Determination of effective management strategies for scenic area emergencies using association rule mining

Abstract

Abstract Appropriately handling unexpected events during the construction, development, and operation stages of scenic areas and ensuring the personal and property safety of tourists are the primary problems faced by scenic managers. An important feature of scenic area emergencies is that they are prone to evolve into various secondary and derivative disasters, affected by natural and social uncertainties. Although different types of scenic area emergencies are unique, they all experience the process of occurrence, development and evolution of events, and the corresponding emergency activities have similarities. In the course of emergency management, if we can grasp the common law and select the appropriate coping strategies, it will be conducive to deal with the emergency in a scientific way. This paper firstly collected the typical emergencies in all kinds of scenic areas all over the world, classified the event scenarios, and summed up the evolution mechanism and coping strategies in different stages. Then the association rule mining was used to explore the strong association rules between the emergency mechanism and coping strategies. Finally, it is concluded that most scenic area emergencies have complex strong association rules, and the mechanism of occurrence coupling and transmission spreading is the most common. For this reason, the resistance strategy, isolation strategy, and superimposition strategy of reform and domination are the best strategies to deal with scenic area emergencies.