Seismic Performance Management of Aging Road Facilities in Korea: Part 2 − Decision-making Support Technology and Its Application

This study aims to develop a decision-making support system for managing aged road facilities in a target road network based on seismic performance evaluation. For this purpose, the seismic fragility considering aging effect is analyzed for bridges, tunnels, retaining walls, and slopes to assess the...

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Bibliographic Details
Published in:KSCE journal of civil engineering 2024, 28(5), , pp.1889-1902
Main Authors: Kim, Dongjoo, Song, Junho, Lee, Young-Joo, Yoon, Sungsik, Yoon, Dong Keun, Lee, Yong Kang, Kwon, Youngjun, Lee, Dongkyu, Choi, Yeon-Woo
Format: Article
Language:English
Subjects:
Ageing
Aging
Bridges
Civil Engineering
Damage assessment
Decision making
Decision support systems
Earthquake damage
Economics
Engineering
Fragility
Geotechnical Engineering & Applied Earth Sciences
Industrial Pollution Prevention
Performance evaluation
Performance management
Resilience
Retaining walls
Risk assessment
Roads
Seismic activity
Seismic hazard
Seismic response
Social resilience
Socioeconomic aspects
Software
Structural Engineering
토목공학
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Summary:This study aims to develop a decision-making support system for managing aged road facilities in a target road network based on seismic performance evaluation. For this purpose, the seismic fragility considering aging effect is analyzed for bridges, tunnels, retaining walls, and slopes to assess the direct damage to individual road facilities, as described in the companion paper. In this paper, based on the seismic fragilities of road facilities, the degradation of the road network’s seismic performance and social and economic resilience is evaluated. The decision support system is then developed based on the seismic risk assessment method (SRA) for the seismic management of old road facilities suitable for domestic conditions. The SRA method includes the calculation of direct and indirect damage of road networks, the assessment of socio-economic resilience to disaster in South Korea, and the basis for decision-making. In addition, a geospatial information-based software for repair and reinforcement decisions is developed. The developed decision-making support software is verified by using Pohang city located in the East part of Korea as a test-bed example.
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-023-0601-3