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Disaster Resilience of Korean Cities Using Data Envelopment Analysis

Datos Bibliográficos

ID21738426
AutoresNa-Yoon Kim (Ulsan National Institute of Science and Technology, autor de correspondencia), Ji-Bum Chung (0000-0003-2388-9917, Ulsan National Institute of Science and Technology)
Año2024
Volumen25
Número2
Fecha de publicación2024-05-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaNatural Hazards Review (JOURNAL)
Identificadores de la revistaISSN: 1527-6988 • E-ISSN: 1527-6996
EditorialAmerican Society of Civil Engineers (ASCE) (PUBLISHER • US)
DOI10.1061/nhrefo.nheng-1906
OpenAlexW4391001921
IdiomaEN
Citas recibidas4
Referencias citadas49

This study sought to assess disaster resilience in Korean metropolitan cities and explore the factors influencing disaster management in these cities. Statistical data from 17 metropolitan cities and provinces in Korea spanning the years 2016 to 2020 were collected. Data envelopment analysis (DEA), a method for estimating relative efficiency using multiple input and output variables, was employed to calculate the disaster resilience scores of these cities. The results indicate higher level of disaster resilience in capital regions and large cities in Korea, with social and economic characteristics significantly influencing resilience. Moreover, the study reveals that robust infrastructure, particularly in terms of housing, strongly impacts resilience scores. The use of DEA allows for the practical evaluation of relative resilience scores without requiring weighted value calculations, making it an effective methodology for assessing city resilience

Business · Community resilience · Data envelopment analysis · Economic growth · Economics · Emergency management · Geography · Metropolitan area · Natural disaster · Political science · Psychological resilience · Regional science · Social capital · Statistics · Computer Science · Disaster Management and Resilience · Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis · Psychology

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Obras citantes distintas4
Citas por año4
Intervalo de citas2025 - 2026 (2)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 4
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