Socio-demographic characteristics of traffic offenders

Автор: Aleksandra Petrović, Miloš Pljakić, Boško Matović

Журнал: Pravo - teorija i praksa @pravni-fakultet

Рубрика: Articles

Статья в выпуске: 4 vol.41, 2024 года.

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The human factor is regarded as the most significant element in traffic safety. Its complexity and impact on delinquent traffic behavior bring this issue into focus, especially in developing countries. In criminological studies of the causes of traffic delinquency, it is crucial to identify the personality traits of traffic participants that lead to behaviors deviating from socially desirable norms. In other words, it is necessary to point out those characteristics of traffic participants (personality traits, demographic characteristics, attitudes, habits) that contribute to socially deviant behavior and the commission of traffic offenses. The importance of studying these characteristics lies in their application to find adequate measures to influence the behavior of traffic participants and prevent traffic delinquency. This paper analyses the socio-demographic characteristics of traffic offenders in the Republic of Serbia (age, education level and marital status), based on statistical data on traffic offenses for the period 2010- 2019. These characteristics are essential for understanding the social and demographic structure and specific social peculiarities of traffic offenders. Numerous studies have shown that socio-demographic characteristics are significantly positively correlated with safe road user behavior. The results of this research on the socio-demographic characteristics of traffic offenders in Serbia for the period 2010–2019 confirm this conclusion, which is presented in this paper.

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Traffic offenders, socio-demographic characteristics, traffic safety

Короткий адрес: https://sciup.org/170206446

IDR: 170206446   |   DOI: 10.5937/ptp2404069P

Текст научной статьи Socio-demographic characteristics of traffic offenders

  • 2.    Subject and research methods

  • 3.    Age

    Criminological findings indicate that there is a connection between the age of life and the manner of human behavior, and thus deviant behavior. It can be said that criminality and delinquent behavior are characterized by age conditioning, that is, there is a certain proportionality between human vitality and deviant behavior. Such rules also apply to the behavior of different age categories in traffic. Age is related to the level of psychophysical abilities of road users and is another demographic variable often reported to be associated with risky driving. Early young and old age are ages that are characterized by reduced abilities to participate in traffic, and are reflected in different ways on the behavior of traffic participants (Lyon et al., 2020, p. 213).

Socio-demographic characteristics are important for understanding the social and demographic structure and certain social peculiarities of traffic delinquents. These characteristics cannot be considered as the cause of delinquent behavior in traffic – but only as an intermediate factor, a condition that acts on the etiological factors, which influence the commission of traffic offenses.

This paper analyzes the results of research on the influence of age, marital status and education on the delinquent behavior of road users. The subject of research includes a significant spatial and temporal dimension. For the purposes of this work, statements in the literature, results of empirical research and statistical data on the sociodemographic characteristics of traffic delinquents for the period 2010-2019 were collected and analysed in the Republic of Serbia (Data basis of the Traffic Safety Agency of the Republic of Serbia and Republic Institute for Statistics of the Republic of Serbia). After reviewing the statistical data, a qualitative and quantitative content analysis was performed. In addition to statistical methods, content analysis methods, empirical methods, descriptive methods, comparative methods, as well as deduction and induction methods were also used during the research.

In the continuation of the paper, statements in the literature and the results of empirical research on the influence of sociodemographic characteristics (age, marital status and education) on the safe behavior of road users, as well as statistical data on the sociodemographic characteristics of traffic delinquents in the Republic of Serbia in the observed period (Petrović, 2021a, pp. 244–246).

It is pointed out that young drivers don’t have driving experience which are necessary to develop skills needed for identifying and responding adequate on different hazards on the road. (Fisher, Caird, Horrey & Trick, 2016). There are several characteristics of young drivers that influence safe driving behavior. Tendency to risky behavior while driving, inexperience and immaturity, poor risk perception, driving at night, under the influence of alcohol, tiredness, susceptibility to influence (by fellow passengers) to take greater risks while driving, and the fact that they consider themselves safe drivers (Stanojević, 2013;

In the other hand, researches show that, older drivers also have high risk to be involved in traffic accidents, because od the factors related to the ageing-related factors, especially because of decreasing motor, cognitive, perceptual skills critical for driving safety (Clarke, Ward, Bartle & Truman, 2010). It is emphasized that the “U curve” that characterizes the degree of decline in psychophysical ability (early and late life) does not mean that older drivers introduce a risk in traffic due to their reduced driving skills (as is the case with young drivers). Research shows that older drivers are aware of their reduced psychophysical abilities and adjust their driving behavior to that circumstance. For example, they decide on shorter journeys, avoid driving in risky conditions (avoid driving at night, driving during rush hours, take more frequent breaks, etc.). Their greater suffering in traffic accidents, compared to other age categories of road users, is not related to reduced driving skills, but to other reasons (for example, less mileage, reduced tolerance to injuries) (Mayhew, 2007;

One research in USA showed that there are up to six times increased possibility for involvement younger and elder drivers in road crashes than middle-age drivers (based on mileage) (Insurance Institute for Highway Safety, 2017).

