High-speed Rail Station Based On Major Public Health Emergencies Research On Emergency Design Of Public

Public health emergencies such as the "new crown epidemic" have a painful impact on public health,life safety and social economy.As an important transportation hub of the city and a public place with dense people and frequent flow,how to make corresponding optimization design in the face of public health emergencies to reduce the probability of disease infection,perhaps the reflection and enlightenment brought by the three-year-long "epidemic" will be our precious wealth.The author redefines the classification of the public space of high-speed rail stations according to the functions and uses of public space under public health emergencies,as well as the problems or shortcomings exposed,and uses Anylogic simulation software to deeply explore how to improve the emergency response capacity of public space of high-speed rail stations.Firstly,this thesis analyzes and summarizes the development process of high-speed railway stations at home and abroad starting from the relevant landmarks of high-speed railway stations,clarifies the research scope,systematically sorts out their planning layout,functional space and streamline organization,defines the content of emergency optimization design,and re-examines the existing problems of high-speed rail stations based on relevant basic theories and guidelines,and puts forward new needs for the development of high-speed railway stations in the post-epidemic era.Secondly,a risk identification system for high-speed rail stations based on major public health emergencies is established,and high-speed rail stations are re-divided into three categories: space-led,behavior-balanced,and behavior-oriented.Taking "Gu’an East Railway Station","Handan East Railway Station" and "Taiyuan South Railway Station" as typical cases for detailed investigation,mainly including basic situation,node status,streamline organization and passenger flow characteristics,etc.,in addition,questionnaires were issued to investigate and analyze passenger behavior and cognition.Then,this thesis selects Anylogic simulation software based on social force model as the core algorithm,builds a physical model,establishes the passenger behavior process,introduces a multi-agent infection model,sets system simulation parameters to simulate the real scene,runs the program to obtain the simulation density map,spatial risk level and estimated number of infected people of three typical examples,and analyzes the risk characteristic points in detail according to the simulation results.Finally,combined with the qualitative analysis results obtained from the survey and the quantitative analysis results obtained by simulation,this thesis proposes an optimization strategy for the emergency design of public space of high-speed railway stations from the aspects of functional space layout and traffic flow organization,and applies it to three typical cases.This is followed by a simulation analysis with the help of Any Logic software to verify the effectiveness of the strategy.The optimized results show that the number of high-risk areas has decreased,the estimated number of infected people has decreased,and the ideal emergency effect of epidemic prevention has basically been achieved.This thesis finally solves the two scientific problems of reclassification of high-speed rail stations under major public health emergencies and enriching the emergency strategy library of high-speed rail stations in public space.