Culture related to road traffic safety: a comparison of eight countries using two conceptualizations of culture

The road safety and risky behavior analysis of delivery vehicle drivers in China

The delivery industry has seen dramatic growth in demand and scale in China. Due to the stock limitations and delivery time restrictions, the couriers may commit traffic violations while delivering, resulting in a pessimistic road safety situation. This study aims to reveal critical factors that influence delivery vehicle crash risks. A cross-sectional structured questionnaire survey is conducted to collect demographic attributes, workload, work emotions, risky driving behavior, and road crash involvement data among 824 couriers in three developed regions of China. The collected data is then analyzed through an established path model to identify the contributing factors of delivery road crash risks and risky behaviors. The road crash risk level (RCRL) indicator is defined by taking into consideration both frequency and severity. While the risky behaviors are defined by both their frequency and correlations to crash risks. The results indicate that 1) Beijing-Tianjin Urban Agglomeration has the highest road crash frequency and RCRL; 2) distracted driving and wrong-lane-use are among the top three risky behaviors for both Yangtze River Delta Urban Agglomeration and Pearl River Delta Urban Agglomeration. For Beijing-Tianjin Urban Agglomeration, distracted driving, aggressive driving, and lack of protection are the top three risky behaviors; 3) time demand and personal efforts are important factors contributing to the cognitive workload of couriers; 4) objective workload can affect the cognitive workload and both workloads influence drivers' emotions (anxiety and anger); 5) the objective, cognitive workload, drivers' emotions influence the RCRL through their impacts on risky behavior but in different paths for three agglomerations. The findings highlight the importance of developing targeted countermeasures to reduce the delivery workers' workload, improve their performance on roads, and mitigate severe crash risks.

What Simon "knows" about cultural differences: The influence of cultural orientation and traffic directionality on spatial compatibility effects

Previous research has suggested that culture influences perception and attention. These studies have typically involved comparisons of Westerners with East Asians, motivated by assumed differences in the cultures' self-concept or position on the individualism-collectivism spectrum. However, other potentially important sources of cultural variance have been neglected, such as differences in traffic directionality shaped by the urban spatial environment (i.e., left-hand vs. right-hand traffic). Thus, existing research may potentially place too much emphasis on self-concepts or the individualism-collectivism dimension in explaining observed cultural differences in cognition. The present study investigated spatial cognition using a Simon task and tested participants from four nations (Australia, China, Germany, and Malaysia) that differ in both cultural orientation (collectivistic vs. individualistic) and traffic directionality (left-hand vs. right-hand traffic). The task used two possible reference frames underlying the Simon effect: a body-centered one based on global stimulus position relative to the screen's center versus an object-centered one based on local stimulus position relative to a context object. As expected, all groups showed a reliable Simon effect for both spatial reference frames. However, the global Simon effect was larger in participants from countries with left-hand traffic. In contrast, the local Simon effect was modulated by differences in cultural orientation, with larger effects in participants from collectivistic cultures. This pattern suggests that both sources of cultural variation, viz. cultural orientation and traffic directionality, contribute to differences in spatial cognition in distinct ways.

Taking a mixed-methods approach to collision investigation: AcciMap, STAMP-CAST and PCM

Recently, ergonomics and safety researchers have turned their attention towards applying combinations of sociotechnical methods rather than using single methods in isolation. In the current research, a mixed-method approach combining two systems-based methods, Accimaps and the Systems Theoretic Accident Model and Process - Causal Analysis using Systems Theory (STAMP-CAST), and one cognitive approach, the Perceptual Cycle Model (PCM), were employed in analysing a rail-level crossing incident in Bangladesh. Each method was applied individually to investigate the collision, and interventions were proposed corresponding to incident events at different risk management framework levels. The three methods provided different perspectives of the whole picture, together identifying an array of contributory factors. The complementary nature of these methods aided in proposing a comprehensive set of safety recommendations, thereby demonstrating the benefit of a mixed-method approach for collision investigation in low-income settings.

