Data for: Determination of the Effective Emergency Strategy for Scenic Area Emergencies Using the Association Rules Mining
Description of this data
By collecting 36 years of accident investigation reports from 1983 to 2018 from news websites, emergency management department and tourism websites around the world, seventy-five typical emergency cases of scenic areas were screened.The criterion of case collection is directly or indirectly related to the security of scenic areas.The scenic areas involved are located in the United States, the United Kingdom, China, Thailand, Japan, Malaysia, Singapore and various other countries. They include 9 types of accidents: traffic accidents, amusement facilities accidents, cable car accidents, natural disasters, accidents involving collapses and trampling, fire accidents, accidents involving animals attacking humans, drowning accidents and social safety accidents.
Experiment data files
This data is associated with the following publication:
Cite this dataset
Chen, An; Wu, Bohong; Li, Jimei; Chen, Ning; SHI, Yu; Li, Hui (2019), “Data for: Determination of the Effective Emergency Strategy for Scenic Area Emergencies Using the Association Rules Mining”, Mendeley Data, v1 http://dx.doi.org/10.17632/6pc4x652c8.1