The development of safe riding guidelines for young riders – A case study of Phu Yen,Vietnam

Phu Yen is a small province located in the central part of Vietnam and is suffering from a tremendous number of traffic casualties, compared with other cities in Vietnam and developed countries. Young riders take a large proportion, accounting for 47.6% in total traffic crashes. To resolve this issue, the present study aims to (i) analyze young riders' behavior and their attitudes towards traffic safety and to (ii) propose a procedure to develop a book of safe riding guidelines to reduce their involvement in dangerous situations. A set of 73 questions in the questionnaire survey have been conducted to determine the risk-taking behavior and attitude towards traffic safety of 300 individuals, who are using bicycles, e-bikes, mopeds, scooters, and motorcycles less than 150 cc. The statistical results indicate that there are significant differences among riding behavior and attitudes of respondents towards traffic safety regarding the regional factor (rural, suburb, and urban), the demographic factor (gender and age), and the travel distance factor. The guidelines designed based on the questionnaire survey are used to alter adolescents' riding behavior and attitudes and so help them recognize, avoid, and handle risks in demanding traffic situations. An analysis of the before and after the traffic safety training workshop to evaluate the effectiveness of the proposed guidelines indicated that there was a significant increment in the perceived risks of young riders after training them by using this book.     

What affects pedestrian crossing difficulty at urban intersections in a developing country?

In developing countries, road traffic crashes involving pedestrians have become a foremost concern. At present, road safety assessment plans and selection of interventions are primarily restricted to traditional approaches that depend on the investigations of historical crash data. However, in developing countries such as India, the availability, consistency, and accuracy of crash data are major concerns. In contrast, proactive approaches such as studying road users' risk perception have emerged as a substitute method of examining potential risk factors. An individual's risk perception offers vital information on probable crash risk, which may be beneficial in detecting high-risk locations and major causes of crashes. Since the pedestrian fatality risk is not uniform across the urban road network level, it may be expected that pedestrians' perceived risk measured in terms of “crossing difficulty” would also vary across the sites. In this perspective, the present paper establishes a mathematical association between the pedestrians' perceived “crossing difficulty” and actual crashes. The model outcome confirms that pedestrians' perceived crossing difficulty is a good surrogate of fatal pedestrian crashes at the intersection level in Kolkata City, India. Subsequently, to examine the impact of traffic exposures, road infrastructure, land use, spatial factors, and pedestrian-level attributes on pedestrians' “crossing difficulty”; a set of Ordered Logit models are developed. The model outcomes show that high vehicle and pedestrian volume, vehicular speed, absence of designated bus stop, the presence of inaccessible pedestrian crosswalk, on-street parking, lack of signalized control (for both vehicle and pedestrian), inadequate sight distance, land use pattern, slum population, pedestrian-vehicular post encroachment time, waiting time before crossing, road width, and absence of police enforcement at an intersection significantly and positively increase pedestrian's crossing difficulty at urban intersections. To end, the model findings are advantageously utilized to develop a set of countermeasures across 3E's of road safety.     

Car drivers' road safety performance: A benchmark across 32 countries

The road safety performance of a country and the success of policy measures can be measured and monitored in different ways. In addition to the traditional road safety indicators based on the number of fatalities or injured people in road traffic crashes, complementary road safety performance indicators can be used in relation to vehicles, infrastructure, or road users' behaviour. The last-mentioned can be based on data from roadside surveys or from questionnaire surveys. However, results of such surveys are seldom comparable across countries due to differences in aims, scope, or methodology.This paper is based on the second edition of the E-Survey of Road Users' Attitudes (ESRA), an online survey carried out in 2018, and includes data from more than 35,000 road users across 32 countries. The objective is to present the main results of the ESRA survey regarding the four most important risky driving behaviours in traffic: driving under the influence (alcohol/drugs), speeding, mobile phone use while driving, and fatigued driving. The paper explores several aspects related to these behaviours as car driver, such as the self-declared behaviours, acceptability and risk perception, support for policy measures, and opinions on traffic rules and penalties.Results show that despite the high perception of risk and low acceptability of all the risky driving behaviours analysed, there is still a high percentage of car drivers who engage in risky behaviours in traffic in all the regions analysed. Speeding and the use of a mobile phone while driving were the most frequent self-declared behaviours. On the other hand, driving under the influence of alcohol or drugs was the least declared behaviour. Most respondents support policy measures to restrict risky behaviour in traffic and believe that traffic rules are not being checked regularly enough, and should be stricter.The ESRA survey proved to be a valuable source of information to understand the causes underlying road traffic crashes. It offers a unique database and provides policy makers and researchers with valuable insights into public perception of road safety.     

