The influence of traffic-infrastructure factors on pedestrian accidents at the macro-level: The geographically weighted regression approach.

INTRODUCTION: Walking is an active way of moving the population, but in recent years there have been more pedestrian casualties in traffic, especially in developing countries such as Serbia. Macro-level road safety studies enable the identification of influential factors that play an important role in creating pedestrian safety policies. METHOD: This study analyzes the impact of traffic and infrastructure characteristics on pedestrian accidents at the level of traffic analysis zones. The study applied a geographically weighted regression approach to identify and localize all factors that contribute to the occurrence of pedestrian accidents. Taking into account the spatial correlations between the zones and the frequency distribution of accidents, the geographically Poisson weighted model showed the best predictive performance. RESULTS: This model showed 10 statistically significant factors influencing pedestrian accidents. In addition to exposure measures, a positive relationship with pedestrian accidents was identified in the length of state roads (class I), the length of unclassified streets, as well as the number of bus stops, parking spaces, and object units. However, a negative relationship was recorded with the total length of the street network and the total length of state roads passing through the analyzed area. CONCLUSION: These results indicate the importance of determining the categorization and function of roads in places where pedestrian flows are pronounced, as well as the perception of pedestrian safety near bus stops and parking spaces. PRACTICAL APPLICATIONS: The results of this study can help traffic safety engineers and managers plan infrastructure measures for future pedestrian safety planning and management in order to reduce pedestrian casualties and increase their physical activity.

Effectiveness of implementing a Graduated Driver Licensing (GDL) law among young Serbian drivers.

INTRODUCTION: Young novice drivers have higher rates of engagement in road crashes worldwide, often owing to unfavorable attitudes toward road safety or lack of knowledge, experience, and risk consciousness. However, the implementation of graduated driver licensing (GDL) systems has proven effective in reducing the high incidence of young drivers involved in crashes. METHOD: The purpose of this study was to compare the change in driving outcomes (e.g., attitudes toward traffic safety, behavior patterns while driving, risk assessment in traffic, assessment of personal driving skills, and involvement in traffic crashes) of young drivers prior to and following the implementation of a GDL law. Respondents (n = 642) completed a battery of questions, including a driver attitudes questionnaire (Behaviour of Young Novice Drivers Scale), a self-assessed driving ability questionnaire, and a risk perception questionnaire. Of the total sample size, 324 drivers passed the old system of training driver's license candidates, and 318 drivers passed the new GDL system. RESULTS: The results showed that drivers licensed with GDL reported safer attitudes toward traffic rule violations and speed, and higher levels of safety orientation with regard to their driving abilities. They also reported much higher levels of risk perception and lower exposure to risky situations (risky driving exposure). There were no differences between GDL drivers and non-GDL drivers in terms of self-reported crashes or transient or fixed violations. In addition, GDL was not related to the number of traffic crashes, the number of fatalities, or serious and slight injuries in crashes involving young drivers in crashes obtained from official records. CONCLUSIONS: The results suggest that GDL contributed to the improvement of drivers' attitudes and understanding of risk but did not contribute to significant changes in the behavior of young drivers and traffic crashes. In addition, the GDL program in Serbia only ranks fair on the Insurance Institute for Highway Safety (IIHS) scale. Strengthening the GDL program in Serbia with additional components in line with GDL programs rated as good by the IIHS scale could improve the safety of young and novice drivers in traffic.

Differences in Driving Anger among Professional Drivers: A Cross-Cultural Study.

Public transport systems have a vital role in achieving sustainable mobility goals, diminishing reliance on private individual transport and improving overall public health. Despite that, transport operators are often in situations that require them to cope with complex working conditions that lead to negative emotions such as anger. The current study represents a segment of the permanent global research agenda that seeks to devise and test a psychometric scale for measuring driving anger in professional drivers. The present research is one of the first attempts to examine the factorial validity and the cross-cultural measurement equivalence of the broadly utilized Driving Anger Scale (DAS) in three culturally different countries within the Western Balkans region. The respondents (N = 1054) were taxi, bus and truck drivers between 19 and 75 years of age. The results pertaining to confirmatory factor analysis showed that there were adequate fit statistics for the specified six-dimensional measurement model of the DAS. The measurement invariance testing showed that the meaning and psychometric performance of driving anger and its facets are equivalent across countries and types of professional drivers. Furthermore, the results showed that driving anger facets had positive correlations with dysfunctional ways of expressing anger and negative correlations with the form of the prosocial anger expression. In addition, the results revealed that taxi drivers displayed considerably higher levels of anger while driving and aggressive driving than truck and bus drivers. Overall, this study replicates and extends the accumulated knowledge of previous investigations, suggesting that the original DAS remains a reliable and stable instrument for measuring driving anger in day-to-day driving conditions.

