[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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Seismic Resilience Evaluation of the Traffic System Based on the Dynamic Bayesian Network
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:
2023-06-01
- Title:
- Seismic Resilience Evaluation of the Traffic System Based on the Dynamic Bayesian Network
- Keywords:
- the traffic system; seismic resilience; connectivity; the Dynamic Bayesian Network; Qingdao City
- CLC:
- U491; P315.9
- DOI:
- 10.20015/j.cnki.ISSN1000-0666.2023.0016
- Abstract:
- 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.
- References:
-
方东平,李全旺,李楠,等.2020.社区地震安全韧性评估系统及应用示范[J].工程力学,37(10):28-44.
吕彪,高自强,刘一骝.2020.道路交通系统韧性及路段重要度评估[J].交通运输系统工程与信息,20(2):114-121.
宣功奉,林均岐,刘金龙.2022.交通网络震后整体功能失效评估方法[J].地震研究,45(3):362-369.
张洁.2013.城市应急道路网络构成及抗震可靠性研究[D].青岛:中国海洋大学.
Al-Deek H,Emam E B.2006.New methodology for estimating reliability in transportation networks with degraded link capacities[J].Journal of Intelligent Transportation Systems,10(3):117-129.
Cai B P,Zhang Y P,Yuan X B, et al.2020.A dynamic-bayesian-networks-based resilience assessment approach of structure systems:subsea oil and gas pipelines as a case study[J].China Ocean Eng,34(5):597-607.
Chen A,Yang H,Lo H K, et al.1999.A capacity related reliability for transportation networks[J].Journal of Advanced Transportation,33(2):183-200.
Henry D,Ramirez-Marquez J E.2012.Generic metrics and quantitative approaches for system resilience as a function of time[J].Reliability Engineering & System Safety,99:114-122.
Jenelius E,Mattsson L G.2015.Road network vulnerability analysis:conceptualization,implementation and application[J].Computers,Environment & Urban Systems,49:136-147.
Johansen C,Tien I.2018.Probabilistic multi-scale modeling of interdependencies between critical infrastructure systems for resilience[J].Sustainable & Resilient Infrastructure,3(1):1-15.
Kameshwar S,Cox D T,Barbosa A R, et al.2019.Probabilistic decision-support framework for community resilience:Incorporating multi-hazards,infrastructure interdependencies,and resilience goals in a Bayesian network[J].Reliability Engineering & System Safety,191:106568.1-106568.21.
Kammouh O,Gardoni P,Cimellaro G P.2020.Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks[J].Reliability Engineering & System Safety,198:106813.
Katja B.2002.An introduction to road vulnerability what has been done,is done and should be done[J].Transport Policy,9(2):117-127.
Kim K,John R,Brian W.2019.Minding the gap:New section in transportation research,Part D to focus on disasters and resilience[J].Transportation Research Part D Transport and Environment,77:335-336.
Li J,Zhou Y.2020.Optimizing risk mitigation investment strategies for improving post-earthquake road network resilience[J].International Journal of Transportation Science and Technology,9(4):277-286.
Liu Z Z,Chen H,Liu E Z, et al.2022a.Exploring the resilience assessment framework of urban road network for sustainable cities[J].Physica A:Statistical Mechanics and its Applications,586:126465.
Liu Z Z,Chen H,Liu E Z.2022b.Evaluating the dynamic resilience of the multi-mode public transit network for sustainable transport[J].Journal of Cleaner Production,348:131350.
Michael A P T.2013.Travel through time:the story of research on travel time reliability[J].Transportmetrica B:Transport Dynamics,1(3):174-194.
Mihunov V V,Lam N S N.2020.Modeling the dynamics of drought resilience in South-Central United States using a Bayesian Network[J].Applied Geography,120(5):102224.
Qi T,Ming Y,Altyngul Z.2020.A dynamic bayesian network-based approach to resilience assessment of engineered systems[J].Journal of Loss Prevention in the Process Industries,65:104152.
Sakakibara H,Kajitani Y,Okada N.2004.Road network robustness for avoiding functional isolation in disasters[J].Journal of Transportation Engineering,130(5):560-567.
Tang J Q,Heinimann H R,Han K.2019.A Bayesian Network Approach for Assessing the General Resilience of Road Transportation Systems:A Systems Perspective[C].Nanjing,China:19th COTA International Conference of Transportation Professionals.
Tang J Q,Heinimann H,Han K, et al.2020.Evaluating resilience in urban transportation systems for sustainability:A systems-based Bayesian network model[J].Transportation Research Part C Emerging Technologies,121:102840.
Wu Y Y,Hou G Y,Chen S R.2021.Post-earthquake resilience assessment and long-term restoration prioritization of transportation network[J].Reliability Engineering & System Safety,211(9):107612.
Zhang P,Cheng B S,Zhao Z, et al.2013.The robustness of interdependent transportation networks under targeted attack[J].EPL(Europhysics Letters),103(6):68005.
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Last Update:
2023-03-10