Underreporting traffic accidents in Malaysia – a sentiment analysis

Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Malaysia

^* Corresponding author: zamira@ukm.edu.my

Abstract

The underreporting scenario is claimed to be the source of the extra zeros in traffic accident data. This leads to a latter problem in which the fitted statistical model may not be able to produce correct and reliable estimates. Understanding the root of problem as to what is the main cause of the underreporting scenario is essential to assist on the decision making process in traffic accident analysis. In this study, 200 Malaysian drivers were interviewed on their sentiments towards this issue. Their opinions on the causes of underreporting scenario are investigated then assessed using text analyses. First, the Latent Dirichlet Allocation text modelling is employed to find the underlying themes in the reasons of not reporting a traffic accident. Then, the polarity of the topics is measured using a lexicon based sentiment analysis. Results showed that majority Malaysian drivers (80.5%) consider that reporting a minor or non-fatality accident is not important and can be neglected. The decision is due to the fact that of complicated and time consuming reporting process. The drivers are also asked on their opinion after the consequences of underreporting are informed to them. The polarity of their answers shifted to more positive in which 71% drivers will report an accident that occur in the future.