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

• Traffic and Transportation • Previous Articles     Next Articles

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

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

CLC Number: 

  • U491.2