(128d) Multi-Objective Transportation Route Optimization for Hazardous Materials Based on GIS

Road transportation of LNG is an important public safety issue. Improper operations on LNG transportation could pose serious health risks to humans and many other living organisms, huge economic losses to industries, as well as dangerous pollutions to local environment. In addition, many unexpected and uncontrollable factors could escalate disasters induced by LNG accidents. How to effectively plan and reduce the impact caused by hazmat transportation accidents has become a major issue that scholars pay close attention to today. Therefore, it is necessary and essential for us to study on hazardous chemicals transportation route optimization. It is worth noting that comprehensive factors should be considered when routing for hazmat transportation in order to satisfy all parties’ concerns. In our study, we presented a constrained multi-objective optimization model to solve this problem. Compared to the bi-level programming model, the constrained multi-objective optimization model is able to separate risk and cost, and consider additional impact factors. We used the map provided in Geographical information systems (GIS) as a basis, and use its data, such as the population density, the distance of the motorways, the location of buildings, to prove that our model is worked. We use a motorway network in Jiangsu province as a case study, which has high reliability and reference value to show the results of the framework developed.