Ranking and Analysis the Strategies of Crowd Management to Reduce the Risks of Crushes and Stampedes in Crowded Environments and Ensure the Safety of Passengers

Waleed Tawfiq Al-Nami
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Abstract

Public gatherings, transit hubs, stadiums, and crowded retail malls are just a few examples of places where crowd management has become an urgent issue in recent years. Effective crowd management strategies have been required due to the increasing population, urbanization, and frequency of large-scale meetings. These strategies are used in dynamic, sometimes chaotic circumstances to protect people and facilitate their free movement. The purpose of this study is to analyze and rank various strategies for crowd management to reduce risks of crushes and stampedes, improve security, and facilitate smoother traffic flow. This study used the single-valued neutrosophic set to deal with uncertain and vague information in the evaluation process. There are various factors in ranking the various strategies. So, the concept of multi-criteria decision-making (MCDM) is used to deal with various criteria. The neutrosophic set integrated with the MCDM methodologies to rank various strategies. This study used the analytical hierarchy process (AHP) method to compute the weights of factors. Then the technique for order preference by similarity to the ideal solution (TOPSIS) method is used to rank the various strategies. An application was conducted to apply the proposed method. The outcome shows the safety and security factor is the heights important. The sensitivity analysis is applied to show the rank of strategies under various weights of factors. Finally, the comparative analysis is applied to show the robustness of the proposed method compared with other MCDM methods.
人群管理策略的排序与分析,以降低拥挤环境中踩踏事故的风险,确保乘客的安全
公共集会、交通枢纽、体育场馆和拥挤的零售商场只是近年来人群管理成为紧迫问题的几个例子。由于人口增长、城市化和大型会议的频繁,需要有效的人群管理策略。这些策略用于动态的、有时是混乱的环境中,以保护人民并促进他们的自由行动。本研究的目的是分析和排名各种人群管理策略,以减少碰撞和踩踏的风险,提高安全性,并促进更顺畅的交通流量。本研究采用单值嗜中性集来处理评价过程中的不确定和模糊信息。在对各种策略进行排序时,有各种各样的因素。因此,采用多准则决策(MCDM)的概念来处理各种准则。中性粒细胞集与MCDM方法相结合,对各种策略进行排序。本研究采用层次分析法(AHP)计算各因子的权重。然后利用理想解相似性排序偏好法(TOPSIS)对各种策略进行排序。并对该方法进行了应用。结果表明,安全保障因素是高度重要的。运用敏感性分析方法,对不同因素权重下的策略排序进行了分析。最后,通过对比分析证明了该方法与其他MCDM方法的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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