Research on Drivers’ Willingness to Choose Tidal Lanes Based on Logit Model

随着城市科技和经济的发展,城市道路因为人们的周期性出行需求出现了潮汐交通流,为了解决这一现象带来的拥堵,潮汐车道便随之被设计出来。目前,专家学者对于潮汐车道的研究主要在于如何优化潮汐车道的设立,并通过模型、实例分析等方法研究潮汐的实际效果。但是在众多研究中缺少了对于驾驶员在驾驶过程中是否会选择潮汐车道的研究。因此,在此背景下,通过实际的调查问卷数据来建立潮汐车道选择模型。With the development of urban technology and economy, urban roads have witnessed tidal traffic flow due to people’s periodic travel demands. To address the congestion caused by this phenomenon, tidal lanes have been designed. Currently, experts and scholars mainly focus on optimizing the establishment of tidal lanes and studying their actual effects through models and case analyses. However, among numerous studies, there is a lack of research on whether drivers will choose tidal lanes during driving. Therefore, in this context, a tidal lane selection model is established based on actual questionnaire data.

Authors

Publication Details

Journal
Modeling and Simulation
Published
2025-01-01
DOI
https://doi.org/10.12677/mos.2025.147513
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
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article

Research on Drivers’ Willingness to Choose Tidal Lanes Based on Logit Model

柯然 刘
Modeling and Simulation
Transportation Planning and Optimization
article

Research on Drivers’ Willingness to Choose Tidal Lanes Based on Logit Model

柯然 刘
article en

Abstract

随着城市科技和经济的发展,城市道路因为人们的周期性出行需求出现了潮汐交通流,为了解决这一现象带来的拥堵,潮汐车道便随之被设计出来。目前,专家学者对于潮汐车道的研究主要在于如何优化潮汐车道的设立,并通过模型、实例分析等方法研究潮汐的实际效果。但是在众多研究中缺少了对于驾驶员在驾驶过程中是否会选择潮汐车道的研究。因此,在此背景下,通过实际的调查问卷数据来建立潮汐车道选择模型。With the development of urban technology and economy, urban roads have witnessed tidal traffic flow due to people’s periodic travel demands. To address the congestion caused by this phenomenon, tidal lanes have been designed. Currently, experts and scholars mainly focus on optimizing the establishment of tidal lanes and studying their actual effects through models and case analyses. However, among numerous studies, there is a lack of research on whether drivers will choose tidal lanes during driving. Therefore, in this context, a tidal lane selection model is established based on actual questionnaire data.

Modeling and SimulationVol. 14(07)
Climate action
Openalex Percentile: Top 81%
Transportation Planning and Optimization
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