Multidimensional Traffic Locus of Control Scale

Özkan, Türker; Lajunen, Timo

doi:10.1037/t12058-000

Cited by 2 publications

(5 citation statements)

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“…It is noteworthy that the model with traffic resilience accounted for the largest proportion of the explained variance in the functionality dimension of traffic climate. This is not surprising as the functionality dimensions are related to the safety and mobility aspects of the traffic system (Özkan & Lajunen, 2015). Given the characteristics of traffic resilience and the definitions of functionality, the observed positive relationship between the two can be interpreted as evidence of the validity of the concept of traffic resilience in the context of drivers' perception of traffic climate.…”

Section: Discussionmentioning

confidence: 92%

“…For example, Naevestad et al (2020Naevestad et al ( , 2022 highlighted regional differences in traffic safety culture. Similarly, Özkan & Lajunen (2015) proposed a conceptual model of traffic safety culture that includes different levels. According to this model, several factors from magna, macro, meso, and micro levels can be associated with traffic safety culture and later related to various driving outcomes.…”

Section: Introductionmentioning

confidence: 99%

“…Internal requirements aspect is related to the skills and abilities required for successful engagement in the traffic system (Gehlert et al, 2014). The measurement can be used to measure road users' perceptions of traffic climate at the country level (referred to as the macro level) and to interpret differences between road users within countries or between countries (Gehlert et al, 2014;Özkan & Lajunen, 2015;Öztürk et al, 2023;Üzümcüoğlu et al, 2020b).…”

Section: Introductionmentioning

confidence: 99%

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Exploring the relationship between traffic resilience and driver behaviors through traffic climate

Öztürk,

Tümer,

Öz

2024

TSR

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Traffic safety culture and climate have emerged as an integral part of road safety policy and practice in recent decades, resulting in an emphasis on a holistic approach to road safety through systems thinking. The aim of this study was to investigate the relationship between drivers' perceptions of traffic resilience and traffic climate and their impact on driver behaviors. A total of 216 drivers aged between 19 and 32 years completed an online questionnaire consisting of the Traffic Resilience Scale (TRS), the Traffic Climate Scale (TCS), the Driver Behavior Questionnaire (DBQ), and the Positive Driver Behaviors Scale (PDBS). Serial mediation analyses were conducted to examine the objectives of the study. The results showed that drivers who perceived the traffic system as more resilient tended to perceive the traffic system as more functional and less externally demanding. The drivers' perceptions of traffic resilience were found to be directly related to the traffic climate and indirectly related to the driver behaviors through external affective demands and internal requirements. Increased traffic resilience was associated with increased aberrant behaviors and decreased positive behaviors through reduced external affective demands and internal requirements. These findings can be considered to make a unique contribution to the literature in understanding the motivations behind aberrant behaviors of drivers and highlight the need for road safety policies to take into account road users' perceptions of traffic resilience and traffic climate in order to better understand, predict, and modify road user behaviors for a safer traffic system.

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Section: Discussionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring the relationship between traffic resilience and driver behaviors through traffic climate

Öztürk,

Tümer,

Öz

2024

TSR

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“…Traffic Climate Scale. The scale was developed by O ¨zkan and Lajunen (27) to measure road users' perceptions of the traffic system of a country under three dimensions. Items showing external affective demands, such as annoying and aggressive, can be characterized by emotional engagement with the external driving environment.…”

Section: Methodsmentioning

confidence: 99%

“…One of the macro-level factors associated with road safety is the traffic climate ( 25 ). Özkan and Lajunen ( 26 ) defined traffic climate as “the road users’ (i.e., drivers’) attitudes and perceptions of the traffic in a context (e.g., country) at a given point in time.” The traffic climate perception of road users has been measured with the Traffic Climate Scale under three dimensions: external affective demands, internal requirements, and functionality ( 27 ). External affective demands indicate the emotional engagement in the traffic system with items such as “chaotic” and “pressurizing” ( 28 ).…”

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confidence: 99%

Automation Preferences by Traffic Climate and Driver Skills in Two Samples From Countries with Different Levels of Traffic Safety

Öztürk

Warner

Özkan

2022

Transportation Research Record: Journal of the Transportation R

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Automated systems present great capabilities with a wide range of options. In this respect, vehicle preferences and factors affecting these preferences are important for the future of automated systems. While automated systems offer varied features and improvements for drivers and general traffic safety, the relationship between drivers’ perceptions of traffic systems and driver skills have not been studied. The present study, therefore, focuses on country differences and the relationships between traffic climate and driver skills and their impact on the preferred level of vehicle automation for drivers in Turkey and Sweden. The study was conducted with 318 drivers (age: mean [M] = 22.41, standard deviation [SD] = 2.77) from Turkey and 312 drivers (age: M = 28.80, SD = 8.53) from Sweden in 2020. A questionnaire package asking for demographic information and preferred levels of vehicle automation—Traffic Climate Scale (TCS) and the Driver Skill Inventory (DSI)—was completed. A series of analyses of covariance (ANCOVA), hierarchical regression, and moderated moderation analyses were conducted. Drivers from Turkey preferred higher automation levels than drivers from Sweden. Drivers with higher perceived safety skills, with lower perceived perceptual-motor skills or perceiving the traffic system as more externally demanding preferred higher automation levels. Drivers’ automation preferences were affected by various individual and country-level factors. For the first time, drivers’ automation preferences were elaborated in relation to traffic climate and driver skills in two countries with different levels of traffic safety. Theoretical and practical implications of the findings are discussed in the light of the literature.

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Multidimensional Traffic Locus of Control Scale

Cited by 2 publications

References 0 publications

Exploring the relationship between traffic resilience and driver behaviors through traffic climate

Exploring the relationship between traffic resilience and driver behaviors through traffic climate

Automation Preferences by Traffic Climate and Driver Skills in Two Samples From Countries with Different Levels of Traffic Safety

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