Risk Prevention and Control Strategies of Large Passenger Flow in Railway Passenger Stations

Ziqi Zhang and Juanqiong Gou ()
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Ziqi Zhang: Beijing Jiaotong University
Juanqiong Gou: Beijing Jiaotong University

A chapter in LISS 2024, 2025, pp 395-404 from Springer

Abstract: Abstract With the continuous rise of railroad passenger traffic, the phenomenon of heavy passenger flow has become more and more common in railroad passenger stations, which brings serious challenges to the safe operation of passenger stations. In order to alleviate the unexpected heavy passenger flow events, this paper proposes the risk prevention and control strategy of heavy passenger flow in railroad passenger stations, and establishes the risk prevention and control model by collecting data from different sources, including two major models, namely, risk assessment and early warning model and human-computer collaborative decision-making support model, which combines the risk early warning with the human-computer collaborative decision-making to provide a new perspective for the risk prevention and control of heavy passenger flow in railroad passenger stations, and provides a useful reference for the practical application, and is of great help to improve the quality and safety of railway passenger transportation services. Railroad passenger transportation service quality and safety level has important help.

Keywords: heavy traffic; artificial intelligence; risk assessment; early warning; collaborative decision making (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-981-96-9697-0_31

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