Situational characteristics of fatal pedestrian accidents involving vehicles traveling at low speeds in Japan

Abstract

Objective: This study aimed to investigate the situational characteristics of fatal pedestrian accidents involving vehicles traveling at low speeds in Japan. We focused on vehicles with 4 or more wheels. Such characteristics included daytime or nighttime conditions, road type, vehicle behaviors preceding the accident, and vehicle impact locations.

Methods: Pedestrian fatality data on vehicle–pedestrian accidents were obtained from the Institute for Traffic Accident Research and Data Analysis of Japan (ITARDA) from 2005 to 2014. Nine vehicle classifications were considered: Trucks with gross vehicle weight (GVW) ≥7.5 tons and <7.5 tons, buses, box vans, minivans, sport utility vehicles (SUVs), sedans, light passenger cars (LPCs), and light cargo vans (LCVs). We compared the situational daytime or nighttime conditions, road type, vehicle behaviors preceding the accident, and vehicle impact locations for accident-involved vehicles traveling at low and higher speeds across all vehicle types.

Results: The results indicate that pedestrian fatalities involving vehicles traveling at low speeds occurred more often under daytime conditions across all vehicle types. At signalized intersections, the relative proportions of pedestrian fatalities were significantly higher when vehicles were traveling at low speed, except when the accidents involved box vans or SUVs. Similarly, when vehicles turned right, the relative proportions of pedestrian fatalities were significantly higher when vehicles traveling at low speed were involved across all vehicle types. In terms of the frontal right vehicle impact location, the relative proportions of pedestrian fatalities were significantly higher when trucks with GVW ≥7.5 tons or <7.5 tons, sedans, or LCVs traveling at low speed were involved.

Conclusions: The situational characteristics of fatal pedestrian accidents involving vehicles traveling at low speeds identified in this study can guide targeted development of new traffic safety regulations or technologies specific to vehicle–pedestrian interactions at low vehicle travel speeds (i.e., driver alert devices or automated emergency braking systems). Ultimately, these developments can improve pedestrian safety by reducing the frequency or severity of vehicle–pedestrian accidents for vehicles turning right at intersections and/or reducing the number of resultant pedestrian fatalities.     

基于行为安全“2-4”模型的受限空间事故分析及预防

为了研究受限空间作业过程的事故特性和致因机理,指导人员有效辨识受限空间作业风险,采取正确的应急救援措施。对2012年1月至2018年12月发生的典型受限空间作业过程事故进行了统计,并根据行为安全“2-4”模型对事故致因进行了分析,改变了传统事故原因的分类方法。将事故致因从一次性行为、习惯性行为、运行行为和指导行为4个方面进行划分,将安全管理体系划分为事故的根本原因。结果表明,受限空间作业事故伤害主要来源于气体中毒或窒息,盲目施救是导致受限空间人员伤亡的主要原因。基于行为安全“2-4”模型,提出从个人行为控制和组织行为控制两个层面的受限空间作业事故防控措施,对有效预防受限空间作业和救援事故,降低事故危害程度有指导意义。     

Overcoming the blame game to learn from major accidents: A systemic analysis of an Anhydrous Ammonia leakage accident

This article aims to demonstrate the need for changing the methods with which accidents are analyzed, if we truly wish to use what we uncover from them to learn and enrich our knowledge base of organizational management. The goal is to relinquish the broadly adopted and rather simplistic paradigm that accepts the search for human error and unsafe acts performed by workers, and produces “guilt diagnostics”. Instead, we use a systemic accident analysis methodology, based on the sociotechnical principle of understanding the real operating conditions in which accidents take place. In order to demonstrate the benefits of the theoretical framework, we compare the analyses of an Anhydrous Ammonia gas leakage accident in a fish processing plant using the traditional accident analysis model based on unsafe acts and the proposed systemic approach. The results favor the latter since it tends to be more reliable and offering useful recommendations to safety management processes, thus helping to prevent accidents, especially in complex systems.     