Classification of Driver Injury Severity for Accidents Involving Heavy Vehicles with Decision Tree and Random Forest

Accidents involving heavy vehicles are of significant concern as it poses a higher risk of fatality to both heavy vehicle drivers and other road users. This study is carried out based on the heavy vehicle crash data of 2014, extracted from the MIROS Road Accident and Analysis and Database System (M-ROADS). The main objective of this study is to identify significant variables associated with categories of injury severity as well as classify and predict heavy vehicle drivers’ injury severity in Malaysia using the classification and regression tree (CART) and random forest (RF) methods. Both CART and RF found that types of collision, driver errors, number of vehicles involved, driver’s age, lighting condition and types of heavy vehicle are significant factors in predicting the severity of heavy vehicle drivers’ injuries. Both models are comparable, but the RF classifier achieved slightly better accuracy. This study implies that the variables associated with categories of injury severity can be referred by road safety practitioners to plan for the best measures needed in reducing road fatalities, especially among heavy vehicle drivers.

Driving Ability and Safety in Rheumatoid Arthritis: A Systematic Review

OBJECTIVE

To identify whether rheumatoid arthritis (RA) is associated with driving ability and/or the use of assistive devices or modifications to improve driving ability.

METHODS

We conducted a systematic literature review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines of RA and driving ability/adaptations by searching multiple databases from inception to April 2018. Eligible studies were original articles in the English language that had quantitative data regarding the study objective and at least 5 RA patients. Similar outcomes were extracted across studies and grouped into categories for review.

RESULTS

Our search yielded 1,935 potential reports, of which 22 fulfilled eligibility criteria, totaling 6,285 RA patients. The prevalence of driving issues in RA was highly variable among the studies. Some of the shared themes addressed in these publications included RA in association with rates of motor vehicle crashes, self-reported driving difficulty, inability to drive, use of driving adaptations, use of assistance by other people for transport, and difficulty with general transportation.

CONCLUSION

Despite variability among individual reports, driving difficulties and the use of driving adaptations are relatively common in individuals with RA. Given the central importance of automobile driving for the quality of life of RA patients, further investigations of driving ability and potential driving adaptations that can help overcome barriers to safe driving are needed.

How do fatalistic beliefs affect the attitudes and pedestrian behaviours of road users in different countries? A cross-cultural study

This paper reports on an exploratory investigation of the influence of five different fatalistic belief constructs (divine control, luck, helplessness, internality, and general fatalism) on three classes of self-reported pedestrian behaviours (memory and attention errors, rule violations, and aggressive behaviours) and on respondents' general attitudes to road safety, and how relationships between constructs differ across countries. A survey of over 3400 respondents across Bangladesh, China, Kenya, Thailand, the UK, and Vietnam revealed a similar pattern for most of the relationships assessed, in most countries; those who reported higher fatalistic beliefs or more external attributions of causality also reported performing riskier pedestrian behaviours and holding more dangerous attitudes to road safety. The strengths of relationships between constructs did, however, differ by country, behaviour type, and aspect of fatalism. One particularly notable country difference was that in Bangladesh and, to a lesser extent, in Kenya, a stronger belief in divine influence over one's life was associated with safer attitudes and behaviours, whereas where significant relationships existed in the other countries the opposite was true. In some cases, the effect of fatalistic beliefs on self-reported behaviours was mediated through attitudes, in other cases the effect was direct. Results are discussed in terms of the need to consider the effect of locus of control and attributions of causality on attitudes and behaviours, and the need to understand the differences between countries therein.

Cross-cultural differences in pedestrian behaviors in relation to values: A comparison of five countries

This study compared pedestrian behaviors in five countries (Estonia, Greece, Kosovo, Russia, and Turkey) and investigated the relationships between these behaviors and values in each country. The study participants were 131 pedestrians for Estonia, 249 for Greece, 112 for Kosovo, 176 for Russia, and 145 for Turkey. The principal component analyses revealed that the four-factor structure of the Pedestrian Behavior Scale (PBS) was highly consistent across the five countries. ANCOVA results revealed significant differences between countries on the PBS items and scale scores. Specifically, Greek and Turkish participants reported transgressive pedestrian behaviors more frequently than Estonian, Kosovar, and Russian pedestrians while Kosovar participants reported transgressive pedestrian behaviors less frequently than Estonian pedestrians. In addition, Turkish and Russian pedestrians reported lapses and aggressive behaviors more frequently than Estonian, Greek, and Kosovar pedestrians. Finally, Turkish and Estonian pedestrians reported positive behaviors more frequently than Kosovar pedestrians. Unexpectedly, the regression analyses showed that values have varying effects on pedestrian behavior in the five countries. That is, context or country may determine the effect of values on pedestrian behaviors. The results are discussed in relation to the previous literature.

