Editorial:
Special Issue on Crowd Management and its Applications
Katsuhiro Nishinari* and Ken-ichi Tanaka**
*Professor, School of Engineering, The University of Tokyo
Bunkyo-ku, Tokyo, Japan
**Program Officer, Japan Science and Technology Agency
Chiyoda-ku, Tokyo, Japan
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).
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.