Study Travel Safety Resilience Assessment Based on Entropy Weight-Normal Cloud Model

Abstract: Study travel has dual positive effects of education and tourism, and safety is the most concerning issue. In order to determine the resilience of study travel safety and carry out resilience construction in a targeted way, this paper constructs an evaluation index system of study travel safety resilience from four dimensions—that is, economy, society, infrastructure and ecological environment—combining factors such as earthquake prevention and disaster reduction, emergency recovery and learning improvement. It constructs a safety resilience evaluation model, using the entropy weight method and normal cloud model for data processing, and taking Dujiangyan City as an example to verify the effectiveness of the model. The results show that the comprehensive resilience level of study travel safety in Dujiangyan City is relatively high: its ecological and environmental security is at a high level of resilience, its economic and social security is also at a high level of resilience, and its infrastructure security is at a medium level of resilience. This study shows that the ecological environment system plays an important role in the security of research travel, but it is also necessary to strengthen the construction of infrastructure to enhance the diversity and safety of facilities.