Significance of attitudes, passion and cultural factors in driver's speeding behavior in Oman: application of theory of planned behavior

Traffic accidents and related fatalities have become a major public health problem in the world. This study aims to identify the significant factors that play an important role in the speeding behavior of drivers. A comprehensive questionnaire was designed and conducted with the students and employees of the University of Nizwa. The questionnaire items were designed considering the theoretical background of the theory of planned behavior (TPB) and local socio-cultural aspects of the driving environment. A total of 303 usable samples were obtained. The collected data were analyzed using factor analysis and structural equation modelling technique. The extracted factors of speeding passion and culture, speeding attitudes, subjective norms and perceived behavioral control are significant determinants of drivers speeding behavior in Oman. The driver's speeding attitudes, speeding culture, and passion have positive association with the drivers' speeding intentions and behavior, and driver's perceived behavioral control forms negative relationship with the speeding behavior. This study confirms the application of the TPB in predicting the drivers' speeding behavior in the context of Oman.

Road Safety in Low-Income Countries: State of Knowledge and Future Directions

Road safety in low-income countries (LICs) remains a major concern. Given the expected increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is imperative to better understand the underlying mechanisms of road safety. This in turn will allow for planning cost-effective road safety improvement programs in a timely manner. With the general aim of improving road safety in LICs, this paper discusses the state of knowledge and proposes a number of future research directions developed from literature reviews and expert elicitation. Our study takes a holistic approach based on the Safe Systems framework and the framework for the UN Decade of Action for Road Safety. We focused mostly on examining the problem from traffic engineering and safety policy standpoints, but also touched upon other sectors, including public health and social sciences. We identified ten focus areas relating to (i) under-reporting; (ii) global best practices; (iii) vulnerable groups; (iv) disabilities; (v) road crash costing; (vi) vehicle safety; (vii) proactive approaches; (viii) data challenges; (ix) social/behavioural aspects; and (x) capacity building. Based on our findings, future research ought to focus on improvement of data systems, understanding the impact of and addressing non-fatal injuries, improving estimates on the economic burden, implementation research to scale up programs and transfer learnings, as well as capacity development. Our recommendations, which relate to both empirical and methodological frontiers, would lead to noteworthy improvements in the way road safety data collection and research is conducted in the context of LICs.

Presence of Toxoplasma gondii infection in brain as a potential cause of risky behavior: a report of 102 autopsy cases

Toxoplasmosis was linked to impairment in brain function, encompassing a wide range of behavioral and neuropsychiatric changes. Currently, the precise localization of Toxoplasma gondii in the human brain is limited and the parasite DNA was not found in population-based screening of autopsy cases. The aim of proposed study was to identify the presence of parasite DNA within the brain and its association with risky behavior and alcohol consumption in postmortem examination. Preliminarily, 102 cases with certain circumstances of death at time of forensic autopsy was included. Due to high risk of bias, the females were excluded from the analysis and final study group consists 97 cases divided into three groups: risky behavior, inconclusively risky behavior, and control group. The obtained tissue samples for Nested PCR covered four regions of the brain: symmetric left/right and anterior/posterior horns of lateral ventricles comprising lining ependyma and hippocampus. The second type of material comprised blood evaluated for antibodies prevalence using ELISA and alcohol concentration using HS-GC-FID. Analysis demonstrated 16.5% prevalence concerning the parasite DNA presence in examined brain tissue samples without specific distribution and association with age at death or days after death until an autopsy was performed. Results have shown correlation between occurrence of risky behavior leading to death and higher proportions of positive parasite DNA presence within the brain. Correlation was not observed between parasite DNA presence and excessive alcohol consumption. Conducted screening demonstrated correlation between parasite DNA presence in the brain with risky behavior and provided new information on possible effects of latent toxoplasmosis.

