch beim Einsatz des Unfall-Vorwarn-Systems (UVS). Das größte Potenzial zur Vermeidung von Unfällen stellt die aktive Fahrzeugsicherheit bei den unfallverursachenden Verkehrsteilnehmern dar. Würden Lkw, die als Hauptunfallverursacher in Relation zu ihrer Fahrzeuganzahl deutlich überrepräsentiert sind, mit radarbasierten Fahrgeschwindigkeitsreglern und Spurassistenzsystemen ausgestattet, könnte mit relativ geringem Aufwand ein hohes Maß an Sicherheit erzielt werden. Nutznießer einer solchen Pflichtausstattung wären darüber hinaus natürlich auch alle anderen Verkehrsteilnehmer, die bei Auffahrunfällen etc. davon profitieren würden. Auf die Installation von aktiven Sicherheitssystemen in Fahrzeuge kann nur durch entsprechende Vorgaben des Gesetzgebers Einfluss genommen werden. Empfehlenswert erscheint außerdem der Einsatz von Unfalldatenschreibern (UDS) inklusive der Dokumentation des Fahrerverhaltens wie zum Beispiel Festhalten des Lenkrades, um den Unfallhergang im Nachhinein rekonstruieren zu können. Insgesamt bieten passive Schutzsysteme in den Betriebsdienstfahrzeugen wegen der hohen Anteile von Verunglückten in den Fahrzeugen das größte Potenzial zur Vermeidung von Verletzungen. So könnten bereits durch die generelle Empfehlung zum Anlegen des Sicherheitsgurtes, auch bei der Absicherung von Arbeitsstellen oder Kurzfahrten, rund 30 % der zu erwartenden verletzten Fahrzeuginsassen vermieden werden. Zur Unterstreichung dieser Maßnahme sollte in entsprechenden Sicherheitsunterweisungen auf die Unfallgefahr hingewiesen werden. Diese sollten nicht nur das jederzeit gegenwärtige Gefährdungsrisiko ins Bewusstsein rufen, sondern auch die Eigensicherung, wie zum Beispiel erhöhte Aufmerksamkeit beim Ein- und Aussteigen, das Anlegen der Sicherheitsgurte, die korrekte Sitzposition sowie die persönliche Kopfstützeneinstellung betreffen. Ein sehr großes Vermeidungspotenzial insbesondere von HWS-Verletzungen bieten zum Beispiel Nackenairbags, aber auch Kopfstützensysteme in Verbindung mit Gurtstraffern mit zu erwartenden Reduzierungen von über 80 % der Verunglückten in den Fahrzeugen.