基于心理安全距离的行人风险评价及预警算法研究

为实现在机非混行的交通环境下,对动态、随机弱势道路使用者的准确风险评估,基于行车安全场理论提出了考虑行人心理安全距离的碰撞行人风险评价模型.首先通过考虑行驶车辆是否会危及行人的心理安全,提出了心理安全距离的概念,包括心理安全通行距离和心理安全制动距离2个方面,并通过问卷调研挖掘其可能的影响因素进行数值分析;接着将心理安...     

Study on influence of walking experience on traffic safety attitudes and values among foreign residents in Japan

The most vulnerable user in road space is still an ordinary pedestrian even though the top fatalities by traffic mode differ in countries. Thus, prioritizing/protecting vulnerable road users is essential to improve road safety. People's safety perceptions toward vulnerable users are strongly associated with surrounding elements and their own experiences, especially as pedestrians. Therefore the attitude and values toward vulnerable users would vary due to culture and customs related to walking in each country. This study examines how a walking experience change reflects people with diverse backgrounds' traffic safety attitudes by conducting an online questionnaire survey for foreigners living in Japan for five years or less. As a result, 75% of respondents walk more frequently due to increased public transportation usage. For all the respondents, the increase in the walking frequency also drives the shift in the attitude toward vulnerable users and the values regarding travel safety and comfort indirectly intermediated by the shift in attitudes toward walkability, applying structural equation modeling. To focus on the structure of the shift according to nationality, people from Southeast/South Asia, where motorcyclists are the top fatalities in the road space and somehow regarded as vulnerable road users, the increased walking experience contributes significantly to the improvement of awareness of vulnerable road users and to the formation of safety and comfort values. Regarding people from Europe/North America, although their walking frequency increases after coming to Japan, there is a static causal relationship that does not influence their attitude toward walkability or safety and comfort values. Additionally, they already have an attitude of protecting/prioritizing pedestrians and placing more importance on safety and comfort. At the same time, people from Southeast/South lacks the attitude toward pedestrians due to much less frequency of walking in daily life. It suggests that establishing safe and having comfortable pedestrian spaces and public transport in developing countries where traffic infrastructure is at the development stage will encourage people to walk and likely help foster an attitude of placing importance on safety.     

考虑空间相关性的行人宏观安全研究

为了探究行人事故的发生机理,分析影响行人交通安全的显著因素,收集上海市中心城区263个交通分析小区（TAZ）的行人事故、道路、人口及土地利用数据,并开展行人宏观安全研究。考虑到TAZ之间存在的空间相关性,建立考虑空间相关性的贝叶斯负二项条件自回归模型,在条件自回归模型中对比分析了5种不同的空间权重矩阵,包括0~1邻接矩阵、边界长度矩阵、分析单元中心距离倒数矩阵、事故空间中心距离倒数矩阵这4种既有矩阵,以及首次引入的宏观安全建模中的分析单元中心距离多阶矩阵。结果表明：分析单元中心距离多阶矩阵的模型拟合效果和事故预测准确度均显著优于既有的4种空间权重矩阵,证明了在宏观安全建模过程中考虑研究对象交通特征（居民步行平均出行距离等）的必要性;人口数量、主干道长度、次干道长度、路网密度等因素均与行人事故呈现显著正相关,平均交叉口间距、三路交叉口比例等因素与行人事故呈显著负相关;相较于高等、低等土地利用强度,中等土地利用强度对行人事故的影响最大。     

