Calculation Method of Crowd Density in the Local Area of Subway Station Platform
Journal Title: Urban Mass Transit - Year 2025, Vol 28, Issue 1
Abstract
［Objective］ The calculation method of crowd density is the key to analyzing the risk of crowd gathering on subway station platforms. Usually, the internal density distribution is uneven when it is crowded, and there are local high-density areas, which are also the key areas where public safety accidents are prone to occur in subway station. Therefore, it is very important to study the calculation method of crowd density in local areas. ［Method］ By analyzing the distribution law of passenger flow on the platform, the time-varying characteristics of the number of people gathered on platforms of various types of stations and the calculation model of the number of people gathered are studied. Based on the aggregation characteristics of passengers at the waiting area of the platform screen door, the aggregation area is corrected by analogy with the arching phenomenon, and a method for calculating the crowd density in the local area of the subway station platform is proposed in combination with the number of people gathered on the platform. Taking a certain subway station as an example, the changes in the number of people gathered on the platform and the pedestrian density within a train running interval are analyzed. ［Result & Conclusion］ Compared with the traditional average density calculation method, the crowd density in the local area calculated by the proposed method is larger, and the change range is more obvious. It is more sensitive to the adjustment of train capacity and the change of passenger flow in and out of the platform, which better reflects the limit situation corresponding to the platform load extreme value and the duration of the high load state. The application of this method in peak hours and other large passenger flow conditions is of great significance.
Authors and Affiliations
Longcan GUO, Mingyu AI, Qi PU
Keywords
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- EP ID EP754981
- DOI 10.16037/j.1007-869x.2025.01.004
- Views 47
- Downloads 0
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