Shang Huayan, Yang Yan, Huang Hai-Jun, Mao Junzhu
School of Management and Engineering, Capital University of Economics and Business, Beijing, 100070, China.
School of Management and Engineering, Capital University of Economics and Business, Beijing, 100070, China.
Accid Anal Prev. 2025 Sep;220:108170. doi: 10.1016/j.aap.2025.108170. Epub 2025 Jul 28.
Frequent escalator-related incidents in subway stations have prompted the authorities to promote the use of public stairs. In daily life, however, pedestrians instinctively prefer to take escalators rather than use stairs. How to better induce pedestrians to choose stairs? It is necessary to reveal the internal mechanism of pedestrian choice. In this paper, we propose a dynamic model of pedestrian flow assignment with hierarchical choices of various facilities in the station. The route choices of facilities are at the tactical level while the path choices of walking directions are at the operational level. A case study in Beijing is conducted to verify the model. It is shown that the lengths of escalators and stairs, escalator speed, and the pedestrian distribution have significant influences on pedestrians' choice behavior. Long and fast escalators attract more pedestrians and lead to severe crowding at the entrance. Thus, escalator segmentation is suggested for safety. This study can help prevent accidents and manage crowds in busy subway stations.
地铁站频繁发生的与自动扶梯相关的事故促使当局推广使用公共楼梯。然而在日常生活中，行人本能地更喜欢乘坐自动扶梯而不是使用楼梯。如何更好地引导行人选择楼梯呢？有必要揭示行人选择的内在机制。在本文中，我们提出了一个行人流量分配的动态模型，该模型考虑了车站内各种设施的分层选择。设施的路线选择处于策略层面，而行走方向的路径选择处于运营层面。在北京进行了案例研究以验证该模型。结果表明，自动扶梯和楼梯的长度、自动扶梯速度以及行人分布对行人的选择行为有显著影响。长且快的自动扶梯吸引更多行人，导致入口处拥挤严重。因此，建议对自动扶梯进行分段以确保安全。本研究有助于预防繁忙地铁站的事故并进行人群管理。