Characteristics of collision damage mitigation braking system for pedestrian protection

The vehicle travel velocity at pedestrian contact is considered to be an important parameter that affects the crash outcome. To reduce vehicle/pedestrian impact velocity, a collision damage mitigation braking system (CDMBS) using a sensor for pedestrian protection could be an effective countermeasure. The first purpose of this study is to clarify the relation between vehicle travel velocity and pedestrian injury severity due to differences in pedestrians’ ages in actual traffic accidents. The accident analyses were performed using vehicle-pedestrian accident data in 2009 from the database of the Institute for Traffic Accident Research and Data Analysis (ITARDA) in Japan. The result revealed that the fatality risk became higher with the increase in vehicle travel velocity. The second purpose of this study is to determine the safety performance of production vehicles equipped with the CDMBS for pedestrian protection. It was found that the CDMBS was highly effective in reducing the impact velocity from 50 km/h (vehicle travel velocity) to below 17 km/h, that could result in a significant decrease in fatality risk to be 2% or less. Additionally, the authors investigated a detectable zone with respect to a pedestrian’s position in relation to the vehicle. It was shown that the detectable zones for production vehicles tested were limited to be inside the vehicle front width.     

行人交通违规行为的心理学研究

基于计划行为理论,从社会心理学的视角研究了行人违规交通行为的动因。通过调查问卷,探讨了态度、主观规范、认知行为控制对行人违规交通行为的影响,构建了最佳行人违规行为模式。研究表明,受访者认为违规行为是方便的、低危险的,40.2%的人有从事违规行为的意愿,说明我国目前民众对违规行为存在侥幸心理;在主观规范上,大部分的受访者认识到违规行为是不应该的,但同时有5成的受访者表示实际有需要行使违规交通行为,说明我国目前的行人交通设施存在着不完善与不合理的地方;在认知行为控制上,调查表明,虽然外界促使行人违规的诱惑较多,加强管理还是可以避免违规行为的。最后,提出了行人交通安全的改善措施,即提高行人的交通法制观念和交通安全常识,加强对行人交通安全的管理,以及从系统和网络的角度完善行人安全设施的设置和管理等。     

Vulnerable road users: Cross-cultural perspectives on performance and attitudes

Pedestrians, cyclists and powered two-wheeler riders are considered vulnerable road users, as they are prone to a high risk of injury in the event of vehicular collision. This paper sought to elucidate the road safety performance and attitudes of vulnerable road users in 32 countries. In addition, comparisons between countries and demographic characteristics have been conducted, and recommendations that could enhance vulnerable road users' safety have been provided. For the study, data from the second edition of the ESRA survey (E-Survey on Road Users' Attitudes – ESRA2) conducted in 2018 were utilized. The results indicate that crossing the road at places other than nearby pedestrian crossings, reading a text message or checking social media while walking on the streets, cycling and riding without wearing a helmet, and speeding on powered two-wheelers outside built-up areas but not on motorways/freeways were the most frequently reported self-declared behaviours in the 32 countries. Finally, some solutions on preventing road crashes and increasing vulnerable road users' safety such as infrastructure interventions, use of protective equipment, and training and educational campaigns are discussed.     

Modeling effects of driver safety attitudes on traffic violations in China using the theory of planned behavior

Traffic violations are recognized as one of the main causes of traffic accidents and have been found to be closely associated with driver attitudes toward traffic safety. In this study, a modified theory of planned behavior (TPB) was used to model the effects of driver safety attitudes on traffic violations, based on a questionnaire survey of 1505 drivers in China. In light of the strong correlations between the observed items, the items of the TPB components were grouped into several parcels, using an item-parceling method. Parcel-based structural equation modeling was then used to operationalize the modified TPB. The results indicate that the proposed model can accurately predict the occurrence of traffic violations based on the observed items related to driver traffic safety attitudes. It was found that driver attitudes, subjective norm, and perceived behavior control significantly affect traffic violations. For predicting traffic violations, driver attitudes toward traffic safety policies had the greatest influence, followed by driver attitudes toward risky driving behaviors and the attitudes of others toward risky driving behaviors. Finally, suggestions on traffic enforcement and education to reduce traffic violations are proposed based on the results.     

