Research On Investment Strategy Of Subway Station Rainstorm And Waterlogging Emergency Response Based On SD

With the acceleration of global warming and urbanization,large and mediumsized cities in China are vigorously building subways to ease traffic pressure.Subway station projects are below ground level,making them more vulnerable to rainstorms and waterlogging,posing a huge threat to public safety.In the current engineering practice,managers often have a fluke mentality about disasters,and the rescue work for rainstorm and waterlogging disasters is only carried out based on simple observations and personal experience,which is ineffective.Plan emergency response investment reasonably,and carry out them quickly and efficiently,which are an inevitable requirement to avoid the expansion of disaster losses,and also a key link to improve the overall emergency rescue capability.Based on the Software-Hardware-Environment-Liveware(SHEL)system model,this paper takes rescuers as the core,identifies the indirect influencing factors of response input,as the same time,the literature research method is used to identify the direct influencing factors of response input,then combined with System Dynamics(SD)to study the interaction among response input,rescue team efficiency and response efficiency,analyze the impact of response input on response efficiency under different allocation ratios.The specific work and conclusions are as follows:First of all,this paper discusses the current research status in China and abroad such as emergency rescue,input strategy and System Dynamics,and analyzes the limitations of the current research results: the research on emergency management mainly focuses on large-scale areas and the whole process of emergency management.Research on emergency response activities ignores the centrality of rescuers.Then,the emergency management theory and System Dynamics theory related to this paper are summarized,and the necessity of emergency response research to the rainstorm waterlogging in subway stations is theoretically discussed.Then,this paper adopts the idea of SHEL system model,divides the response input into four interfaces of Software,Hardware,Environment and Liveware,summarizes and sorts out the mutual feedback relationship between each interface and other interfaces,and analyzes the efficiency of each interface to the rescue team.The influence of the system and the feedback path to improve the response efficiency by increasing the response input,and based on the System Dynamics software Vensim PLE version,the SD model of the emergency response input of the subway station rainstorm and waterlogging is constructed.Run the System Dynamics model for simulation,simulate the evolution trend of each variable in the system under 5 different distribution ratios of response input,analyze the relationship between them and the influencing factors of response efficiency,select the best to obtain the optimal plan for response input,and make an analysis of the optimal response input.The scheme is simulated,and it is proved that under the input allocation ratio of the optimal scheme,the response efficiency can be rapidly improved with a lower response input level.Finally,taking Metro Line 11 as an example,this paper conducts an empirical analysis using the constructed SD model for emergency response to rainstorm and waterlogging in subway stations,which verifies the validity of the model.The research results show that: the SD model of emergency response investment in subway station rainstorm waterlogging constructed in this paper can improve the emergency rescue management department’s understanding of the subway station rainstorm waterlogging response investment;the response input has a marginal effect,and it is not necessary to carry out the response after the response efficiency reaches the established standard.The key to effectively improving the efficiency of the rescue team is to focus on the rapid entry of rescuers in the early stage,start rescue work in a timely manner,and pay attention to the efficiency of information transmission between rescuers.In the later stage,focus on improving the coordination between liveware and hardware.