Betweenness Centrality-Based seismic risk management for bridge transportation networks
- Authors
- Chen, Mengdie; Mangalathu, Sujith; Jeon, Jong-Su
- Issue Date
- Aug-2023
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Betweenness centrality; Bridge network; Bridge ranking; Earthquake; Retrofitting; New construction
- Citation
- ENGINEERING STRUCTURES, v.289, pp.1 - 9
- Indexed
- SCIE
SCOPUS
- Journal Title
- ENGINEERING STRUCTURES
- Volume
- 289
- Start Page
- 1
- End Page
- 9
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/186356
- DOI
- 10.1016/j.engstruct.2023.116301
- ISSN
- 0141-0296
- Abstract
- Although bridges are integral parts of transportation networks, they are vulnerable to natural hazards. The damage incurred during these natural hazards events leads to network disruptions and hinders post-event recovery. Therefore, improving the seismic performance of transportation networks is critical. This paper proposes an origin–destination pair betweenness centrality (BC)-based methodology to rank bridges according to their importance in a complex bridge network. The proposed methodology is an easy-to-use approach that considers user equilibrium and topology and significantly shorten the computational time. In addition, this study proposes two strategies including the retrofit of bridges and construction of new bridges based on the BC importance of bridges to mitigate the seismic risk of bride networks. A well-studied bridge network in California was used to demonstrate the application and the effect of different strategies was compared in this study. Bridges located at the shortest path significantly affect the seismic performance of bridge networks, indicating there is no need to rehabilitate or replace all bridges under budget constraints. Also, constructing five new bridges based on BC importance improved seismic performance of the bridge network much more than retrofitting 21 bridges. Moreover, the proposed methodology presents a significant reduction in computational time (only 1/30 compared with an existing study) in resolving the importance of bridges in a network and can be applied to provide useful information for disaster management teams to mitigate the seismic risk of bridge networks.
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