Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98377
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Title: Willingness to board : a novel concept for modeling queuing up passengers
Authors: Liu, Z
Wang, S 
Chen, W
Zheng, Y
Issue Date: Aug-2016
Source: Transportation research. Part B, Methodological, Aug. 2016, v. 90, p. 70-82
Abstract: This paper addresses an innovative concept, termed as queuing passengers' willingness to board (WTB) the transit vehicles. In the peak hours, some queuing passengers cannot board a crowded bus/train, but when the same vehicle arrives at the next stop, some other passengers could still get on. This phenomenon reflects that passengers at different queuing locations have heterogeneous level of ambitions to board. A methodological framework is proposed for the quantitative investigation of WTB. First, a general model is proposed, together with a new least square method (LSM) for the calibration. Then, a parametric model is developed, which is also calibrated by the LSM. To refine the calibration method and deal with the biasness of survey data, a weighted least square method is further developed. Based on real survey data, the calibration results clearly support the existence of WTB, which can be used to estimate the capacity of transit vehicles. This paper also sheds some lights on the practical applications of the quantitative WTB.
Keywords: Mixed-integer programming
Parametric model
Transit passengers
Weighted least square method
Willingness to board
Publisher: Pergamon Press
Journal: Transportation research. Part B, Methodological 
ISSN: 0191-2615
EISSN: 1879-2367
DOI: 10.1016/j.trb.2016.04.005
Rights: © 2016 Elsevier Ltd. All rights reserved.
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Liu, Z., Wang, S., Chen, W., & Zheng, Y. (2016). Willingness to board: a novel concept for modeling queuing up passengers. Transportation Research Part B: Methodological, 90, 70-82 is available at https://doi.org/10.1016/j.trb.2016.04.005.
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