基于GBDT模型的高速公路差异化收费政策满意度影响因素分析
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作者单位:

1.昆明理工大学 交通工程学院;2.云南省交通科学研究院 发展研究中心

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中图分类号:

U491

基金项目:

国家自然科学基金资助项目(71861016);云南省交通运输厅科技创新及示范项目(2022-27-1); 高速公路差异化收费实施效果方法研究(JKYZX-2023-01)


Based on the GBDT model, the analysis of the influencing factors of the satisfaction of the highway differential charging policy is analyzed.
Author:
Affiliation:

1.Traffic Engineering College of Kunming University of Science and Technology;2.Development Research Center of Yunnan Academy of Transportation Sciences

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    摘要:

    为解决高速公路差异化收费实施效果评价中较少考虑公众满意度对评价效果的影响问题。以2022年云南省差异化收费路段满意度调查问卷为基础,构建二分类实验下的梯度提升迭代决策树模型(GBDT),对高速公路差异化收费政策满意度影响因素进行分析。研究结果表明:构建的二分类实验下的梯度提升迭代决策树模型(GBDT)具有较好的拟合性。同时,及时准确优惠的满意程度是影响高速公路差异化收费政策总体满意度的最主要因素,其贡献程度为20.35%;此外,通过独立效应分析表明:货车空车差异化收费方式总体满意度最高,分路段差异化收费方式总体满意度最低。

    Abstract:

    In order to solve the problem that the influence of public satisfaction on the evaluation effect is less considered in the evaluation of the implementation effect of expressway differentiated toll collection. Based on the satisfaction questionnaire of differentiated toll road sections in Yunnan Province in 2022, a gradient boosting iterative decision tree model (GBDT) under the binary classification experiment was constructed to analyze the influencing factors of the satisfaction of differentiated toll policies on expressways. The results show that the gradient boosting iterative decision tree model (GBDT) under the binary classification experiment has good fitting. At the same time, the satisfaction degree of timely and accurate preferential policies is the most important factor affecting the overall satisfaction of expressway differentiated charging policies, and its contribution degree is 20.35%. In addition, the independent effect analysis shows that the overall satisfaction of the differentiated charging method for empty trucks is the highest, and the overall satisfaction of the differentiated charging method for road sections is the lowest.

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刘拥华,段瑞坤,申科,等. 基于GBDT模型的高速公路差异化收费政策满意度影响因素分析[J]. 科学技术与工程, , ():

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  • 收稿日期:2023-05-31
  • 最后修改日期:2023-08-06
  • 录用日期:2023-08-10
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