| 城市轨道交通客流空间分布模型 |
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| 引用本文： | 尚斌,张小宁.城市轨道交通客流空间分布模型[J].西南交通大学学报,2013,26(3):539-545. |
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| 作者姓名： | 尚斌 张小宁 |
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| 基金项目： | 国家杰出青年科学基金资助项目(71125004) |
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| 摘 要： | 为定量分析轨道交通客流随线路距市中心距离增加的变化趋势,在分析路面使用性能衰变模型的基础上,建立了城市轨道交通客流空间分布模型.运用上海市和天津市轨道交通实际数据对模型进行了验证,结果表明:重要节点系数K取值越大,轨道交通重要节点站越重要,客流量越大;形状参数值β大于1时,客流变化趋势曲线呈反S形,小于1时呈凹形;城市规模参数α反映了轨道交通辐射范围,取值接近15 km的城市规模参数连线在上海市外环路附近,表明轨道交通客流主要集中在主城区内;预测客流随轨道交通车站距市中心距离变化的规律与实际情况相符.
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| 关 键 词： | 轨道交通 客流量 空间分布 空间距离 重要节点 |
| 收稿时间： | 2012-07-03 |
Passenger-Flow Spatial Distribution Model of Urban Rail Transit |
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| SHANG Bin,ZHANG Xiaoning.Passenger-Flow Spatial Distribution Model of Urban Rail Transit[J].Journal of Southwest Jiaotong University,2013,26(3):539-545. |
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| Authors: | SHANG Bin ZHANG Xiaoning |
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| Abstract: | In order to analyze the variation of urban rail transit (URT) passenger flow against the distance from the city center, a model characterizing the passenger spatial distribution of urban rail system was proposed, which was based on the deterioration model of pavement performance. The model was verified using the real passenger flow data of URT in Shanghai and Beijing. The results show that the larger the value of the important node coefficient K, the more important the important node station and the larger the passenger volume will be. When the shape parameter β is larger than 1, the trend curve of passenger flow is inverse S shaped; when β is less than 1, the trend curve of passenger flow is concave. In addition, the urban scale parameter reflects the radiation range of rail transit. When the value of α is near 15 km, the connection line of urban scale parameter is near the Outer Ring Road in Shanghai, indicating that the URT passenger flow is mainly concentrated in the main urban areas. The predicted variation of URT forecasting passenger flow against the distance from the city center is accordance with the actual situation. |
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