Driving anger and factors related to aggressive driving among Serbian drivers.

Objective: Driving anger has been found to be a motivational determinant of risky and aggressive driving. The study reported in this article focused on research questions concerning the conceptualization of driving anger and relationships between driving anger and aggressive driving.Methods: In a cross-sectional survey study, 1,020 regular Serbian drivers completed a web-based online questionnaire. Exploratory Factor Analysis and Confirmatory Factor Analysis were used to assess the factor structure and psychometric properties of the Driving Anger Scale.Results: The results showed that the adapted DAS was a valid and reliable instrument divided into five subscales such as discourteous behavior, illegal behavior, slow driving, hostile gestures and traffic obstructions. The robustness of the five-factor model obtained from the EFA was confirmed by the CFA. The study provided evidence supporting the predictive validity of the adapted DAS and revealed that the dimensions of driving anger are differently associated with prosocial and aggressive driving behaviors.Conclusions: The study supports the adapted DAS validity and produces evidence that driving anger is associated with driving outcomes.

The influence of driving anger on truck drivers' speeding behavior in Serbia: the evidence from naturalistic global positioning system driving data.

OBJECTIVE: Speeding behavior is recognized as one of the three main causes of risk on the roads and the most frequent ordinary violation among truck drivers. The study reported in this article focused on the driving anger personality trait and its role in predicting the observed speeding behavior in a sample of truck drivers. METHODS: A longitudinal study design was implemented, where 93 Serbian truck drivers filled in an adapted form of the Driving Anger Scale designed to assess the amount of driving anger evoked by specific traffic situations. The drivers' second-by-second speeding behavior data were captured using GPS tracking and recording devices installed in the vehicles over a period of six months. Hierarchical multiple linear regression was used to examine the predictive performance of driving anger. RESULTS: The results showed that more than three fourths of the exceeded speed ranged from 1 to 9 km/h and the highest percentage of speed events occurred in urban areas. The findings suggest that truck drivers experienced the highest level of anger in driving because of the discourteous and illegal behavior of other drivers. Younger truck drivers are more likely to drive fast compared to older drivers. Truck drivers who perform driving tasks more often and spend less time driving are more likely to participate in speed events. The results revealed that the subscales of anger, hostile gestures and traffic obstructions have a positive effect, while slow driving has a negative effect on the observed speeding behavior of truck drivers. CONCLUSIONS: This study confirms the predictive performance of driving anger facets. The results of the research can help us improve our understanding of the mechanisms of speeding behavior of truck drivers.

Macro-level accident modeling in Novi Sad: A spatial regression approach.

In this study, a macroscopic analysis was conducted in order to identify the factors which have an effect on traffic accidents in traffic analysis zones. The factors that impact accidents vary according to the characteristics of the observed area, which in turn leads to a discrepancy between research and practice. The total number of accidents was observed in this paper, along with the number of motorized and non-motorized mode accidents within a three-year period in the city of Novi Sad. The models used for this analysis were spatial predictive models comprised of the classical predictive space model, spatial lag model and spatial error model. The spatial lag model showed the best performances concerning the total number of accidents and number of motorized mode accidents, whereas the spatial error model was prominent within the number of non-motorized mode accidents. The results found that increasing Daily Vehicle-Kilometers Traveled, parking spaces, 5-legged intersections and signalized intersections increased all types of accidents. The other demographic, traffic, road and environment characteristics showed that they had a different effect on the observed types of accidents. The results of this research can be benefitial to reserachers who deal with traffic engineering, space planning as well as making decisions with the aim of preparing countermeasures necessary for road safety improvement in the analysed area.

An examination of the construct and predictive validity of the self-reported speeding behavior model.

The present study deals with the problem of speeding behavior on rural roads. The purpose of the paper is to examine the construct validity and the internal consistency and reliability of a questionnaire that measures the determinants of speeding behavior. In addition, it aimed to test the predictive validity of a modified theoretical framework of a theory of planned behavior (TPB) in relation to speeding behavior. A total of 546 car drivers from five local communities in the Republic of Srpska successfully completed the questionnaire after reading the scenario. The principal component analysis revealed seven components interpreted as: personal norm, perceived behavioral control, affective attitude toward speeding, subjective norm, habit, descriptive norm, and cognitive attitude toward speeding. A speeding behavior model was developed by structural equation modeling. Personal norm, subjective norm, and affective attitudes were shown to be important variables within the modified TPB in understanding speeding behavior. Overall, the present findings provide significant support for the concept of the modified theoretical framework of TPB in relation to speeding behavior on rural roads. Implications for a speeding behavior model and interventions are discussed.