[1]CHEN Yiqin,HUANG Shuping.Seismic Resilience Evaluation of the Traffic System Based on the Dynamic Bayesian Network[J].Journal of Seismological Research,2023,46(02):280-290.[doi:10.20015/j.cnki.ISSN1000-0666.2023.0016
]
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Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
46
Number of periods:
2023 02
Page number:
280-290
Column:
Public date:
2023-03-10
- Title:
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Seismic Resilience Evaluation of the Traffic System Based on the Dynamic Bayesian Network
- Author(s):
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CHEN Yiqin; HUANG Shuping
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(School of Naval Architecture,Ocean & Civil Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
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- Keywords:
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the traffic system; seismic resilience; connectivity; the Dynamic Bayesian Network; Qingdao City
- CLC:
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U491; P315.9
- DOI:
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10.20015/j.cnki.ISSN1000-0666.2023.0016
- Abstract:
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To construct the resilience evaluation model,the time-varying connectivity curve of the traffic system hit by an earthquake event is taken as the basis for the quantitative evaluation of its seismic resilience.The Dynamic Bayesian Network(DBN)is used to characterize the connectivity logic of the seismic function of road traffic system and the change trend of link connectivity with time.Based on the probability of each variable and conditional probability tables in the network,the connectivity of the system at different times is output and the connectivity curve is drawn.Taking the local urban road network in Qingdao City as an example,the whole process evaluation of the seismic resilience of the road traffic system is realized.The results show that the resilience index proposed in this paper can comprehensively describe the whole process of system's connectivity degradation and recovery after an earthquake.The constructed DBN can intuitively characterize the connection logic and change of seismic function of the system.The whole process resilience evaluation results can provide reference for the formulation of earthquake preparedness and post-earthquake recovery strategies.