Cellphone use while driving – a behavioral economic perspective
MetadataShow full item record
From a behavioral economic perspective, texting while driving involves a trade-off between immediate and delayed outcomes. It is showed behaviorally as a preference for smaller immediate rewards over larger delayed rewards. A literature review constitutes the first part of this paper. The purpose is to examine to what extent previous research has studied and explained cellphone use, or more specifically texting while driving, utilizing a delay discounting procedure. The literature reviewed suggests several potential areas for future research. There seems to be a need for investigating the effect of the information received on the cellphone and how this affects the probabilities of cellphone use while driving. Besides, while distracted driving seems to be pervasive with young drivers, less research has focused on the frequency of these behaviors in other age groups (Pope et al., 2017). The second part of this paper is an empirical investigation of cellphone use while driving. With a framework especially inspired by Hayashi et al. (2016) and Ingersoll (2017), the decision-making process underlying both texting- and calling while driving within a behavioral economic perspective was examined. The results showed over 80% of the drivers had “initiated”, “read” or “replied to” a text message while driving during the past 30 days. Consistent with previous research, the likelihood of using the cellphone while driving increased as the time until destination increased. In addition, the participants tend to answer a call at a higher rate when driving alone rather than with passengers. A remarkable observation shows that drivers were over 50% more likely to answer a text message that said “Text me as soon as possible” rather than one with “Hi how are you”. Further investigation under more naturalistic conditions is needed to validate these results and to fully understand the variables underlying cellphone use while driving.
Master i læring i komplekse systemer