Print Email Facebook Twitter Modelling cyclist queue formation using a two-layer framework for operational cycling behaviour Title Modelling cyclist queue formation using a two-layer framework for operational cycling behaviour Author Gavriilidou, A. (TU Delft Transport and Planning) Daamen, W. (TU Delft Transport and Planning) Yuan, Y. (TU Delft Transport and Planning) Hoogendoorn, S.P. (TU Delft Transport and Planning) Department Transport and Planning Date 2019 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. Subject Cyclist queue formation processCyclist queue position choiceCyclist trajectoriesDiscrete choice theoryOperational cycling behaviourTwo-layer framework To reference this document use: http://resolver.tudelft.nl/uuid:cca7a22f-2c37-485b-b425-d35a11adfad0 DOI https://doi.org/10.1016/j.trc.2019.06.012 Embargo date 2021-06-28 ISSN 0968-090X Source Transportation Research. Part C: Emerging Technologies, 105, 468-484 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2019 A. Gavriilidou, W. Daamen, Y. Yuan, S.P. Hoogendoorn Files PDF TRC_Gavriilidou_et_al_2019.pdf 3.08 MB Close viewer /islandora/object/uuid:cca7a22f-2c37-485b-b425-d35a11adfad0/datastream/OBJ/view