Investigating Visitors’ Perceptions and Behaviors in a Crowded Situation at a Large-Scale Exhibition

Author:

Kim Hyerin1ORCID,Feliciani Claudio23ORCID,Tanida Sakurako23ORCID,Jia Xiaolu23ORCID,Aikoh Tetsuya1ORCID,Shoji Yasushi1ORCID,Nishinari Katsuhiro23ORCID

Affiliation:

1. Research Faculty of Agriculture, Hokkaido University, Kita 9, Nishi 9, Kita-ku, Sapporo, Hokkaido 060-8589, Japan

2. Department of Aeronautics and Astronautics, School of Engineering, The University of Tokyo, Tokyo, Japan

3. Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan

Abstract

Understanding how visitors respond to crowding is crucial for ensuring the success, safety, and overall enjoyment of large-scale exhibitions. However, despite its significance, limited research has explored this issue. To address this gap, we conducted a questionnaire survey in 2022 and 2023 for visitors to exhibitions held at the Tokyo Big Sight Convention Center. Our research aims to explore the level of consistency between perceived and actual crowding, levels of discomfort in crowded situations, tolerance levels for crowding, and behaviors to avoid crowded situations. The results revealed significant changes in visitor perceptions across the two-year period. Notably, the acceptable crowd density in 2023 increased by 13% compared to 2022. This change in level of tolerance for crowding might have been influenced by the COVID-19 pandemic and other contextual factors that altered visitors’ perceptions toward crowding. Interestingly, despite these perceptual changes, behaviors to avoid crowded situations remained consistent across both years. The most common response was that no special action was taken to avoid crowded situations. These findings underscore that perceptions and behaviors related to crowding in the context of large-scale exhibitions are not uniform. Our findings offer several implications and insights for crowd management, which event organizers can use to devise strategies aimed at enhancing visitors’ experiences and effectively managing crowding in large-scale exhibitions.

Funder

Japan Science and Technology Agency

Publisher

Fuji Technology Press Ltd.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3