引入母子公司关联因素的城际客运出行 分布预测模型
作者:
作者单位:

同济大学 道路与交通工程教育部重点实验室,上海 201804

作者简介:

陶思然(1990—),女,博士生,主要研究方向为交通运输规划与管理。 E-mail: taosiran0414@126.com

通讯作者:

叶霞飞(1961—),男,教授,博士生导师,工学博士,主要研究方向为轨道交通规划与设计。E-mail: yxf@tongji.edu.cn

基金项目:

国家科技支撑计划(2013BAG19B00)


Forecasting Model of Intercity Trip Distribution with Consideration of Connections Between Headquarters and Subsidiaries
Author:
Affiliation:

Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China

Fund Project:

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    摘要:

    从城际客运出行目的出发,分析了影响城际客运出行分布的关联性因素,探讨了各企业总部与分支机构之间的关联性对城际客运出行所带来的影响,并提出了母子公司关联系数的概念及量化方法。利用母子公司关联系数构建了城际客运出行分布预测模型,然后采用日本干线旅客流动调查起点?终点(OD)对数据和经济普查数据对模型进行标定。最后,给出了母子公司关联系数随时间变化的规律。结果表明:引入母子公司关联系数后,模型预测能力有所提高。

    Abstract:

    The influential factors which can describe the connection between cities when it comes to intercity trip distribution were analyzed based on the intercity travel purpose. The effect of the connection between headquarters of enterprises and their subsidiaries on the intercity travel demand was discussed, and a variable of headquarters-subsidiaries links was put forward. The quantification method of the variable was also included. The variable was used to construct the intercity trip distribution forecasting model, and the model was calibrated by using 2010 Inter-Regional Travel Survey data and economic census data in Japan. Finally, the variation of the headquarters-subsidiaries links with time was discussed. The results show that the forecasting model performs better after adding the variable.

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陶思然,叶霞飞.引入母子公司关联因素的城际客运出行 分布预测模型[J].同济大学学报(自然科学版),2020,48(9):1319~1327

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  • 收稿日期:2019-12-16
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  • 在线发布日期: 2020-09-27