Special Issue on Crowd Management and its Applications

IF 0.7 Q4 GEOSCIENCES, MULTIDISCIPLINARY Journal of Disaster Research Pub Date : 2024-04-01 DOI:10.20965/jdr.2024.p0237
K. Nishinari, Ken-ichi Tanaka
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Abstract

This special issue summarizes the research findings of the “Crowd Control Adaptive to Individual and Group Attributes” project, which is selected as a full-scale research project under the “Development of the Crisis Navigator for Individuals” prioritized theme of the JST Mirai Program.* Despite the lingering memory of the 2022 crowd accident in Itaewon, South Korea, similar accidents have occurred worldwide, including the firework display in Akashi, Japan, and the Love Parade in Germany. Addressing this social issue is imperative. To significantly reduce the risk of crowd accidents, this project aimed to elucidate the mechanism underlying human flow stagnation and establish a method to effectively guide the flow of people. Our approach involves creating a mathematical model that can estimate the flow of people by considering individual and group attributes, such as wheelchair and group behavior, to accurately predict flow stagnation. Based on these predictions, we developed a system that provides individuals with information on movement and utilizes technology to guide crowd flow, drawing principles from game theory and nudge theory. This system is characterized by integrating information on human flow, environmental factors, simulation results for predicting future conditions, and crowd control measures within the Crowd Management Platform as a Service (CMPaaS). Furthermore, we conducted demonstration tests at shopping malls, train stations, and event venues, and found that it offers valuable guidance to achieve risk reduction effects at real-world sites. In this special issue, the first paper presents an overview of the newly created crowd management platform. Thereafter, it is organized into 16 articles presenting current research results categorized under Simulation, Theory, Control, Experiment, and Data Analysis, followed by a note on visitor trajectories in indoor facilities. We anticipate that the outcomes of this study will facilitate interdisciplinary research in this field and promote the social implementation of crowd management platforms to prevent crowd accidents, thus creating a society where everyone can move safely, securely, comfortably, and efficiently. * Mirai means “Future” in Japanese. The program is administered by the Japan Science and Technology Agency (JST) and funded by the Ministry of Education, Culture, Sports, Science and Technology (MEXT).
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人群管理及其应用特刊
本特刊总结了 "适应个人和群体属性的人群控制 "项目的研究成果,该项目被选为 JST Mirai 计划 "面向个人的危机导航仪开发 "优先主题下的全面研究项目*。尽管人们对 2022 年韩国梨泰院的人群事故记忆犹新,但类似事故在世界各地也时有发生,包括日本明石的烟花表演和德国的爱的游行。解决这一社会问题势在必行。为了大幅降低人群事故的风险,本项目旨在阐明人流停滞的内在机制,并建立一种有效引导人流的方法。我们的方法包括创建一个数学模型,通过考虑个人和群体属性(如轮椅和群体行为)来估算人流,从而准确预测人流停滞。在这些预测的基础上,我们借鉴博弈论和推力理论的原理,开发了一套系统,为个人提供移动信息,并利用技术引导人流。该系统的特点是将人流信息、环境因素、预测未来状况的模拟结果以及人群控制措施整合到人群管理平台即服务(CMPaaS)中。此外,我们还在购物中心、火车站和活动场所进行了演示测试,发现它为在现实世界中实现降低风险的效果提供了有价值的指导。在本特刊中,第一篇论文概述了新创建的人群管理平台。随后,本特刊将分为 16 篇文章,按照模拟、理论、控制、实验和数据分析等分类介绍当前的研究成果,最后还将对室内设施中的游客轨迹进行说明。我们期待本研究的成果能够促进该领域的跨学科研究,推动人群管理平台的社会实施,防止人群事故的发生,从而创造一个人人都能安全、可靠、舒适、高效地行动的社会。* Mirai 在日语中意为 "未来"。该计划由日本科学技术振兴机构(JST)管理,并由文部科学省(MEXT)提供资助。
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来源期刊
Journal of Disaster Research
Journal of Disaster Research GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
37.50%
发文量
113
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