Analysis of Multi-Hazard Typologies and Characteristics Using Topic Modeling and Network Analysis
Year: 2024
Type: article
Abstract: Disasters have been increasing in scale and causing widespread damage, with a rising trend of multiple hazards occurring together and interacting. To manage multi-hazard risks effectively and enable proactive preparedness, it is essential to understand how such hazards occur and how much damage they cause. This study identifies the types of multi-hazards through topic modeling and network analysis, based on bibliographic information from international articles related to such hazards. We also compared the characteristics of each type of multi-hazard, focusing on their progression, subcomponents, entities affected by them, and strategies for managing them. This study utilized the bibliographic information of 1,837 articles, published in 556 international academic journals, and employed topic modeling and network analysis. The analysis results revealed that multi-hazards could be classified into seven types, based on the combination of their sub-components. Additionally, we identified differences between the types of multi-hazards.
Authors: Yeon-Woo Choi, Dong In Kim, Dong Keun Yoon
Institution: Yonsei University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
Award: G6922291932
OpenAlex ID: W4405877486