交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
Journal of Transportation Systems Engineering and Information Technology
2015年
5期
150-156
,共7页
公路运输%关联网络%复杂网络%危险品运输%级联失效
公路運輸%關聯網絡%複雜網絡%危險品運輸%級聯失效
공로운수%관련망락%복잡망락%위험품운수%급련실효
highway transportation%interdependent networks%complex network%hazardous materials transportation%cascading failure
为研究危险品运输关联网络级联失效机理及耦合特性,在提出一个包含物理网络、服务网络和关联边的危险品运输关联网络模型的基础上,通过构建危险品运输关联网络级联失效模型,利用基于节点度的级联失效平均规模作为网络抗毁性评估测度,基于此对比研究了危险品运输网络关联网络级联失效机理及耦合特性.仿真结果表明:危险品运输物理网络和服务网络间关联边的"传导"特性并不相同,相同失效节点数目下,物理网络的级联失效节点数总大于服务网络,通过改变网络模型参数可提升关联网络抗毁性,且提升服务网络的参数比提升物理网络见效更快.上述结论对危险品运输关联网络的风险识别和应急管理具有一定的理论指导意义.
為研究危險品運輸關聯網絡級聯失效機理及耦閤特性,在提齣一箇包含物理網絡、服務網絡和關聯邊的危險品運輸關聯網絡模型的基礎上,通過構建危險品運輸關聯網絡級聯失效模型,利用基于節點度的級聯失效平均規模作為網絡抗燬性評估測度,基于此對比研究瞭危險品運輸網絡關聯網絡級聯失效機理及耦閤特性.倣真結果錶明:危險品運輸物理網絡和服務網絡間關聯邊的"傳導"特性併不相同,相同失效節點數目下,物理網絡的級聯失效節點數總大于服務網絡,通過改變網絡模型參數可提升關聯網絡抗燬性,且提升服務網絡的參數比提升物理網絡見效更快.上述結論對危險品運輸關聯網絡的風險識彆和應急管理具有一定的理論指導意義.
위연구위험품운수관련망락급련실효궤리급우합특성,재제출일개포함물리망락、복무망락화관련변적위험품운수관련망락모형적기출상,통과구건위험품운수관련망락급련실효모형,이용기우절점도적급련실효평균규모작위망락항훼성평고측도,기우차대비연구료위험품운수망락관련망락급련실효궤리급우합특성.방진결과표명:위험품운수물리망락화복무망락간관련변적"전도"특성병불상동,상동실효절점수목하,물리망락적급련실효절점수총대우복무망락,통과개변망락모형삼수가제승관련망락항훼성,차제승복무망락적삼수비제승물리망락견효경쾌.상술결론대위험품운수관련망락적풍험식별화응급관리구유일정적이론지도의의.
To comparative study the cascading failure mechanism and coupling properties for interdependent networks of hazardous materials transportation, the model is proposed for interdependent networks of hazardous materials transportation which including physical network, service network and correlative-chain, the cascading failure model is also established. Regarding the average size of network cascading failure based on node degree as the measure of invulnerability. Simulation results show that, in the same number of failure nodes, the conductivity between physical network and service network is different, and the number of failure nodes for physical network is bigger than the service network' s;the interdependent networks invulnerability can be improved by changing the network model parameters, and enhancing the network model parameters of service network is much more effective than physical network' s, etc. These results can provide theoretical support for risk identification and emergency management of interdependent networks of hazardous materials transportation.