Research on the Renovation of Comprehensive Hub Stations and Passenger Flow Dispersal Based on Queuing Theory

DOI

10.2991/978-94-6239-703-3_14How to use a DOI?

Keywords

Passenger flow evacuation; Queuing theory; Engineering renovation; Anylogic; Large passenger flow

Abstract

With the increasing population density in popular cities and the surge in new tourist flows driven by short-video platforms, passenger volumes at major high-speed rail hubs have risen continuously, especially during holidays, posing challenges for emergency evacuation. Taking Beijing South Railway Station as a case study, the turnstile area in the subway transfer zone was identified as the primary bottleneck, where pseudo-queuing phenomena occur. Queuing theory was applied to model the system, with the number of turnstiles as the key optimization variable to reduce evacuation time. The results show that increasing the turnstiles to 12 reduces the evacuation time from 350.74 s to 317.94 s, a significant improvement of approximately 9.4%. The theoretical predictions align well with simulation results, with errors ranging from 1.91% to 4.99%. This model provides valuable insights for the emergency design and renovation of comprehensive transport hubs.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yuanming Wang
AU  - Zhiqiang Rao
PY  - 2026
DA  - 2026/06/08
TI  - Research on the Renovation of Comprehensive Hub Stations and Passenger Flow Dispersal Based on Queuing Theory
BT  - Proceedings of the 2026 2nd International Conference on Engineering Management and Safety Engineering (EMSE 2026)
PB  - Atlantis Press
SP  - 153
EP  - 162
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-703-3_14
DO  - 10.2991/978-94-6239-703-3_14
ID  - Wang2026
ER  -