An empirical evaluation of multivariate spatial crash frequency models

Many studies have employed spatial, temporal, or a combination of both specifications for analysis of roadway crashes at different spatial levels. However, there is lack of a comprehensive study which compares the crash estimation performance of different spatial weight matrices and their combination with various temporal treatments. The current study fills the research gap by comparing different Full Bayesian (FB) multivariate spatiotemporal crash models. The pedestrian and bicyclist crash data across an eight-year period for 58 counties in California were used as a case study. Three groups of models were developed based on temporal treatment, where each group comprised of 17 models differing on the basis of different adjacency- and distance-based spatial weight matrices. The first group of multivariate models incorporated only unstructured random error term and spatially structured conditional autoregressive (CAR) term. The second group built upon the former and introduced a linear time trend to develop a spatiotemporal model, while the third group allowed the interaction of space and time. The predictive performance of the alternate models across and within groups was assessed by employing several evaluation criteria. The modeling results demonstrated the robustness of models based on the similar signs and closeness of coefficients for the posterior estimates of parameters. For overall model comparison, the pure-distance model D0.5 demonstrated the best performance for different evaluation criteria based on training and test errors across three groups. The variability in performance of other distance models suggested that caution must be exercised for the choice of exponents. The correlation analysis revealed the presence of positive correlations among the criteria based on training errors, as well as with cross-validation. However, a very strong positive correlation was observed between the criteria based on effective number of parameters and posterior deviance, indicating that an increased number of parameters may not lead to improved model fit. This finding reinforced the importance of selecting the optimum weight matrix for spatial correlation as a more complex structure may not lead to expected advantages at model performance. For comparison among three groups of different temporal treatments, the third group demonstrated the best performance and conveyed the benefits of incorporating the spatial and temporal interaction. The results from ANOVA (analysis of variance) and HSD (Honest Significant Differences) tests also established the existence of statistical differences for the superiority of space-time interactions models. However, the box and whisker plots demonstrated high variability among the models of the third group, suggesting that some models may not benefit from interaction term. For comparison among adjacency- and distance-based models, the distance-based models were mostly observed to be superior. However, the greater variability of model performance associated with distance-based models suggested for careful consideration during their selection. Additionally, it is important to note that the results observed in this study are specific to the county-level crash data of California. As such, the study does not recommend generalization of the results for extension to other spatial levels of roadway network, and readers and future research studies are advised to exercise caution before implementing the models.

Multilevel analysis of the role of human factors in regional disparities in crash outcomes

A growing body of research has examined the disparities in road traffic safety among population groups and geographic regions. These studies reveal disparities in crash outcomes between people and regions with different socioeconomic characteristics. A critical aspect of the road traffic crash epidemic that has received limited attention is the influence of local characteristics on human elements that increase the risk of getting into a crash. This paper applies multilevel logistic regression modeling techniques to investigate the influence of driver residential factors on driver behaviors in an attempt to explain the area-based differences in the severity of road crashes across the State of Alabama. Specifically, the paper reports the effects of characteristics attributable to drivers and the geographic regions they reside on the likelihood of a crash resulting in serious injuries. Model estimation revealed that driver residence (postal code or region) accounted for about 7.3% of the variability in the probability of a driver getting into a serious injury crash, regardless of driver characteristics. The results also reveal disparities in serious injury crash rate as well as significant proportions of serious injury crashes involving no seatbelt usage, driving under influence (DUI), unemployed drivers, young drivers, distracted driving, and African American drivers among some regions. The average credit scores, average commute times, and populations of driver postal codes are shown to be significant predictors for risk of severe injury crashes. This approach to traffic crash analysis presented can serve as the foundation for evidence-based policies and also guide the implementation of targeted countermeasures.

