Dynamic emergency route planning for major chemical accidents: Models and application

Combining scenario construction with the characteristics of individual emergencybehavior is necessary for the emergency route planning of major chemical accidents. Weinvestigated this challenging decision problem and constructed a multi-indicator emergencyrisk assessment method that considers the evacuation speed of different population types andhealth consequences caused by various risk components. We also designed a modified Dijkstraalgorithm to solve this dynamic multi-objective route planning problem. The comparativeexperiment results demonstrated that the proposed algorithm performs relatively better thanthe traditional Dijkstra algorithm. Finally, we performed extensive case studies where oursimulation results demonstrate that the proposed model provides reliable and practicalemergency route planning services for various personnel types under different accidentscenarios. Compared with the commonly used single-dimensional assessment method, thiscomprehensive and informative assessment of the emergency risks faced by the population indifferent regions could serve as a useful reference for the formulation and implementation ofemergency plans in case of major chemical accidents.