The influence of age on delinquent behavior is most significant among younger and older road users (the so-called U curve). Data on age categories of participants in traffic accidents and traffic accidents with fatalities in the Republic of Serbia for the period 2010–2019. year, confirm these statements in the literature (table 1).

Table 1. Structure of participants in traffic accidents and in traffic accidents with fatalities by age category in the Republic of Serbia for the period from 2010 to 2019

Age

Participants in traffic accidents

Traffic accidents with fatalities

Years

Total

%

Total

%

0-14

17896

2.73

336

3.09

15-24

82490

12.60

1473

13.54

25-34

154722

23.63

2013

18.50

35-44

147683

22.56

1833

16.85

45-54

113513

17.34

1749

16.08

55-64

88976

13.59

1676

15.41

over 65

49396

7.55

1799

16.54

Total

654676

100.00

10879

100.00

Data source: Traffic Safety Agency of the Republic of Serbia

The largest percentage of participants in traffic accidents is the age category of 25-34 years of age (23.63%). At the same time, this age category accounts for the highest percentage of traffic accidents with fatalities (18.50%). The age category over 65 makes up 7.55% of participants in traffic accidents, but the percentage of accidents with fatalities in this category is significant (16.54%), especially considering the percentage of participation in traffic accidents of this age category.

In the structure of adults convicted of crimes against public traffic safety, the highest percentage of those convicted are in the age category 21-29 (26.39%). The age category over 60 years makes up 10.02%, while the age category 18-20 years makes up 5.79% in the structure of convicted adults (table 2).

Table 2. The structure of adults convicted of crimes against public traffic safety in the Republic of Serbia by age and gender in the period from 2010 to 2019

Age

18–20 years of age

21–29 years of age

30–39 years of age

40–49 years of age

50–59 years of age

60 and more years of age

Total

F

М

F

М

F

М

F

М

F

М

F

М

131

1496

569

6843

641

6116

463

4798

258

3869

155

2665

%

0,47

5,32

2,07

24,32

2,28

21,74

1,65

17,05

0,92

13,75

0,55

9,47

% (М+Ж)

5,79

26,39

24,02

18,7

14,67

10,02

Data source: Republic Institute for Statistics of the Republic of Serbia

Based on the data presented in the table, it is possible to determine the interaction of gender and age of adults convicted of traffic crimes. The highest percentage of convicted adult males is aged 21-29 (24.32%). This number makes up a quarter of the total number of convicted adult men. The highest percentage of convicted adult women is aged 30-39 (2.28%), which makes up close to a third of convicted adult women. Based on these data, it can be concluded that there is a connection between younger age and delinquent behavior in traffic.

  • 4.    Education level

    It is considered that the degree of educational level of an individual is correlated with positive attitudes towards traffic, willingness to obey traffic rules, etc. It is assumed that a low level of education has a negative effect on safe behavior in traffic, due to difficulty in navigating and mastering complex traffic tasks. Research shows that drivers with a higher education are less likely to cause traffic accidents than drivers with a lower education level. It can almost be said without any doubt that the difficulties in mastering elementary school and the family’s failure in education influence the absence of an appropriate level of traffic education. Among such drivers, there is no interest in eliminating knowledge gaps, so it is assumed that they will not be able to successfully adhere to the basic principles that apply to safe behavior in traffic. In this regard, the unfavorable situation in the category of professional drivers is highlighted, because they are more exposed to traffic and, as a rule, have a lower level of general education and in addition, they often drive a motor vehicle in a tired state (Petrović, 2021b, p. 120).

Observing the educated level of the population, numerous studies show that among the drivers who caused traffic accidents, there is a relatively large percentage of those with a low educational status, as well as that these road users have the highest rate of casualties in traffic accidents, especially if they are young women aged 20-29 years old (Ashkan, S at all, 2013., p. 281). Several studies in different countries have determined that the level of education is an important factor that has a significant impact on the involvement of traffic accidents (Lourens, Vissers & Jessurun, 1999; Martínez-Gabaldón, Martínez-Peréz & Méndez, 2019;

Research done earlier in our country shows that among the traffic delinquents in Novi Sad, there were 44.61% with incomplete primary and elementary school, and 49.02% with those who did not complete high school. These data support the assumption that a low educational status has an unfavorable outcome due to slower adaptation in traffic, as well as the speed of decision-making in complex traffic situations (Jovanović, 2003, pp. 106–107).

One of the important prerequisites for the successful and safe performance of complex traffic activities is education in the field of traffic. The influence of the general level of education, i.e. schooling, is a prerequisite for the successful acquisition of knowledge in the field of traffic. This is another possible influence of the educational level of road users on safe behavior. Experiences show that for safe participation in traffic, basic knowledge of traffic regulations is required, that is, it is necessary to have at least a minimum level of traffic knowledge (Inić., 2004, p. 340). The basic goals of various types of education and training in traffic is safe participation in traffic, that is, awakening, acceptance, implementation, improvement and expansion of basic knowledge about traffic. This knowledge is acquired in all periods of the life cycle, and based on that, the level of knowledge of individual traffic participants changes during the life period.

