Selection Of Rail Stations And Evacuation Microsimulation For Leaving Audiences In Large Venues

With its large transportation capacity,high punctuality and high speed,urban rail transit has become the first choice for residents of large cities.A well-developed urban rail network can effectively meet the transportation needs of the city for daily commuting,school commuting and residents’ travel.With the improvement of the national economic level,large-scale activities focusing on sports events and concerts are held frequently in major cities,which has greatly enriched people’s spiritual life.However,there will be a large number of passenger flows gathered in a short time and small space before and after the event,which is easy to break the original normalized traffic supply-demand balance and threaten the safe operation of the transportation system around large sports venues.Although high-capacity rail transit can effectively serve the large passenger flow distribution of large-scale activities,rail stations,as the nodes for passengers to enter and leave urban rail transit,are prone to congestion during the departure period,which poses a great threat to the safe operation of urban rail transit.In view of this,the operation department often closes the rail stations during the exit period so that the high-capacity rail transit is difficult to play a role.Therefore,this paper takes a large sports venue and its surrounding affected stations as the research object.Based on the AFC data,the Logit station selection model and passenger flow distribution model are established from the spatial and temporal characteristics of audience distribution,which are used to predict the railroad entry volume of large venues in the design when the sharing rate is fixed,so as to provide input for micro simulation,and then evaluate the impact of connection facility layout,evacuation organization plan and commercial operation plan on evacuation from a dynamic perspective.Specifically,this study mainly completed the following aspects:Firstly,based on the AFC data,the affected stations around the venues are identified and their passenger flow distribution characteristics are analyzed.The results show a sharp increase in outbound traffic at the affected rail stations 4 hours before the start of the event and 1.25 hours after the end of the event compared to the background traffic.This paper determined the dispersal audience by OD backstepping and analyzed their OD distribution characteristics and it is determined that the selection of inbound stations is mainly affected by the external elements from the venue to the inbound station and the elements in the rail system from the inbound station to the outbound station.Secondly,the space l method is used to construct the network topology,and the classical path search algorithm is used to extract the elements in the track system considering the transfer time,on-board time,waiting time and so on;Combined with the external factors such as the walking time of the venues to the surrounding rail stations,the travel generalized cost function is constructed.Taking the inbound selection of OD backstepping as the dependent variable and combined with the path search algorithm,the inbound station selection model based on logit model is constructed.With the opening of several new lines,the new stations have affected the OD distribution and site selection of the audience,and changed the inbound volume of the affected stations.Therefore,aiming at the audience taking rail transit,the passenger flow distribution model is established based on the historical passenger flow,and the passenger flow distribution in rail transit network of the reconstructed venues is predicted in combination with the AFC data of existing stations and the passenger flow data of new lines.At the same time,the newly added rail stations around the reconstructed venues change the selection limb.The established Logit station selection model is used to redetermine the selection probability of each inbound station and obtain the reconstructed passenger flow of the nearest station to provide input for subsequent simulations.Finally,taking the planned reconstructed gymnasium and the station close to the track as the object,the whole process evacuation micro model from the venue to the subway is constructed by using the design drawing to evaluate the impact of facility scale and layout scheme,different evacuation schemes and different commercial operation schemes on evacuation time.The following points are presented as conclusions.(1)The evacuation time is 48 min,61min,58 min and 69 min respectively when the width of the new concealed hall passage is 21 m,10.5m(straight),10.5m(diagonal)and 0m.(2)The evacuation time of the conventional evacuation scheme is 61 min,and the bottleneck point is located underground.Whereas the mutual trust channel and remote security screening schemes shift the evacuation bottleneck point to the ground,but this will result in an extended evacuation time of 75 min and 83 min.(3)The evacuation time was 48 min,53min,59 min and 62 min when the number of people entering the business was 0,5000,10000 and 15000,respectively.The findings of this paper will provide recommendations on facility size,evacuation organization and commercial operations to enhance service levels.