| At present,when planning and optimizing the urban bus line network,more attention is paid to travel time while neglecting the comfort of riding,which leads to abnormal crowding in buses during peak hours.Overcrowding in the bus not only affects the choice of residents’ travel mode,but also reduces the attractiveness of the bus.Obviously,bus crowding is the most important factor affecting bus comfort.Therefore,it is necessary to scientifically and rationally plan and design the bus line network to reduce bus crowding,improve ride comfort,and increase the attractiveness of bus.The development of data mining technology and public transport big data has brought new challenges and opportunities to the solution of urban public transport problems.How to analyze and mine massive bus data efficiently and accurately to quickly and accurately identify “key bus corridors” is an important issue that needs to be solved urgently to optimize the allocation of public transport corridors scientifically and rationally,and to improve the quality of public transport services in the corridors.In response to the problem of abnormal congestion in buses during peak hours,the paper uses bus IC card data,combined with bus research,to analyze the characteristics of Shenzhen’s bus passenger flow,identify key bus corridors,and optimize the configuration of bus corridors.The main tasks are as follows: 1)The characteristics of Shenzhen’s bus passenger flow are analyzed in three aspects as follows:the basic situation of public transport passenger traffic,the basic situation of bus traffic and the basic characteristics of bus passenger flow.Through the analysis the current status of Shenzhen’s bus development is obtained,and the time distribution law of Shenzhen’s bus passenger flow is obtained.2)Based on “quantitative statistics + visual analysis”,a method of identifying the key bus corridors in rush hours is proposed,which accurately identifies the key bus corridors in Shenzhen city.The characteristics of the crowding situation of bus in the key bus corridors are analyzed from the distribution of station passenger flow and the crowding degree of bus travel,and the key bus corridors with abnormal crowding characteristics are found.3)Taking the key bus corridor in the north section of Shahe West Road as an example,the configuration and evaluation of the corridor were carried out.Based on the survey data and the bus IC card passenger flow data,the time and space imbalance characteristics of the passenger flow in the corridor are specifically analyzed.In response to the problem of abnormal congestion in the bus during the morning rush hour on the corridor,this paper puts forward the optimization scheme of designing the peak line of the corridor to reduce the congestion and improve the ride comfort,three corridor peak line optimization schemes were comprehensively designed,and the three schemes were allocated and evaluated using the bus passenger capacity limitation allocation method,and the optimal scheme for corridor optimal configuration was finally obtained.The key bus corridor identification method proposed in this paper can provide a method reference for the identification of key bus corridors,and the optimal configuration of actual bus corridor cases can be a reference for the optimization of bus corridors. |