山东科学 ›› 2023, Vol. 36 ›› Issue (3): 115-122.doi: 10.3976/j.issn.1002-4026.2023.03.014

• 交通运输 • 上一篇    下一篇

河南省农村公路交通经济效益影响因素分析

单飞1(), 祝亚坤2, 聂世刚1, 吴旭3   

  1. 1.河南交通发展研究院有限公司,河南 郑州 450053
    2.南京都市交通规划设计有限公司,江苏 南京 211102
    3.河南省交通运输厅,河南 郑州 450016
  • 收稿日期:2022-05-26 出版日期:2023-06-20 发布日期:2023-06-07
  • 作者简介:单飞(1983—),男,高级工程师,研究方向为区域交通系统规划与管理。E-mail:2261183895@qq.com
  • 基金资助:
    河南省交通运输厅科技项目(2020G-2-3)

Analysis of factors influencing the traffic economic benefits of rural roads in Henan Province

SHAN Fei1(), ZHU Yakun2, NIE Shigang1, WU Xu3   

  1. 1. Henan Transportation Development Research Institute Co., Ltd., Zhengzhou 450053, China
    2. Nanjing urban traffic planning and Design Co., Ltd., Nanjing 211102, China
    3. Henan Provincial Department of Transportation, Zhengzhou 450016, China
  • Received:2022-05-26 Online:2023-06-20 Published:2023-06-07

摘要:

为有效提升农村公路的交通经济效益,量化其潜在影响因素的差异性影响至关重要。以2016—2020年河南省1 791个乡镇的农村公路为例,从基础经济、交通建设、运输能力与安全环保4个维度选取27个影响农村公路交通经济效益的因素;采用偏比例优势模型,得到22个显著因素,其中11个因素违背平行线假设;利用其边际效应,进一步量化分析显著因素对农村公路交通经济效益的影响。其中影响最大的前6个因素为日平均出行强度、路网密度、户均机动车拥有量、人口密度、日平均出行距离、人均消费支出,其边际效应的最大值均超过13%,表明出行需求、建设规模、经济水平对该交通经济效益的影响最明显;其余农路运营服务性与安全环保性因素的影响较小(边际效应均小于11%)。据此差异性影响提出一些相应的发展对策,以推动农村公路的交通经济又好又快地发展。

关键词: 农村公路, 交通经济效益, 影响因素, 偏比例优势模型

Abstract:

To effectively improve the traffic economic benefits of rural roads, it is crucial to quantitatively analyze the different impacts of their potential influencing factors. The current study took the rural roads of 1 791 townships across Henan Province between 2016 and 2020 as an example and selected 27 factors influencing the traffic economic benefits of rural highways from four dimensions: basic economy, transportation construction, transportation capacity, and safety and environmental protection. The partial proportional odds model was applied, and the results showed 22 significant factors of which 11 factors violated the parallel-lines assumption. Through the marginal effects of the model, further quantitative analysis of the effects of the significant factors on the traffic economic benefits of rural highways was conducted. Among the factors, the top six influencing factors were daily average travel intensity, road network density, average motor vehicle ownership per household, population density, daily average travel distance, and per capita consumption expenditure. The maximum values of their marginal effects exceeded 13%, indicating that travel demand, construction scale, and economic level had the most remarkable impact on traffic economic benefits. Other factors concerning rural highway operation service and safety and environmental protection had less impact (marginal effects were less than 11%). Based on the different effects observed, several corresponding development countermeasures are propounded to promote sound and rapid development in the traffic economy of rural highways.

Key words: rural roads, traffic economic benefits, influencing factors, partial proportional odds model

中图分类号: 

  • U491.2