Data for: Determination of the Effective Emergency Strategy for Scenic Area Emergencies Using the Association Rules Mining

Published: 24 Jun 2019 | Version 1 | DOI: 10.17632/6pc4x652c8.1
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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:

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

Published in: International Journal of Disaster Risk Reduction

Latest version

  • Version 1

    2019-06-24

    Published: 2019-06-24

    DOI: 10.17632/6pc4x652c8.1

    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

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Categories

Data Mining, Emergency Management, Accident Case

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

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You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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