基于多部门协同的城市轨道交通应急处置组织结构
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摘要
面向城市轨道交通网络化运营条件下安全、高效的应急处置业务需求,引入多部门协同方法对城市轨道交通应急处置组织结构进行优化重组。以深圳地铁为例,构建四层十级多部门协同体系,并基于统一建模语言(UML),对优化后的城市轨道交通应急处置组织结构进行描述。该应急处置结构有助于实现应急指挥过程中各部门的多点联动及协同处置,提高运营管理部门对突发事件的应对能力、响应速度及处置效率,达到节约处置时间、保障城市轨道交通安全有序运营的目的。
In order to meet the business requirements of safe and efficient emergency disposal under the network operation conditions of urban rail transit, a multisectoral synergy is introduced to reorganize and optimize the organizational structure of rail transit. emergency disposal. With Shenzhen metro as the background, a four-layer and ten-level multisectoral synergy system for emergency disposal is constructed, the optimized organizational model of emergency disposal is described based on unified modeling language(UML). This structure of emergency disposal helps to realize multipoint linkage and collaborative disposal of relevant departments in the emergency commanding process, enhances the emergency response ability, response speed and disposal efficiency of operational management departments, so as to save the disposal time and improve the overall disposal efficiency.
In order to meet the business requirements of safe and efficient emergency disposal under the network operation conditions of urban rail transit, a multisectoral synergy is introduced to reorganize and optimize the organizational structure of rail transit. emergency disposal. With Shenzhen metro as the background, a four-layer and ten-level multisectoral synergy system for emergency disposal is constructed, the optimized organizational model of emergency disposal is described based on unified modeling language(UML). This structure of emergency disposal helps to realize multipoint linkage and collaborative disposal of relevant departments in the emergency commanding process, enhances the emergency response ability, response speed and disposal efficiency of operational management departments, so as to save the disposal time and improve the overall disposal efficiency.
引文
[1] 赵娟. 我国城市轨道交通突发事件分析及对策[J]. 价值工程, 2016, 35(30): 193.
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[5] 董皓, 付义龙, 黄启翔, 等.基于本体的城市轨道交通应急预案表示方法[J]. 都市快轨交通,2015, 28(2): 70.
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[7] MIDDELKOOP D, BOUWMAN M. Simone: Large scale train network simulations[C]// Simulation Conference, 2001. Proceedings of the Winter. New York: IEEE, 2001(2):1042.
[8] KOUTSOPOULOS H N, WANG Z. Simulation of Urban Rail Operations: Models and Applications[C]// World Conference on Transport Research. Berkele:WTCRS, 2007.
[9] WAHLBORG M. Banverket capacity consumption, congested infrastructure and traffic simulation with Railsys[C]// The 11th International Conference on Computer System Design and Operation in the Railway and Other Transit Systems. Toledo,Spain:COMPRAIL,2008:85.
[10] SCHADER M, KORTHAUS D W I A. The Unified Modeling Language[J]. Performance Computing/unix Review, 2002, 14(13):41.
[2] 杨图南. 城市轨道交通突发事件公交应急联动策略[J]. 工程技术(全文版), 2017(1): 154.
[3] 韩泉叶, 王晓明, 党建武. 城市轨道交通线网突发应急事件分类分级模型研究[J]. 城市轨道交通研究, 2011(10): 37.
[4] 贺国旗, 张彧锋, 韩泉叶. 基于本体的城市轨道交通线网应急预案形式化描述与匹配[J]. 城市轨道交通研究, 2015(8): 62.
[5] 董皓, 付义龙, 黄启翔, 等.基于本体的城市轨道交通应急预案表示方法[J]. 都市快轨交通,2015, 28(2): 70.
[6] NASH A, HUERLIMANN D. Railroad simulation using OpenTrack[J]. Publication of Wit Press, 2004(1):45.
[7] MIDDELKOOP D, BOUWMAN M. Simone: Large scale train network simulations[C]// Simulation Conference, 2001. Proceedings of the Winter. New York: IEEE, 2001(2):1042.
[8] KOUTSOPOULOS H N, WANG Z. Simulation of Urban Rail Operations: Models and Applications[C]// World Conference on Transport Research. Berkele:WTCRS, 2007.
[9] WAHLBORG M. Banverket capacity consumption, congested infrastructure and traffic simulation with Railsys[C]// The 11th International Conference on Computer System Design and Operation in the Railway and Other Transit Systems. Toledo,Spain:COMPRAIL,2008:85.
[10] SCHADER M, KORTHAUS D W I A. The Unified Modeling Language[J]. Performance Computing/unix Review, 2002, 14(13):41.