Education influence in traffic safety: A case study in Vietnam

It is well known that traffic accidents are of high importance to the public health spectrum around the world. Moreover, in developing countries such as Vietnam, the mortality rate from road traffic accidents is rather high in comparison with other Southeast Asian countries. Not only do the majority of the people killed and seriously injured significantly affect the quality of life of the citizens, but traffic accidents also negatively impact a nation's economic and social development. Statistics show that far more people are injured or die in traffic accidents than are afflicted by any of the most serious diseases. The very high occurrence of traffic accidents in Vietnam has become one of the country's major social issues. The importance of human factors in transport policy discussion is growing. There is a realization that policy options that appear beneficial in principle have to be checked for their feasibility of implementation. Understanding and describing driver behavior become a challenge when one tries to identify driver errors in determining accident/conflict causal factors and countermeasures.In recent years, having understood the serious effects of traffic accidents on society at large, scientific researchers, traffic engineers and policy makers in Vietnam have developed many projects and conducted research in the field of traffic safety. The human factor is also considered to be the central element in the whole system. The final goal is to organize a traffic environment that is convenient and safe for road users.This article explains the application of the risk analysis approach in evaluating influences of education and enforcement in traffic safety.     

Education influence in traffic safety: A case study in Vietnam

It is well known that traffic accidents are of high importance to the public health spectrum around the world. Moreover, in developing countries such as Vietnam, the mortality rate from road traffic accidents is rather high in comparison with other Southeast Asian countries. Not only do the majority of the people killed and seriously injured significantly affect the quality of life of the citizens, but traffic accidents also negatively impact a nation's economic and social development. Statistics show that far more people are injured or die in traffic accidents than are afflicted by any of the most serious diseases. The very high occurrence of traffic accidents in Vietnam has become one of the country's major social issues. The importance of human factors in transport policy discussion is growing. There is a realization that policy options that appear beneficial in principle have to be checked for their feasibility of implementation. Understanding and describing driver behavior become a challenge when one tries to identify driver errors in determining accident/conflict causal factors and countermeasures.In recent years, having understood the serious effects of traffic accidents on society at large, scientific researchers, traffic engineers and policy makers in Vietnam have developed many projects and conducted research in the field of traffic safety. The human factor is also considered to be the central element in the whole system. The final goal is to organize a traffic environment that is convenient and safe for road users.This article explains the application of the risk analysis approach in evaluating influences of education and enforcement in traffic safety.     

基于交通冲突技术的行人安全分析与改善

从研究行人安全的角度出发,简要介绍了行人交通冲突技术及冲突成因,通过实例调查分析,探讨了交叉口信号配时对行人安全的影响以及闯红灯人数与行人冲突的关系,建立了行人绿信比与闯红灯比例、行人绿灯时转弯车与行人冲突数的关系模型,分析了行人冲突特性,用一种潜在事故指标表征行人安全.最后,针对存在的问题提出了相应的行人安全改善措施,并对3种冲突改善措施的效果进行了对比,得出相关结论.     

无信号控制人行横道处行人过街特性探析

行人是交通环境中的"弱势群体",尤其是在无信号控制人行横道处,研究行人交通特性是提出改善行人安全措施的前提。本文初步对无信号控制人行横道处人车干扰运行和行人过街运动特性进行定性分析,并选取长春市南湖大路上具有代表性的无信号控制人行横道进行实地观察和试验,定量分析行人到达人行横道规律和行人过街速度特性,其中重点分析年龄、性别和人群中行人数量对行人过街速度的影响。按照年龄将行人分为中、青年人,老人,儿童;按照性别将行人分为男性行人和女性行人;人群中行人数量主要选取1,2,3及4人以上进行研究。这些数据和分析结论对下一步针对实地情况提出改善行人交通安全的方案提供了基本的理论依据。     

