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首页> 外文期刊>EURO journal of transportation and logistics >Multimodal route choice models of public transport passengers in the Greater Copenhagen Area
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Multimodal route choice models of public transport passengers in the Greater Copenhagen Area

机译：大哥本哈根地区公共交通乘客的多式联运路线选择模型

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Understanding route choice behavior is crucial to explain travelers' preferences and to predict traffic flows under different scenarios. A growing body of literature has concentrated on public transport users without, however, concentrating on multimodal public transport networks because of their inherent complexity and challenges. In particular, choice set generation and modeling route choice behavior while accounting for similarity across alternatives and heterogeneity across travelers are non-trivial challenges. This paper tackles these challenges by focusing on the revealed preferences of 5,641 public transport users in the Greater Copenhagen Area. A two-stage approach consisting of choice set generation and route choice model estimation allowed uncovering the preferences of the users of this multimodal large-scale public transport network. The results illustrate the rates of substitution not only of the in-vehicle times for different public transport modes, but also of the other time components (e.g., access, walking, waiting, transfer) composing the door-to-door experience of using a multimodal public transport network, differentiating by trip length and purpose, and accounting for heterogeneity across travelers.
机译：了解路线选择行为对于解释旅行者的偏好并预测不同情况下的交通流量至关重要。越来越多的文献集中在公共交通用户上，但是由于其固有的复杂性和挑战，而没有集中在多式联运网络上。特别是，选择集的生成和路线选择行为的建模，同时要考虑替代方案之间的相似性和旅行者之间的异质性，这并非易事。本文着眼于大哥本哈根地区5,641名公共交通用户的偏好，从而解决了这些挑战。由选择集生成和路线选择模型估计组成的两阶段方法可以揭示这种多模式大规模公共交通网络用户的偏好。结果表明，不仅是不同公共交通方式的车内时间的替代率，而且是构成使用公交车的上门体验的其他时间部分（例如，出入，步行，等待，转移）的替代率。多式联运的公共交通网络，根据出行时间和目的进行区分，并考虑旅行者之间的异质性。

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