Unforeseen events can interrupt the operational process and have a negative impact on the chemical supply chain transportation (CSCT) system. A number of research studies have addressed the risk management issues in chemical supply chain (CSC) or CSCT. However, most of the existing methodologies lack inbuilt and practical techniques that take into consideration the complex interactions and dynamic feedback effects, which can significantly affect the reliability of risk management outcomes. This paper suggests a novel modelling and simulation method to address the dynamic risks effects in the CSCT, especially the consideration of time-dependent system behaviour in different operational conditions. Furthermore, the flexibility of the model modification is adapted to enhance the practice in risk mitigation. A transparent decision support tool is provided to compare the outcomes of different risk mitigation processes, which offers decision makers an alternative CSCRM mitigation package. (C) 2016 Elsevier Ltd. All rights reserved.