Research On Structure And Invulnerability Of Beijing Subway Passenger Networks

Rail traffic plays an increase inflow important role in the development of social economy in the cities,which also becomes one of the strategic emerging industry in China.Lots of the current study is concentrated on the planning and design of road net,the optimization of traffic management and traffic system operating management,etc.However,as for the city functions and economic social environment diverse in different regions,so that the characteristics of the traffic demands of people are different,resulting in the difference in the contradiction of traffic supply and demand condition.Urban metro transportation system is a system with complexity characteristics,the traveling behavior that people take a subway forms a passenger flow net.Hence,it is necessary to master the distribution of metro passenger flow from the demand side.In order to study the characteristics and anti-destroying ability evaluation of the structure of Beijing subway passenger flow net,the research work and main innovative points in this article embodied in the following aspects:(1)Based on the complex network theory,the directed and unweighted complex network models of Beijing subway passenger flow are constructed.The structure of passenger flow net forms differently due to the diverse cumulative volume of passenger flow.Therefore,we established six directed and unweighted complex network model of Beijing subway passenger flow based on 6 kinds of threshold,and analyze the characteristics of directed and unweighted complex network structure in Beijing subway passenger flow.It was found that the traffic network structure is different when the threshold is different,the Beijing subway passenger flow has uneven distribution,but the characteristics of which are differentiation and "small world",subway stations and riding routes act as an intermediary.(2)We constructed the directed weighted complex network model of the Beijing subway passenger flow.It was found that there are phenomena about that a few sites with a large number of passengers get in and out of the station,and a few riding route carry large traffic,and among the drive behavior of these with a huge traffic flow,few transformation happens,and the level of transformation which is involved in different lines mostly concentrated in the 4000-6000 range of passenger flow;Beijing network passenger flow distribution has obvious cluster effect,which provides effective scientific basis for the decentralized management of metro passenger flow.(3)We build the Beijing subway network model,and test the relationship between the subway passenger flow net and network structure by using the method of nonparametric test –secondary assigned program(QAP).Results showed that they have significant positive correlation;through the establishment of Beijing subway passenger traffic network and the network structure of QAP between regression model,we also found there is significant regression relationship between the two.However,the values of the correlation coefficient based on QAP and the determining coefficient through the regression are lower,which reflect there is still a great space for the development of the planning of Beijing subway network and construction in the future.(4)Analyzing the structure of network after deleting sites or riding behavior route(edge)through attacking the sites and riding behavior routes for invulnerability evaluation.It was found that the damaging level of site attack to the passenger flow of subway network is more serious than driving behavior route attacks;The subway stations,riding route number,the weighted degree centricity presents exponentially decline under the two kinds of attack mode,which reflects the influence on the subway traffic network caused by two kinds of attack in varying degrees.Thus providing the reference basis for the response made by Beijing to emergencies and subway traffic emergency management.