区域轨道交通综合客运枢纽运能瓶颈识别研究

Research on Identification of Capacity Bottleneck of Regional Rail Transit Comprehensive Passenger Transport Hub

基于铁路列车到发数据,给出枢纽内铁路运输的旅客到达能力的计算公式,并结合城市轨道交通、城市公交及出租车的疏散能力计算结果,得到运能匹配度计算的基础数据,进而通过分析全日多种交通方式各时段的匹配度取值结果,识别枢纽多种交通方式的运能瓶颈现象.选取成都东站为例进行验证分析,根据铁路旅客到达能力的计算公式,得到成都东站全日旅客到达人数为149668.7人·次/d,其中19:00—20:00时段到达旅客13021.1人·次/h为全日最高到达时段,为运能匹配度计算提供数据支撑.最终匹配度计算结果显示,成都东站在春运期间早高峰08:00—09:00时段,以及晚高峰19:00—22:00时段部分交通方式匹配度取值程度达到瓶颈标准(≥0.90),尤其是晚高峰时段,成都东站地铁2号线东向匹配度取值为1.10、地铁7号线内环为0.94、地铁7号线外环为1.10、出租车为1.09,已呈现不同程度的运能瓶颈.

Based on the arrival and departure data of railway trains,the calculation formula of passenger arrival capacity of railway transportation in hub was given.Combined with the evacuation capacity calculation results of urban rail transit,urban bus and taxi,the basic data of capacity matching degree calculation was obtained.Then,by analyzing the matching degree values of various transportation modes in different periods of the day,the bottleneck phenomenon of transportation capacity of various transportation modes in hub can be identified.Taking Chengdu East Railway Station as an example for verification and analysis,according to the calculation formula of railway passenger arrival capacity,it is found that the daily passenger arrival number of Chengdu East Railway Station is 149,668.7 person-times/day.Among them,13,021.1 passengers/hour from 19:00 to 20:00 are the highest arrival time of the day,which provides data support for the calculation of capacity matching degree.The final matching degree calculation results show that the matching degree of some modes in Chengdu East Railway Station during the morning rush hour from 08:00 to 9:00 and the evening rush hour from 19:00 to 22:00 in Spring Festival travel rush reaches the bottleneck standard(≥0.90).Especially in the evening rush hour,the eastbound matching degree of Chengdu East Railway Station Metro Line 2 is 1.10,the inner ring of Metro Line 7 is 0.94,the outer ring of Metro Line 7 is 1.10,and the taxi is 1.09,which has presented different capacity bottlenecks.