Modelling cyclist queue formation using a two-layer framework for operational cycling behaviour

Journal Article (2019)
Author(s)

Alexandra Gavriilidou (Transport and Planning)

Winnie Daamen (Transport and Planning)

Yufei Yuan (Transport and Planning)

Serge Hoogendoorn (TU Delft - Civil Engineering & Geosciences)

Transport and Planning
DOI related publication
https://doi.org/10.1016/j.trc.2019.06.012 Final published version
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Publication Year
2019
Language
English
Transport and Planning
Bibliographical Note
Accepted Author Manuscript
Journal title
Transportation Research Part C: Emerging Technologies
Volume number
105
Pages (from-to)
468-484
Downloads counter
321
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Abstract

Operational cycling behaviour is greatly understudied, even lacking a definition of what this behavioural level actually entails in terms of decision making. In this paper, we define the cyclist operational level and argue that it consists of two intertwined processes, a mental and a physical process. The mental process refers to path choices made within a route and the physical process refers to the bicycle control dynamics through pedalling and steering. We propose a novel two-layer framework, where each layer captures the tasks of one of the processes within the operational level. Discrete choice theory is proposed to model each layer. The plausibility of the framework is demonstrated through an application focusing on the queue formation process upstream of a red traffic light, including selecting a queuing position and cycling towards it. Models are estimated for the two layers using cyclist trajectory data collected at a signalised intersection in Amsterdam, the Netherlands. The models reveal the attributes that influence the decisions made in each layer and are face validated using simulation. The proposed framework and the (behavioural) findings of its application are the main scientific contributions of this paper, which pave the way for future research.

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