Traffic Safety Culture

A special issue of Safety (ISSN 2313-576X).

Deadline for manuscript submissions: 20 February 2025 | Viewed by 12196

Special Issue Editors


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Guest Editor
Department of Civil Engineering, Babol Noshirvani University of Technology, Babol 47148-73113, Iran
Interests: road safety; behavioral analysis; human Factor; transportation engineering; vulnerable road users

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Guest Editor
Department of Transportation and Hydraulic Engineering, School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: traffic safety; statistical and econometric methods; transportation design and analysis; travel behavior; emerging transportation technologies
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Special Issue Information

Dear Colleagues,

Traffic safety culture (TSC) is an emerging concept in the field of traffic safety research. It refers to “a set of shared patterns of behavior, norms, and expectations relating to certain road safety behaviors”. This definition implies a relationship between beliefs, attitudes, and behaviors. Individuals who hold certain beliefs are more likely to act in specific ways. Across different societal structures and populations, traffic safety culture paradigms aim to empower individuals and organizations to make safer transportation decisions by transforming their values and attitudes. Therefore, developing safe TSC requires an in-depth understanding of the prevailing culture of each population. This helps to identify high-risk road users, support the decision-making process regarding traffic safety policies and programs, and assists with the implementation of a zero-fatality road system.

Despite numerous attempts to study cultural transformation related to traffic behavior, more evidence is required in order for these transformations to bear a tangible impact on traffic safety. This Special Issue aims to deliver new evidence on traffic culture, practices, and implementation of policies related to TSC worldwide, with emphasis on countries that serve as leading paradigms in reducing TSC-related road fatalities. This Special Issue will facilitate the exchange of knowledge, especially of best practices and policies relating to TSC, with the main beneficiaries being countries with a large number of road fatalities, such as low- and middle-income Countries (LMICs), where fatality rates are more than double those in high-income countries.

Original research and review papers are welcome. Potential topics include (but are not limited to):

  • Contextual and cultural components of traffic safety;
  • Personality traits, especially of vulnerable road users;
  • Personal and social norms relating to traffic safety;
  • Traffic-related attitudes and behaviors;
  • Socio-economic factors and quality of life attributes;
  • Traffic Safety Culture Index;
  • Traffic Safety Culture strategies.

Dr. Abbas Sheykhfard
Dr. Grigorios Fountas
Guest Editors

Manuscript Submission Information

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Keywords

  • traffic safety culture
  • traffic behavior
  • zero road fatalities
  • vulnerable road users
  • driving behavior
  • road safety policies
  • personality traits
  • positive community
  • culture’s consequences
  • safe system

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Published Papers (5 papers)

