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TOD模式下城市轨道交通诱增客流预测研究

Prediction of Induced Passenger Flow in Urban Rail Transit Under TOD Mode

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【作者】 张姣吕红霞刘晓伟王芙蓉谢亮

【Author】 ZHANG Jiao;LV Hong-xia;LIU Xiao-wei;WANG Fu-rong;XIE Liang;School of Transportation and Logistics,Southwest Jiaotong University;National Railway Train Diagram Research and Training Center,Southwest Jiaotong University;National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation,Southwest Jiaotong University;Railway Eryuan Engineering Group Co.Ltd;

【机构】 西南交通大学交通运输与物流学院西南交通大学全国铁路列车运行图编制研发培训中心综合交通运输智能化国家地方联合工程实验室中铁二院工程集团有限责任公司

【摘要】 针对传统SOD模式下城市轨道交通诱增客流预测方法的局限性,通过分析诱增客流形成机理,提出了TOD模式下城市轨道交通诱增客流预测的思路与方法。从交通条件改善角度,提出有无项目对比法,预测开通初期诱增客流;并基于交通引导开发构建生长曲线模型,预测近、远期诱增客流。最后以TOD模式下的北京八通线为例进行验证,所得近期预测值与实际值之间的贴合度为0.9,精度优于传统SOD模式下的诱增客流预测方法。

【Abstract】 By analyzing the mechanism of induced passenger flow and considering the defects of traditional prediction methods about induced passenger flow in urban rail transit under SOD mode, a prediction method about induced passenger flow in urban rail transit under TOD mode was put forward.Then, from the perspective of improving traffic conditions, the presence or absence comparison method was presented to predict the initial stage of induced passenger flow.Then, a growth curve model based on transit-oriented development was constructed.Finally, taking Batong subway in Beijing as an example under TOD mode, and the results show that the difference between the predicted result and the actual one is 0.9, which is more accurate than the result of the traditional method prediction of induced passenger flow under SOD mode.

  • 【文献出处】 交通运输工程与信息学报 ,Journal of Transportation Engineering and Information , 编辑部邮箱 ,2017年01期
  • 【分类号】U293.13
  • 【被引频次】9
  • 【下载频次】418
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