TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, cilt.116, 2026 (SSCI, Scopus)
Technology has become important in solving the problem of speeding. One technological advancement aimed at overcoming the speeding problem is the Intelligent Speed Adaptation (ISA) system. Although the ISA systems enhance traffic safety, the standard role of drivers in driving is challenged by these systems. Therefore, driver acceptance of such systems is essential for their implementation, which may be dependent on the country's driving climate and other characteristics, such as road fatality rates and gross national income. The current study therefore examines the utility of an integrative model of the Theory of Planned Behavior (TPB) and the Prototype Willingness Model (PWM), which are two popular decision-making frameworks, comparing participants from two different countries which may differ in their driving climate and which is important to the external validity of the results. This study is the first to test this model in two countries. A total of 334 drivers from T & uuml;rkiye and 359 drivers from Israel completed a questionnaire by way of an online link. The results show that the integrative model explains the highest variance in preference for using the informative type of the ISA in both countries. In addition, the model explains a higher variance in preference for using the informative and intervening types of the ISA in Israel and the supportive type of the ISA in T & uuml;rkiye. Although the integrative model differed between the two countries, intention was the strongest predictor of preference in using all types of the ISA. However, as control of the system increases, the socialreactive path becomes more prominent in T & uuml;rkiye, whereas the reasoned path becomes significant in Israel. Finally, attitude is an additional important predictor of preference in Israel, whereas prototype perceptions are more prominent in T & uuml;rkiye. The results and the implications are discussed in light of the literature.