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Research

16 pages, 273 KiB  
Article
Examining Risky Riding Behaviors: Insights from a Questionnaire Survey with Middle-Aged and Older Motorcyclists in Thailand
by Sayam Sunmud, Tosporn Arreeras, Suchada Phonsitthangkun, Sirin Prommakhot and Krit Sititvangkul
Safety 2024, 10(2), 48; https://doi.org/10.3390/safety10020048 - 27 May 2024
Viewed by 1561
Abstract
This research endeavors to achieve three primary objectives. Firstly, it seeks to develop a measurement model capable of assessing the motorcycle riding behavior of middle-aged individuals in Thailand. The construction of this model integrates the motorcycle rider behavior questionnaire (MRBQ) with statistical and [...] Read more.
This research endeavors to achieve three primary objectives. Firstly, it seeks to develop a measurement model capable of assessing the motorcycle riding behavior of middle-aged individuals in Thailand. The construction of this model integrates the motorcycle rider behavior questionnaire (MRBQ) with statistical and descriptive analyses. Secondly, the research examines the accuracy of the measurement model using a factor analysis approach, comprising both exploratory and confirmatory factor analyses. Lastly, the study aims to furnish the people of Thailand with a set of guidelines for self-assessment of their motorcycle riding habits. The examination involves 399 middle-aged motorcycle riders aged 35 years or older, a significant majority of whom (81%) possess the requisite licenses for motorcycle operation, with the majority (83%) accumulating over a decade of riding experience. Through analysis, a set of 39 items capturing nuanced behaviors exhibited by middle-aged motorcyclists in Thailand is identified. These items are categorized into four distinct clusters: speed violations, control errors, traffic errors, and adherence to safety equipment protocols. The utilization of the MRBQ in this study holds significant importance, as it provides valuable insights into the riding practices of the Thai population. The resultant findings hold the potential to inform safety initiatives and strategies aimed at enhancing the overall motorcycle riding experience. Full article
(This article belongs to the Special Issue Traffic Safety Culture)
13 pages, 239 KiB  
Article
Cognitive and Motivational Antecedents of Different Driving Styles in a Sample of Lithuanian Drivers
by Justina Slavinskienė and Auksė Endriulaitienė
Safety 2024, 10(1), 27; https://doi.org/10.3390/safety10010027 - 13 Mar 2024
Viewed by 1449
Abstract
The aim of this study was to assess whether road risk, road hazard perception skills, and attitudes towards risky driving are significant psychological antecedents of different driving styles. The study sample consisted of 446 non-professional drivers (with an average age of 32.6 years) [...] Read more.
The aim of this study was to assess whether road risk, road hazard perception skills, and attitudes towards risky driving are significant psychological antecedents of different driving styles. The study sample consisted of 446 non-professional drivers (with an average age of 32.6 years) and 200 professional drivers (with an average age of 47.7 years) from Lithuania. The study questionnaire included demographic questions, a multidimensional driving style assessment, a Lithuanian version of a hazard prediction test, a risk perception scale, and a subjective evaluation of driving competenc3 (perceptual, motor, and safety driving skills), as well as an evaluation of attitudes towards risky driving. The results confirmed that cognitive factors, together with attitudes towards driving and demographic factors, are important for understanding the origins of different driving styles. Cognitive factors like hazard perception and risk perception skills were found to be significant predictors of anxious, careless, and angry driving styles, mainly for professional drivers. Attitudes towards risky driving together with demographic characteristics and cognitive factors were found to important in predicting anxious, careless, and angry driving styles among professional as well as non-professional drivers. The subjective evaluation of driving competence (driving skills) was found to be crucial in predicting all four driving styles, but only in the non-professional drivers sample. Full article
(This article belongs to the Special Issue Traffic Safety Culture)
18 pages, 719 KiB  
Article
Nonlinear Analysis of the Effects of Socioeconomic, Demographic, and Technological Factors on the Number of Fatal Traffic Accidents
by Nassim Sohaee and Shahram Bohluli
Safety 2024, 10(1), 11; https://doi.org/10.3390/safety10010011 - 10 Jan 2024
Cited by 3 | Viewed by 2773
Abstract
This study explores the complex connections among various socioeconomic, demographic, and technological aspects and their impact on fatal traffic accidents. Utilizing the Lasso polynomial regression model, this study explores the impact of demographic variables, including income, education, unemployment rates, and family size. Additionally, [...] Read more.
This study explores the complex connections among various socioeconomic, demographic, and technological aspects and their impact on fatal traffic accidents. Utilizing the Lasso polynomial regression model, this study explores the impact of demographic variables, including income, education, unemployment rates, and family size. Additionally, socioeconomic factors such as Gross Domestic Product (GDP) per capita, inflation rate, minimum wage, and government spending on transportation and infrastructure are examined for their impact on the occurrence of fatal accidents. This study also investigates the influence of technological advances in vehicles on the outcomes of traffic safety. The findings of this research reveal that certain factors, such as average, alcohol consumption, unemployment rate, minimum wage, and vehicle miles traveled (VMT), among others, have a substantial impact on the multifactorial model and play a considerable role in the frequency of fatal accident rates. The research results have significant implications for policymakers, highlighting the need for a comprehensive approach that accounts for the interdependence of economic indicators, behavioral patterns, and traffic safety outcomes. This study underscores the importance of considering a wide range of socioeconomic, demographic, and technological factors to develop effective policies and strategies to reduce fatal traffic accidents. Full article
(This article belongs to the Special Issue Traffic Safety Culture)
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28 pages, 6369 KiB  
Article
Analyzing Near-Miss Incidents and Risky Riding Behavior in Thailand: A Comparative Study of Urban and Rural Areas
by Sajjakaj Jomnonkwao, Natthaporn Hantanong, Thanapong Champahom, Chamroeun Se and Vatanavongs Ratanavaraha
Safety 2023, 9(4), 90; https://doi.org/10.3390/safety9040090 - 12 Dec 2023
Cited by 1 | Viewed by 2535
Abstract
Preventing near-miss incidents is considered a proactive measure, as it aims to prevent events that have a risk of resulting in accidents. This is regarded as a vital component of building a sustainable and secure society within communities. In the present day, low- [...] Read more.
Preventing near-miss incidents is considered a proactive measure, as it aims to prevent events that have a risk of resulting in accidents. This is regarded as a vital component of building a sustainable and secure society within communities. In the present day, low- and middle-income countries (LMICs) often experience the highest fatality rates from motorcycle accidents, which frequently involve mixed traffic scenarios with other vehicles. The distinct physical characteristics and environmental conditions of roads in urban and rural areas significantly contribute to different riding behaviors. Therefore, the objective of this study is to develop a behavioral model related to near-miss incidents among motorcycle riders in both urban and rural regions using multi-group structural equation modeling (SEM). Data collected from six Thai regions via adapted MRBQ assessed control errors, violations, and safety equipment use in a sample of 2002 riders (1066 urban, 936 rural). Through parameter invariance testing, differences in factor loadings, intercepts, and structural paths were identified between urban and rural areas. All three of these factors significantly influenced near-miss incidents among motorcycle riders in both urban and rural areas. The policy recommendations resulting from this study can contribute to enhancing safety measures for motorcycle riders. Full article
(This article belongs to the Special Issue Traffic Safety Culture)
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19 pages, 2712 KiB  
Article
Application of the Apriori Algorithm for Traffic Crash Analysis in Thailand
by Ittirit Mohamad, Rattanaporn Kasemsri, Vatanavongs Ratanavaraha and Sajjakaj Jomnonkwao
Safety 2023, 9(3), 58; https://doi.org/10.3390/safety9030058 - 28 Aug 2023
Cited by 2 | Viewed by 2589
Abstract
Accidents pose significant obstacles to economic progress and quality of life, especially in developing countries. Thailand faces such challenges and this research seeks to assess the frequency and most common causes of road accidents that lead to fatalities. This study employed the Apriori [...] Read more.
Accidents pose significant obstacles to economic progress and quality of life, especially in developing countries. Thailand faces such challenges and this research seeks to assess the frequency and most common causes of road accidents that lead to fatalities. This study employed the Apriori algorithm to examine the interrelationships among factors contributing to accidents in order to inform policymaking for reducing accident rates, minimizing economic and human losses, and enhancing the effectiveness of the healthcare system. By analyzing road accident data from 2015 to 2020 in Thailand (167,820 accidents causing THB 1.13 billion in damages), this article specifically focuses on the drivers responsible for fatal highway accidents. The findings reveal several interconnected variables that heighten the likelihood of fatalities, such as male gender, exceeding speed limits, riding a motorbike, traveling on straight roads, encountering dry surface conditions, and clear weather. An association rule analysis underscores the increased risk of injury or death in traffic accidents. Full article
(This article belongs to the Special Issue Traffic Safety Culture)
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