Work

Indicator Development and Evaluation of Storm and Flood Resilience Using Big Data Analysis: (1) Development of Resilience Indicators

Year: 2018

Type: article

Abstract: In this study, we developed indicators for evaluation of storm and flood resilience using big data analysis.Standard terms were selected to collect data necessary for development of indicators and unstructured data such as papers and reports were collected.Preprocessing such as duplicate document processing, specialized dictionary registration, and stop word removal was performed on the collected data.Classification criteria were selected and indicators of the previous studies were reclassified by the classification criteria.Representative keywords were selected by each classified indicators and the related search words for each representative keywords were extracted by analysis of related search words.The extracted search terms were applied to the collected unstructured data, and 83 resilience indicators were developed by selecting detailed indicators and proxy variables in accordance with the selection criteria.The developed storm and flood resilience indicators can be used as a basic data of evaluation of storm and flood resilience for effective disaster management.

Source: Korean Society of Hazard Mitigation

DOI: 10.9798/kosham.2018.18.4.97

Authors: Yonsoo Kim, Changhyun Choi, Younghye Bae, Donghyun Kim, Deokhwan Kim, Hung Soo Kim

Institution: Inha University

Language: English

Topic: Disaster Management and Resilience

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

Funder: Ministry of Land, Infrastructure and Transport