AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (471.9 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

An investigation into the determinants of satisfaction concerning varied toll policies on highways using the random forest model

Yonghua Liu1Ruikun Duan1( )Ke Shen2Qingxiong Luan2Hanqi Gao2Hao Deng2
Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650504, China
Development Research Center of Yunnan Transportation Research Institute Co., Kunming 650011, China
Show Author Information

Abstract

To address the insufficient consideration of public satisfaction's impact on the assessment of the implementation effectiveness of differentiated toll collection on expressways, a study was conducted using a satisfaction survey questionnaire from differentiated toll road sections in Yunnan Province in 2022. A random forest model (RF) was constructed under a two-category experiment to analyze the factors influencing satisfaction with expressway-differentiated toll policies. Multiple models underwent five-classification and two-classification experiments using the same training and test datasets. Results revealed that the RF model in the binary classification experiment exhibited a good fit. Notably, the satisfaction level with timely and accurate preferential policies emerged as the most critical factor, contributing 20.35% to the overall satisfaction with expressway differentiated toll policies. Independent effect analysis highlighted that the overall satisfaction with the differentiated charging method for empty trucks ranked highest, while satisfaction with the differentiated charging method for road sections was the lowest.

CLC number: 62P30

References

【1】
【1】
 
 
AIMS Mathematics
Pages 4161-4177

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Liu Y, Duan R, Shen K, et al. An investigation into the determinants of satisfaction concerning varied toll policies on highways using the random forest model. AIMS Mathematics, 2024, 9(2): 4161-4177. https://doi.org/10.3934/math.2024204

3

Views

0

Downloads

0

Crossref

0

Web of Science

3

Scopus

Received: 09 December 2023
Revised: 04 January 2024
Accepted: 09 January 2024
Published: 15 February 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)