城市轨道交通新线开通后对既有线客流影响初步分析
发布时间：2018-07-14 21:55
【摘要】：我国城市轨道交通行业正处于快速发展建设时期,不断有新的城市轨道交通线路投入运营。新线路的开通,不仅使网络拓扑结构更加复杂、网络覆盖范围不断扩大,而且促进了轨道客流的增长。新线开通导致的客流增长,可能造成既有线网站点乘降量过大、区间负荷过大等不利影响,导致难以发挥整个城市轨道交通网络的作用,担负起城市公共交通骨干的责任。因此研究获得城市轨道交通既有线路的客流数据,新线开通条件下既有线网的客流变化情况、时空分布特点规律,新线开通对既有线网客流的影响规律,对新线设计方案制定和选取,新线开通可能造成的客流影响,全网客流预测,优化调整运营方案等方面具有重要意义。研究以分析新线开通对既有线客流影响为目标。首先,为分析单条新线开通对既有网络客流的影响,在充分考虑实际的新线客流来源以及城市轨道交通网络结构特点的基础上,构建了新线客流还原模型。模型利用基于空间位置及距离的概率函数将新线客流还原至新线开通前的网络中,利用Trans CAD软件,按照随机用户平衡方式分配客流至网络中。通过模型,获得了单条新线开通条件下的客流数据,以及新线开通之前的客流数据。其次,基于模型得到的单条新线开通前后的客流数据,按照全天到高峰小时的时间尺度,对其进行网络、线路、区间、车站层级下的客流指标变化分析,并对全天时间尺度下的站点层级、区间层级的客流数据变化进行聚类等级划分,对不同新线单独开通对既有线站点乘降量及区间变化进行了评价。再次,基于计算分析得到的结果,结合新线空间地理信息,分析并总结了不同新线类型对于既有线车站和区间的影响规律。最后,由于已有的结论基于新线开通伴随重大交通政策的调整下的数据,结果难免受到多因素的交叉影响。因此,将模型应用于只有新线(昌平线二期和14号线中段)开通而无其他重大交通政策调整的案例分析,验证了模型的有效性和普适性。研究得到的客流影响规律和特征,能够为今后新线路的规划和实施提供一定参考。文末对全文进行了总结,对本研究的主要成果进行了归纳,对研究存在的问题和改进之处进行了概括,展望了进一步研究工作的方向。
[Abstract]:The urban rail transit industry in China is in the period of rapid development and construction, and the new urban rail transit lines have been put into operation. The opening of the new lines not only makes the network topology more complex, the network coverage is expanding, but also promotes the growth of the rail passenger flow. The increase of passenger flow caused by the new line opening may cause the existing line, which may cause the existing line. It is difficult to play the role of the whole urban rail transit network and take on the responsibility of the backbone of the urban public transportation. Therefore, the passenger flow data of the existing urban rail transit lines, the change of the passenger flow in the existing line network and the spatial and temporal distribution characteristics under the conditions of the new line opening are studied. The law, the new line opening to the existing railway network passenger flow law, the new line design and selection, the new line opening may cause the passenger flow influence, the whole network passenger flow forecast, the optimized adjustment operation plan and so on aspects have the important significance. The new line passenger flow reduction model is built on the basis of the actual new line passenger flow and the urban rail traffic network structure. The model uses the probability function based on space position and distance to restore the new line passenger flow to the new line open network, using the Trans CAD software, according to the following. Through model, the passenger flow data under the condition of single new line opening are obtained, and the passenger flow data before the new line is opened. Secondly, the passenger flow data before and after the opening of the new line are obtained based on the model, and the network, line, interval and car are carried out according to the time scale of the whole day to peak hour. At the station level, the change of passenger flow index is analyzed, and the clustering classification is carried out on the change of passenger flow data at the site level and interval level in the whole time scale, and the multiplicative and interval changes of the existing railway stations are evaluated by different new lines. The influence rules of different new line types on existing railway stations and sections are analyzed and summarized. Finally, due to the existing conclusions based on the data adjusted by the new line opening with major traffic policies, the results are difficult to avoid the cross effects of multiple factors. Therefore, the model is applied to the new line (the two phase of the Changping line and the middle section of line 14). There is no other major traffic policy adjustment case analysis to verify the validity and universality of the model. The study of the regularity and characteristics of the influence of the passenger flow can provide some reference for the planning and implementation of the new line. The progress is summarized and the direction of further research is prospected.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U293.13
[Abstract]:The urban rail transit industry in China is in the period of rapid development and construction, and the new urban rail transit lines have been put into operation. The opening of the new lines not only makes the network topology more complex, the network coverage is expanding, but also promotes the growth of the rail passenger flow. The increase of passenger flow caused by the new line opening may cause the existing line, which may cause the existing line. It is difficult to play the role of the whole urban rail transit network and take on the responsibility of the backbone of the urban public transportation. Therefore, the passenger flow data of the existing urban rail transit lines, the change of the passenger flow in the existing line network and the spatial and temporal distribution characteristics under the conditions of the new line opening are studied. The law, the new line opening to the existing railway network passenger flow law, the new line design and selection, the new line opening may cause the passenger flow influence, the whole network passenger flow forecast, the optimized adjustment operation plan and so on aspects have the important significance. The new line passenger flow reduction model is built on the basis of the actual new line passenger flow and the urban rail traffic network structure. The model uses the probability function based on space position and distance to restore the new line passenger flow to the new line open network, using the Trans CAD software, according to the following. Through model, the passenger flow data under the condition of single new line opening are obtained, and the passenger flow data before the new line is opened. Secondly, the passenger flow data before and after the opening of the new line are obtained based on the model, and the network, line, interval and car are carried out according to the time scale of the whole day to peak hour. At the station level, the change of passenger flow index is analyzed, and the clustering classification is carried out on the change of passenger flow data at the site level and interval level in the whole time scale, and the multiplicative and interval changes of the existing railway stations are evaluated by different new lines. The influence rules of different new line types on existing railway stations and sections are analyzed and summarized. Finally, due to the existing conclusions based on the data adjusted by the new line opening with major traffic policies, the results are difficult to avoid the cross effects of multiple factors. Therefore, the model is applied to the new line (the two phase of the Changping line and the middle section of line 14). There is no other major traffic policy adjustment case analysis to verify the validity and universality of the model. The study of the regularity and characteristics of the influence of the passenger flow can provide some reference for the planning and implementation of the new line. The progress is summarized and the direction of further research is prospected.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U293.13
【参考文献】
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