A multi-modal network equilibrium model considering captive travelers and mode correlation

IF 3.5 2区 工程技术 Q1 ENGINEERING, CIVIL Transportation Pub Date : 2024-04-08 DOI:10.1007/s11116-024-10475-8
Guangchao Wang, Defeng Song, Hang Qi, Juanhua Zhou, Zhengbing He
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Abstract

In making daily commuting trips, a part of travelers, which are called captive travelers, rely on one transport mode due to a lack of access or affordability to other transport modes. To account for the effect of such captive travelers on network equilibrium performances, this paper proposes a multi-modal network equilibrium (MMNE) model that accounts for the captive travelers and the correlations between modes and between routes. First, a hybrid mode choice model is developed by integrating the dogit and nested logit (NL) models. The hybrid dogit–NL (DNL) model has smaller direct and cross elasticity than the NL model, it alleviates the property of irrelevant from independent alternatives and takes the dogit and NL modal splits as bounds. Second, the path-size logit (PSL) model is adopted for predicting travelers’ route choices with overlapping routes. The DNL–PSL MMNE model is formulated as a mathematical programming problem that admits an equivalent and unique solution. Then, a partial linearization algorithm with the Barzilai–Borwein (BB) step sizes is developed. The numerical results reveal that captive travelers lead to lower sensitivity toward transport policies and may cause higher network total travel time; while the perception of mode similarity may impair the overall attractiveness of modes with a high degree of similarity. The observations indicate that to promote green transportation, policy efforts should be made to make use of or adjust the captivity structure and produce diversified perceptions of and preferences for different green transport modes. The BB step sizes are suggested for low travel demand cases when solving the combined travel choice problems. Further, extensions of the DNL model with bundle captivities are discussed. The results of the paper help improve the network equilibrium prediction and support transport policymaking.

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多模式网络平衡模型考虑了自驾旅行者和模式相关性
在日常通勤旅行中,有一部分旅行者(被称为 "固定旅行者")由于无法使用或负担不起其他交通方式而依赖于一种交通方式。为了考虑这些自用旅客对网络均衡性能的影响,本文提出了一个多模式网络均衡(MMNE)模型,该模型考虑了自用旅客以及模式之间和线路之间的相关性。首先,通过整合 dogit 和嵌套 logit(NL)模型,建立了混合模式选择模型。与 NL 模型相比,混合 Dogit-NL 模型的直接弹性和交叉弹性较小,它减轻了独立替代品的不相关性,并将 Dogit 和 NL 模式分割作为边界。其次,采用路径大小对数(PSL)模型预测旅客的重叠路线选择。DNL-PSL MMNE 模型被表述为一个数学编程问题,该问题有一个唯一的等效解。然后,利用 Barzilai-Borwein (BB) 步长开发了部分线性化算法。数值结果表明,"圈养 "旅行者对交通政策的敏感度较低,可能会导致网络总旅行时间增加;而对模式相似性的感知可能会损害相似度高的模式的整体吸引力。这些观察结果表明,为促进绿色交通的发展,应在政策上努力利用或调整圈养结构,使人们对不同的绿色交通方式产生多样化的感知和偏好。在解决综合出行选择问题时,建议在低出行需求情况下采用 BB 步长。此外,还讨论了 DNL 模型与捆绑俘获的扩展。本文的结果有助于改进网络均衡预测,并为交通政策制定提供支持。
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来源期刊
Transportation
Transportation 工程技术-工程:土木
CiteScore
10.70
自引率
4.70%
发文量
94
审稿时长
6-12 weeks
期刊介绍: In our first issue, published in 1972, we explained that this Journal is intended to promote the free and vigorous exchange of ideas and experience among the worldwide community actively concerned with transportation policy, planning and practice. That continues to be our mission, with a clear focus on topics concerned with research and practice in transportation policy and planning, around the world. These four words, policy and planning, research and practice are our key words. While we have a particular focus on transportation policy analysis and travel behaviour in the context of ground transportation, we willingly consider all good quality papers that are highly relevant to transportation policy, planning and practice with a clear focus on innovation, on extending the international pool of knowledge and understanding. Our interest is not only with transportation policies - and systems and services – but also with their social, economic and environmental impacts, However, papers about the application of established procedures to, or the development of plans or policies for, specific locations are unlikely to prove acceptable unless they report experience which will be of real benefit those working elsewhere. Papers concerned with the engineering, safety and operational management of transportation systems are outside our scope.
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