Contributors to young drivers' driving styles - A comparison between Israel and Queensland

Among the numerous factors that contribute to young novice drivers' driving styles, personality characteristics, sociodemographic variables, family atmosphere, and friends' norms are known to have an important impact. However, cross-cultural comparisons are relatively rare in the safety literature concerning young drivers. This study aimed at comparing young drivers from Israel and Queensland (Australia) and examining the contribution of personality, sociodemographic, family and friends' aspects to their driving styles (reckless and careless; hostile and angry; anxious; patient and careful). More specifically, this study examined the associations between young drivers' driving style and their perceptions of separation-individuation, the family climate for road safety, and the safe driving climate among friends. We also examined sociodemographic and driving history variables such as gender, the marital status of parents, and personal exposure to traffic crashes. The study consisted of two samples of male and female young drivers (age 17-22) from Israel (n=160) and Queensland (n=160), who completed a set of valid and reliable self-report questionnaires. Findings indicate that in general, maladaptive driving styles are associated with lower family tendency to engage in promoting road safety, higher pressure and costs of driving with peers, and unhealthier separation-individuation aspects. The opposite is observed for the patient and careful driving style that relates to higher engagement of the family in road safety, lower pressure from friends, and healthier separation-individuation. Some differences were found regarding specific styles between the two samples. In addition, women scored lower than men in the reckless and careless style, and higher (in the Israeli sample) in the anxious as well as the patient and careful styles. Overall, similarities in the associations between the study variables in the samples exceed the differences, and the importance of examining variables on multi-levels when referring to young drivers' driving styles, is confirmed. The findings attest to the universal utility of the MDSI, together with the understanding that only a wider examination of personal and environmental contributors enables true insights into the complex behavior of driving among young drivers.

The relative efficiency of Iranian's rural traffic police: a three-stage DEA model

BACKGROUND

Road traffic Injuries (RTIs) as a health problem imposes governments to implement different interventions. Target achievement in this issue required effective and efficient measures. Efficiency evaluation of traffic police as one of the responsible administrators is necessary for resource management. Therefore, this study conducted to measure Iran's rural traffic police efficiency.

METHODS

This was an ecological study. To obtain pure efficiency score, three-stage DEA model was conducted with seven inputs and three output variables. At the first stage, crude efficiency score was measured with BCC-O model. Next, to extract the effects of socioeconomic, demographic, traffic count and road infrastructure as the environmental variables and statistical noise, the Stochastic Frontier Analysis (SFA) model was applied and the output values were modified according to similar environment and statistical noise conditions. Then, the pure efficiency score was measured using modified outputs and BCC-O model.

RESULTS

In total, the efficiency score of 198 police stations from 24 provinces of 31 provinces were measured. The annual means (standard deviation) of damage, injury and fatal accidents were 247.7 (258.4), 184.9 (176.9), and 28.7 (19.5), respectively. Input averages were 5.9 (3.0) patrol teams, 0.5% (0.2) manpower proportions, 7.5 (2.9) patrol cars, 0.5 (1.3) motorcycles, 77,279.1 (46,794.7) penalties, 90.9 (2.8) cultural and educational activity score, 0.7 (2.4) speed cameras. The SFA model showed non-significant differences between police station performances and the most differences attributed to the environmental and random error. One-way main road, by road, traffic count and the number of household owning motorcycle had significant positive relations with inefficiency score. The length of freeway/highway and literacy rate variables had negative relations, significantly. Pure efficiency score was with mean of 0.95 and SD of 0.09.

CONCLUSIONS

Iran's traffic police has potential opportunity to reduce RTIs. Adjusting police performance with environmental conditions is necessary. Capability of DEA method in setting quantitative targets for every station induces motivation for managers to reduce RTIs. Repetition of this study is recommended, annually.

Effect of personality traits, age and sex on aggressive driving: Psychometric adaptation of the Driver Aggression Indicators Scale in China

This study aimed to assess the reliability and validity of the Chinese version of the Driver Aggression Indicators Scale (DAIS), which measures aggressive driving behaviors. Besides, demographic variables (sex and age) and the big five personality traits were examined as potential impact factors of aggressive driving. A total of 422 participants completed the DAIS, Big Five Personality Inventory (BFPI), and the socio-demographic scale. First, psychometric results confirmed that the DAIS had a stable two-factor structure and acceptable internal consistency. Then, agreeableness and conscientiousness were negatively correlated with hostile aggression and revenge committed by the drivers themselves, while neuroticism was positively correlated with aggressive driving committed by the drivers themselves. Meanwhile, more agreeable drivers may perceive less hostile aggression and revenge. More neurotic drivers may perceive more aggressive warning. Finally, the effects of age and sex on aggressive driving were not same as most studies. We found that older age group perceived and committed more hostile acts of aggression and revenge than younger age groups. Female drivers of 49-60 years perceived more aggressive warnings committed by other drivers.

