Risk analysis of traffic congestion due to problem in heavy vehicles: a concept

Abstract

Abstract One of the most common problems on roads is traffic congestion caused by problems with heavy vehicles (e.g. trucks, trailers). The consequences of this problem often harm the wider community, both in material and non-material forms such as fuel waste and loss of time. Several previous studies have tried to look for factors that cause traffic congestion, but it has not been able to provide a complete understanding of the root causes and who are the stakeholders who must have an important role in solving this problem. This study aims to develop a research framework to get more better understanding about congestion caused by problems with heavy vehicles, which can be categorized as a type of non-recurrent congestion (NRC) that is dynamic and unpredictable. Risk management prioritizes a proactive approach before an event occurs, so the impact of risk can be minimized. Probability and Impact Matrix techniques are used to determine risk priority. Furthermore, to find the root causes of traffic congestion problems, the Fault Tree Analysis (FTA) method and Social Network Analysis (SNA) are considered to be quite potential to be used to describe complex patterns of relationships among stakeholders. The results of this study are expected to provide more complete information to understand the problem of congestion due to the problem of heavy vehicles, so that a more comprehensive solution can be formulated.