A high-deck coach evacuation model framework

Behavioural modelling, numerical analyses and insights

Journal Article (2025)
Author(s)

R. Huang (Chang'an University)

Xuan Zhao (Chang'an University)

Yuzhou Yang (Chang'an University)

Qingshan Liu (Chang'an University)

Y. Yuan (TU Delft - Transport, Mobility and Logistics)

W Daamen (TU Delft - Traffic Systems Engineering)

Research Group
Transport, Mobility and Logistics
DOI related publication
https://doi.org/10.1016/j.ress.2025.111582
More Info
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Publication Year
2025
Language
English
Research Group
Transport, Mobility and Logistics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
265
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Abstract

Evacuation from transportation tools is receiving increasing attention due to its high risk and complexity. However, as a crucial travel mode, high-deck coaches, have been overlooked, lacking a dedicated evacuation model, let alone exploratory simulation analyses. This work proposes an innovative high-deck coach evacuation model framework, where three intertwined modules are developed to separately delineate the strategic, tactical and operational passenger evacuation behaviours. In the strategic behaviour module, the Cox-Weibull hazard duration model is introduced to capture the pre-evacuation times of passengers so that both the distribution characteristics and the dependence on the proximity to the target exit are encapsulated. In the tactical and operational behaviour modules, elaborate behavioural rules are designed and coupled with Cumulative Prospect Theory to comprehensively incorporate the typical behavioural characteristics and decision-making factors of passengers. The framework is validated with empirical data from various scenarios and proven to significantly outperform the state-of-the-art passenger evacuation model. It is found that the CWM substantially improves the prediction accuracy of the framework compared with the Weibull probabilistic distribution. Overtaking behaviour significantly affects passenger evacuations, but does not induce any benefit for the overall system. This study offers valuable tools and insights for high-deck coach evacuation simulation and management.

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