| 基于产业关联度的城际轨道交通客流预测 |
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| 引用本文： | 许振田,刘福生,孙志华.基于产业关联度的城际轨道交通客流预测[J].交通科技与经济,2011,13(4):62-66. |
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| 作者姓名： | 许振田 刘福生 孙志华 |
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| 作者单位： | 长春城乡规划设计研究院; |
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| 摘 要： | 阐述产业关联度在城际轨道交通分布模型中应用,将两城市之间的产业关联度参数加入到交通分布模型中,提出交通小区间产业关联度的灰色理论计算方法,改进系统平衡模型。提出基于产业关联度的城际轨道交通客流预测方法,并以沪杭城际轨道交通客流量预测为例,验证模型的合理性。
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| 关 键 词： | 城际轨道交通 产业关联度 灰色关联 客流量 出行分布 |
Industrial Correlativeness Degree's Application on Volume Prediction of Inner-City Rail Transit |
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| XU Zhen-tian,LIU Fu-sheng,SUN Zhi-hua.Industrial Correlativeness Degree's Application on Volume Prediction of Inner-City Rail Transit[J].Technology & Economy in Areas of Communications,2011,13(4):62-66. |
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| Authors: | XU Zhen-tian LIU Fu-sheng SUN Zhi-hua |
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| Institution: | XU Zhen-tian,LIU Fu-sheng,SUN Zhi-hua(Changchun Institute of City Planning & Research,Changchun 130021,China) |
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| Abstract: | This paper expounds the feasibility of interrelationship between industries method' application on inner-city rail transit,put the industrial connection parameters into traffic distribution model,presents the gray theory on how to calculate the industrial connection parameters,the system model was improved.Industrial correlativeness degree was proposed based on the inter-city rail transit volume forecast method,with the case of Huhang intercity rail transit,it verifies the model's rationality. |
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| Keywords: | inner-cities rail transit industrial correlativeness degree grey model passenger volume trip distribution |
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