Predicting Mobile Phone Usage While Driving: a Two Staged Partial Least Squares and Ann Approach

Abstract

Despite the numerous advantages of mobile phones, they are a major source of distractionfor drivers, making them a global worry.When using a smartphone while driving, whether hands-free or portable, the risk of an accident increases fourfold, whilst alsotexting while driving increases the risk by 23 times.The current study looked at thepsychological aspects that are linked to using a hand-held mobile phone while driving, specifically writing or reading a text message, among a group of Bangladeshi bikeriders.In This examine was included drivers' behavioral, normative, and control attitudes about Mobile phone use while driving Is tested. As well as the extent to which utilizingamobile phone is a part of one's daily existence_ Mobile phone Involvement ,PBC(Perceived Behavioural Control,),Social Interactive Technologies ,Navigation and roadmusic addiction was also Included.Basis of this data sample 34.2 %people read a text and 31.1% people send a text daily while they driving.And make a phone call andanswer a phone call 28.6% and 37.3 % people. A survey questionnaire was usedtocollect data in this study.To analyze the gathered data, we used SPSS and SmartPLS3.Also we used ANN(Artificial Neural Network) to find out most important variableamong this factors.This study incorporates theoretical as well as practical contributions.The results supported all of the hypothesized relationships except oneamong individual factors of mobile phone use while driving.Our proposed model is testedvalidated and added to a growing body of information concerning the factors impact mobile phone use while driving.