地铁施工事故统计分析与研究*

为了解我国城市地铁施工事故规律特征,降低新建地铁线路施工事故发生频率,统计分析2011—2020年全国31个省市自治区（不包括港澳台）地铁施工事故,归纳事故发生时间、事故类型、施工工法的分布特征,基于灰色关联分析法（GRA）对地铁施工事故致因进行分析。研究结果表明:地铁施工事故季节性特征突出,3,8,11月份呈多发态势;科学技术进步和规章制度完善是保证我国轨道交通运营里程高速增长和施工事故率降低的有效手段;事故类型以坍塌为主,且事故造成影响最大;违章作业、设备设施缺陷、地质环境不良和安全监管未贯彻落实分别为“人、物、环、管”4个维度的关键致因因子。     

Electric Accidents in the Production,Transmission, and Distribution of Electric Energy: A Review of the Literature

Many work related electric accidents occurred in electric energy industries and they were very often fatal. The situation of electric accidents in electric companies worldwide is investigated by reviewing the scientific literature, to offer perspectives on the types and kinds of statistics available, the factors regarded as influencing their occurrence, their consequences, and also methodological shortcomings.

Worldwide, reliable comparable data exist and indicate a downward trend in fatal electric accidents. Difficulties were encountered in compiling international statistics because of differences in how accident data were defined and recorded, variations in mandatory practices, lack of suitable data and indices, accident insurance systems, and lack of correlation between technical, financial, and medical aspects.     

Driver Celeration Behavior and the Prediction of Traffic Accidents

A study was undertaken to investigate whether driver celeration (overall mean speed change) behavior can predict traffic accident involvement. Also, to test whether acceleration, deceleration or the combined celeration measure was the better predictor. Bus driver celeration behavior was measured repeatedly in real traffic, driving en route, and correlated with accidents for which the drivers were deemed at least partly responsible. Correlations around .20 were found in several samples between celeration behavior and culpable accidents for a 2-year period. The results show that although celeration behavior is only semi-stable over time, it predicts with some accuracy individual accident involvement over 2 years. The predictive power of acceleration and deceleration was slightly lower than the combined measure, in accordance with theory. The correlations found were strong enough to warrant the use of celeration behavior as a predictive variable for transportation companies in their safety work.     

The Relationship Between Workers’ Safety Culture and Accidents,Near Accidents and Health Problems

One of the dimensions treated as part of a company’s safety culture or climate is workers’ attitudes towards risk and safety. In the present study these personal aspects are defined as workers’ safety culture, which is understood as a way of acting focused on life and taking care of one’s health. A questionnaire on safety culture was filled out by 200 employees of a metallurgical enterprise. Factor analysis was used to determine empirical scales of the questionnaire, whereas variance analysis was used to test hypotheses. The results confirmed the hypotheses that people who experienced accidents, dangerous situations, and—to a lesser extent—health problems had a lower level of safety culture. Nevertheless not all of the scales determined during factor analysis turned out to be significant as far as all kinds of those undesirable situations are concerned. Proposals for future studies are formulated in the conclusion.     

Occupational deaths and injuries by the types of street cleaning process

This study aims to obtain an overall picture of occupational injuries by the types of street cleaning process. Three hundred and fifty-four injured persons were analyzed in terms of the company size and details of the injured persons and accidents. Results show that ‘roadway cleaning’ was the most common type of cleaning process for injuries, followed by ‘sidewalk cleaning,’ ‘going/returning to work by bike’ and ‘lifting/carrying.’ The findings also show that most accidents which occur when ‘going/returning to work by bike’ are in the form of traffic accidents, while in other processes they happen most often in the form of slips. Most of the accidents related to ‘lifting/carrying’ affected workers in their 50s or younger while other processes had a large portion of injured persons in their 50s or older. The findings of this study can be used as baseline data for preventative policies.     

Small scale thin-layer boilover experiments: Physical understanding and modeling of the water sub-layer boiling and the flame enlargement

Boilover is defined as a violent ejection of fuel due to the vaporization of a water sub-layer, resulting in an enormous fire enlargement and formation of fireball and ground fire. This paper focuses on the physical principles behind the thin-layer boilover phenomenon, and on the improvement of the thin-layer boilover modeling. Small scale field and laboratory experiments, with a mixture of diesel and oil, and reservoirs ranging from 0.08 to 0.3 m, have been performed. High-speed visualizations and image processing, in parallel to temperature and mass loss measurements allows to better understand the water boiling, and the consequent flame enlargement. The modeling of the boilover period is done through the calculation of the pre-boilover burnt mass ratio and the boilover intensity based on the mass loss and on the flame enlargement.