Traffic safety is influenced by the volume and structure of knowledge – traffic education of traffic participants. The lack of minimum knowledge increases the risk of participation in traffic accidents for all categories of traffic participants (drivers, cyclists, pedestrians). Better training of all road users, especially drivers, reduces the severity and frequency of traffic accidents. The demands of modern traffic point to the need for better preparation of people for traffic (in addition to knowledge of basic traffic regulations and management skills), and this implies traffic education and raising the general level of traffic culture in a society.

Statistical data on the education of convicted adults (table 3) show that the highest percentage of convicted persons had completed secondary school, 64.42%. A significantly smaller percentage of convicts have primary school 15.03% and higher school 11.02%, incomplete primary school 2.74% and no school 0.52%.

Table 3. The structure of adults convicted of crimes against public traffic safety by level of education in the Republic of Serbia in the period from 2010 to 2019

Education level

No education

Incomplete elementary school (1–7 grades)

Elementary school

High School

Higher education

Number

147

770

4229

18127

3102

%

0,52

2,74

15,03

64,42

11,02

Data source: Republic Institute for Statistics of the Republic of Serbia

The total number of convicted adults with secondary education and educational levels lower than secondary (primary school, incomplete primary school or no school) constitutes 82.71% of convicted persons, which indicates a significant representation of this demographic factor in the structure of traffic crime.

  • 5.    Marital status

    By examining the correlation of marital status and traffic accidents, it was determined that this sociodemographic characteristic has a certain influence on the safe behavior of road users, as well as on the rate of traffic accidents. Studies have shown that single men have a higher rate of traffic accidents than married men of the same age. An even greater and more systematic effect was found in women. The traffic accident rate of unmarried women exceeds the traffic accident rate of married men at all ages. However, the results of these studies are somewhat influenced by the higher representation of married than unmarried women in the driver population (Evans,1991).

  • 5.    Conclusion

    Socio-demographic characteristics are important for understanding the social and demographic structure and certain social peculiarities of traffic delinquents. This results from the results of numerous studies, in which it was determined that sociodemographic characteristics (gender, age, driving experience, education, marital status, etc.) are significantly positively correlated with the safe behavior of road users. The results of the research on the socio-demographic characteristics of traffic delinquents in the Republic of Serbia for the period 2010-2019 point to the same conclusion. year. The population aged 25–34 makes up a quarter of the participants in traffic accidents. A quarter of adults convicted of traffic offenses are men aged 21– 29. Data on other socio-demographic characteristics of adults convicted of traffic offenses show that the highest percentage of those convicted according to: educational level – with high school education (64.42%), and according to marital status – married (53.55%). This research confirms the correlation between the analyzed sociodemographic characteristics of traffic delinquents and delinquent behavior in traffic. Although age, education, marital status cannot be considered as the cause of delinquent behavior in traffic – but only as an indirect factor, a condition that acts on etiological factors, which affect the commission of traffic offenses, these results can significantly contribute to the selection of adequate preventive measures to prevent traffic offenses.

Table 4 shows the marital status of adults convicted of crimes against public traffic safety in the Republic of Serbia in the period 2010-2019. year. The statistical data presented in Table 4 show that more than half of the convicted persons (53.55%) belong to the married category, while a third of the convicted persons (32.46%) belong to the category of single persons. The divorced category makes up 7.20% of convicted persons and widows/widowers 2.12%.

Table 4. Structure of adults convicted of crimes against public traffic safety by marital status in the Republic of Serbia in the period from 2010 to 2019

Year

Single

Married

Widower/Widow

Divorced

2010

1058

1648

53

152

2011

1224

2042

58

217

2012

1097

1803

63

216

2013

1130

1877

70

238

2014

1060

1893

83

267

2015

816

1366

61

220

2016

682

1165

46

183

2017

738

1140

61

202

2018

637

992

55

178

2019

705

1161

63

241

Total

8442

13926

550

1873

%

32.46%

53.55%

2.12%

7.20%

Women

617

921

143

266

%

2.37%

3,54%

0,55%

1,02%

Men

7825

13005

407

1607

%

30,09 %

50,01%

1,56%

6,18 %

Data source: Republic Institute for Statistics of the Republic of Serbia

ACKNOWLEDGEMENT

The authors express their gratitude to the Ministry of Science, Technological Development, and Innovation of the Republic of Serbia for funding this scientific research, under Contract No. 451-03-65/202403/200155, conducted by the Faculty of Technical Sciences in Kosovska Mitrovica, University of Priština.

Petrović Aleksandra

Univerzitet u Prištini sa privremenim sedištem u Kosovskoj Mitrovici, Fakultet tehničkih nauka, Kosovska Mitrovica, Srbija

Pljakić Miloš

Univerzitet u Prištini sa privremenim sedištem u Kosovskoj Mitrovici, Fakultet tehničkih nauka, Kosovska Mitrovica, Srbija

Matović Boško

Univerzitet Crne Gore, Mašinski fakultet, Podgorica, Crna Gora

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