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In this chapter we interpret traffic safety culture (TSC) in terms of data on beliefs, attitudes, and behaviors from the fourth wave of the SARTRE study to find out whether they can be interpreted in a perspective. The SARTRE study is a European-wide survey that started in 1991 and collects information on mobility, risk perceptions, attitudes, behaviors, and experiences on the road (Cauzard, 1998, 2004; Cestac & Delhomme, 2012). The chapter focuses on the group of car drivers.

A principal component factor analysis was conducted to explore the underlying structure of the data set. Results suggest an underlying structure of five components which explain more than 55% of the variance. These dimensions were labeled (1) acceptance of technology and enforcement, (2) risk attitudes, (3) experienced and self-exerted behavioral control, (4) personal concern, (5) perception of other road users’ safety performance.

The influence of these five factors on safety performance (fatality rates) was estimated by regression analysis. Results show that only the second factor (risk attitudes) has a significant effect on fatality rates. As a consequence, expressive and instrumental attitudes about risk-taking should be addressed in driver training as well as information campaigns in order to improve safety culture at the level of individual car drivers.

The present chapter puts one perspective center stage and looks at the relationship between TSC and its manifestation in individuals. More specifically, we are concerned with the relationship between processes of attitude formation and attitude change. The concept of attitudes is one out of several psychological constructs which are known to have mediating influence on actual behavior. Thus, it is a possible starting point to positively influence behavior in road traffic toward higher levels of (commitment to) safety. Understanding how safety culture is internalized by individuals and how it shapes safe conduct shall be theoretically described and practically exemplified to show how this approach can become useful and relevant for practitioners in the field of road safety.

The argument is developed in three parts. In the first part, Herbert Kelman’s (1958) conceptual scheme of three stages of attitude change is presented in which the levels of compliance, identification, and internalization of values are distinguished. In the second part, it is argued that these different levels of value integration correspond with three different kinds of psychological theories which address the relationship between attitudes and deliberately conducted behavior (action). It is a well-known fact in the science of human action that there is no direct relationship between attitudes, decision making, and action. Using Kelman’s three levels of value internalization as a scheme of reference, the conditions under which persons act in line with their attitudes can be conceptualized more precisely. From a normative point of view, it is argued that persons who align their actions and attitudes with reference to socially appreciated values are said to be elaborated. They orient their conduct by an ethos of safety to which they feel committed and they are able to interact in mindful ways. We discuss some of the basic constructs at each level and underpin their importance with reference to behavioral change toward higher levels of safety with empirical findings that have been published. In a third part, we present our findings in a summarizing table and suggest a list of factors and themes which mainly correspond to one of the three stages of attitudinal change and value internalization. Finally, we outline some examples of how traffic safety interventions can be conceptualized at these different levels.

The purpose of this study was to explore human factors as the possible facilitator of cyber-dependent (hacking and malware infection) and cyber-enabled (phishing) crimes victimisation and to test the applicability of lifestyle routine activities theory (LRAT) to cybercrime victimisation.

A mixed methods research paradigm was applied to address the research questions and aims. The data set of Crime Survey of England and Wales (CSEW) 2014/2015 and 42 semi-structured interviews conducted with victims of cybercrime and non-victim control group participants were analysed via binary logistic regression and content analyses methods.

This research illustrated that Internet users facilitated their victimisation through their online activities. Additionally, using insecure Internet connections and public access computers emerged as risk factors for both cyber-enabled and cyber-dependent crime victimisation. Voluntary and involuntary personal information disclosure through social networking sites and online advertisement websites increased the likelihood of being a target of phishing. Deviant online activities such as free streaming or peer-to-peer sharing emerged to increase the risk of cyber-dependent crime victimisation.

The binary logistic regression analysis results suggested LRAT as a more suitable theoretical framework for cyber-dependent crime victimisation. Future research may test this result with models including more macro variables.

Policymakers may consider implementing regulations regarding limiting the type of information required to login to free Wi-Fi connections. Checking trust signs and green padlocks may be effective safeguarding measures to lessen the adverse impacts of impulsive buying.

This study empirically illustrated that, besides individual-level factors, macro-level factors such as electronic devices being utilised to access the Internet and data breaches of large companies also increased the likelihood of becoming the victim of cyber-enabled and cyber-dependent crime.