Abstract：Abstract：Research purposes： With the rapid urbanization in China and the growing urban population, urban transportation is facing tremendous pressure and challenges. Subway construction can directly and effectively ease urban traffic problems, change the ground-based plane transportation pattern, and build three-dimensional transportation system by integrating both ground and underground transportation. However, the construction environment of subway construction is extremely complex. With the large-scale construction of the subways, accidents often occur during subway construction. Those accidents pose serious threats to people's lives and safety, and can cause tremendous waste of state property. Thus it is particularly important to effectively control the occurrence of subway construction accidents and improve contingency plans for subway construction management. This paper attempts to use quantitative and qualitative methods, such as virtual technology, significant theory, statistical analysis, ABC analysis, Hain rules and so on, to study contingency plan management methods for 02 Civil Works Tenders of Beijing Subway Line Six, and combine virtual dynamic control technology to form a three-dimensional subway visualization model. In-depth study is conducted concerning the contingency plans for subway construction virtual dynamic control technology.
Research conclusions：(1) Virtual technology can be used to optimize the construction scheme in terms of multi-objective and multi-scheme, significance theory and ABC analysis also can be used to find the optimal solution to control the key processes. (2) Hain rules, statistics, PDCA cycle and other contingency plan dynamic optimization management methods are all adopted, which can effectively enhance the efficiency and level of subway construction contingency plan control. (3) The results of this study can be widely applied in the field of complex contingency plans for the control of construction projects, and the research has theoretical and practical value for construction enterprises to improve the level of emergency treatment.
张新宁1 段晓晨1 杜程琳1 张增强1 刘 娜2. 地铁建设应急预案虚拟动态控制技术研究[J]. 铁道工程学报, 2015, 32(5): 65-.
ZHANG Xin-ning1, DUAN Xiao-chen1, DU Cheng-lin1, ZHANG Zeng-qiang1, LIU Na2. Research on the Virtual Dynamic Controlling Methods about the Contingency Pre-arranged Planning of the Subway Construction. 铁道工程学报, 2015, 32(5): 65-.
［1］段晓晨,马变晓,王兆雨,等. 高铁路域区域生态本底评价方法研究［J］.铁道工程学报，2015(1):7-11.
Duan Xiaochen,Ma Bianxiao,Wang Zhaoyu,etc. Research on the Primitive Ecological Conditions Evaluation Method of High－speed Railway Region［J］. Journal of Railway Engineering Society,2015(1):7-11.
［2］刘丹. 城市轨道交通工程造价控制分析［J］. 铁道工程学报,2014(6):104-108.
Liu Dan. Analysis of Cost Control of Urban Rail Transportation Construction［J］. Journal of Railway Engineering Society,2014(6):104-108.
［3］ESKESEN S D, TENGBORG P, KAMPANN J. etc. Guidelines for Tunneling Risk Management: International Tunnelling Association,Working Group No.2［J］. Tunnelling and Underground Space Technology, 2004(3):217-237.
［4］JENKINSL. Selecting Scenarios for Environmental Disaster Planning ［J］. European Journal of Operational Research, 2000(2):275-286.
［5］PATRA A K. Influence of Wind Speed Profile and Roughness Parameters on the Downwind Extension of Vulnerable Zones During Dispersion of Toxic Dense Gases［J］. Journal of Loss Prevention in the Process Industries,2006(19):495-497.
［6］ELBA U, BRIAN W. National Review of Hurricane Evacuation Plans and Policies: a Comparison and Contrast of State Practice［J］. Transportation Research Part A: Policy and Practice, 2003(37):257-275.
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