城市道路无信号控制路段行人过街风险分级预警模型

为量化城市无信号控制路段下的行人过街风险,避免人车冲突事故频发,提出基于K-means算法的行人过街风险量化分级方法,并在此基础上建立了基于随机森林的行人过街风险分级预警模型。考虑时空接近程度及潜在碰撞伤害大小,选取冲突时间差、潜在碰撞距离与潜在碰撞能量3个指标,准确刻画出实际的人车交互场景,并利用K-means算法对行人过街风险状态进聚类划分,明确相应的行人过街风险等级。综合行人过街场景中包含的天气状况、道路交通设施、行人交通特征、机动车交通特征与历史事故等5类风险隐患因素,提出了30项行人过街风险二级指标,依据基尼不纯度对风险指标进行筛选并构建出最优的预警指标集,以此为模型输入,利用随机森林算法建立了能对行人过街风险进行细化、量化预测的分级预警模型。以山西省某市3处行人过街样本数据为算例验证模型的可行性。算例分析表明：行人过街风险等级分为5级时,量化分级结果能与实际行人过街情景较好吻合;本文提出的分级预警模型对各风险等级预测的整体正确率可达86.67%,其中对一级与四级风险的预警能力最为突出,一级风险识别准确率达到100%,四级风险识别准确率达到94.7%。本研究提出的行人过街风险...     

基于安全和效率的平面交叉口行人二次过街设施设计理论和方法

平面交叉口行人二次过街设施设计是交叉口渠化的关键。针对平面交叉口行人安全问题,对二次过街安全性和通行效率进行了详细分析,提出基于安全高效性和信号相位嵌套的行人二次过街设计理论和方法,并结合西安市小寨东路与翠华路交叉口实际调查数据,利用VISSIM仿真软件构建交叉口仿真模型,对比分析行人二次过街改善措施实施前后相关交通运行评价参数。仿真结果表明,合理地将行人过街信号嵌套在机动车相位中,行人二次过街比一次过街安全、高效,可在一定条件下提高平面交叉口的服务水平。     

Evaluation of a brake assistance system (BAS) using an injury severity prediction model for pedestrians

Through the years, traffic engineers and researchers have developed a variety of countermeasures to enhance pedestrian safety. Pedestrian-vehicle collisions are regarded as the most serious type of accident since they incur high fatality rates. A fundamental concept in developing effective countermeasures is to analyze pedestrian-vehicle collisions scientifically, which can identify the causes of accidents and accident severity. The objective of this study was to investigate the pedestrian safety benefit of the brake assistance system (BAS) and a functional requirement associated with BAS, namely the time needed to safely detect a pedestrian ahead. An injury severity prediction model for pedestrians was developed to systematically evaluate the BAS in this study. Ordered multinomial logistic regression analysis was used to establish a statistical model capable of predicting pedestrian injury severity. In addition to vehicle characteristics, collision speed and pedestrian characteristics were used as independent predictor variables. The outcomes of this study would be useful in directing the development of safety policies and technologies associated with pedestrian safety.     

基于累积前景理论的无信控路段人车通行冲突博弈分析

无信控路段具有强交互性和高事故率,由于缺乏交通信号将人车进行分离,导致其容易形成人车通行冲突,影响道路通行效率和交通安全.为此,以各道路使用者的损失最小为目标,构建了基于累积前景理论的人车通行冲突博弈模型.通过研究过街行人与机动车辆的交互作用,分析双方决策行为影响因素并构建得失矩阵;同时在考虑决策者主观心理感知的前提下...     

行人穿越车流的特征性研究

在实地调查测量的基础上,通过统计分析行人穿越车流时的平均步行速度,行人所需要的穿越时间,综合运用交通工程学和心理学理论,分析了影响行人穿越车流的各个因素的特征,得出行人穿行车流过街的流程图,并对防治行人穿越车流过街的违章行为的发生提出了一些建议。