Factors affecting the exposure, vulnerability and emergency medical service capacity for victims of road traffic incidents in Kampala Metropolitan Area: a Delphi study

BACKGROUND

The Kampala Metropolitan Area (KMA) is the fastest developing region in Uganda. Over recent years, this has placed exponential demand on the road sector, which consequently has contributed to rapid growth in motorized vehicles which, predisposes the region to a high risk of road traffic incidents (RTIs). A number of concerted road safety and post-crash management measures to respond to RTIs in the KMA in particular and Uganda as a whole have been undertaken. However, there is a need to greatly improve the measures by better identifying the factors influencing the exposure, vulnerability and emergency medical service (EMS) capacity for RTI victims. The present study seeks to investigate and reveal these factors.

METHODS

A Delphi technique employing a questionnaire and involving a multidisciplinary panel of experts was used in three rounds.

RESULTS

The ten (10) most important factors affecting the exposure, vulnerability and EMS capacity for victims of RTIs in the KMA were identified. Socio-cultural, infrastructure and road safety aspects were the factors most identified as affecting the exposure and vulnerability. The absence of a national EMS policy and post-crash care system, as well as the fact that many victims lack health insurance, were noted to be the factors adversely affecting the EMS capacity.

CONCLUSIONS

There exists is a real need to substantially reduce the burden of RTIs in KMA, with ultimate goal of saving lives that are being lost needlessly and reducing the impact of injuries and trauma and the economic losses associated with it. This study offers insights into the causes of RTIs and the most appropriate ways of responding to them especially with the establishment and empowerment of predefined and structured EMS systems.

Examining motorcyclists' postcrash impressions: A qualitative study

OBJECTIVE

Motorcycle-related crashes and injuries continue to be of great concern in Iran. This study seeks to explore how motorcyclists' perspectives and impressions of a crash are shaped and influence their future riding behaviors.

METHODS

This was a qualitative study conducted in 3 major cities in Iran between March 2011 and February 2012. Participants included 31 male motorcyclists, of whom 22 participated in 4 focus groups and 9 in in-depth interviews. Findings were derived through the thematic method of analysis.

RESULTS

Six delineated themes suggest different factors that influence riders' postcrash impressions. These include (1) opposing reactions from family and peers postcrash; (2) the motorcyclist's perception of his or her ability to handle risky road situations; (3) risk-taking attributes; (4) perceived responsibility in meeting family needs; (5) the severity of the crash-related injury; and (6) elapsed time from the crash experience.

CONCLUSIONS

Riders' postcrash impressions were formed by the opposing reactions of their family and peers to the crash experience (i.e., the index crash); the personality of riders, including being overconfident and a risk taker; familial obligations; feeling traumatized by the crash; and passage of time. These formed their perceptions, feelings, attitudes, and thoughts about the index crash. These findings are an important step in understanding how perception and attitudes of motorcyclists are shaped and how these influence their future riding behavior. The needs for interventional studies to assess the effectiveness of road safety risk reduction programs aligned with the riders' degree of postcrash impressions are discussed.

Does family background impact driving attitudes and risky behaviours? An investigation on Chinese young drivers

The rapid pace of motorisation in China has been well documented, as has the large road trauma burden the Chinese citizens are facing as a result. China's unique political system represents an important consideration in helping reduce road trauma, yet political factors have not been previously investigated in this context. Recently, emerging issues on the road involving the adult children of politically powerful families have become a serious social problem in China, and have drawn widespread media and public attention. This study took a novel approach to examining factors associated with risky attitudes and risky road use in China by investigating the economic and political background status of a sample of young Chinese drivers. An online survey was conducted in May 2015 with a sample size of 476 Chinese young drivers from across the country, aged between 18 and 28, including 305 males and 171 females. The results suggest that for participants who reported having a familial political background, more risky driving behaviours were reported among those participants who reported more impact on their life from that political background; while for participants without political background, higher personal income was associated with more risky driving behaviours. The findings are discussed in light of China's political management system and potential education opportunities for young drivers.