"Nudging" Crowds: When It Works, When It Doesn't and Why

被引:0
作者
Feliciani, Claudio [1 ,2 ]
Tanida, Sakurako [1 ,2 ]
Furukawa, Masahiro [3 ]
Murakami, Hisashi [4 ]
Jia, Xiaolu [1 ,2 ]
Brscic, Drazen [5 ]
Nishinari, Katsuhiro [1 ,2 ]
机构
[1] Univ Tokyo, Res Ctr Adv Sci & Technol, Tokyo 1538904, Japan
[2] Univ Tokyo, Grad Sch Engn, Dept Aeronaut & Astronaut, Tokyo 1138656, Japan
[3] Osaka Univ, Grad Sch Informat Sci & Technol, Osaka 5650871, Japan
[4] Kyoto Inst Technol, Fac Informat & Human Sci, Kyoto 6068585, Japan
[5] Kyoto Univ, Grad Sch Informat, Kyoto 6068501, Japan
来源
TRAFFIC AND GRANULAR FLOW 2022, TGF 2022 | 2024年 / 443卷
关键词
crowd steering; nudging; collective interactions; crowd control; guidance;
D O I
10.1007/978-981-99-7976-9_2
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In recent years, there has been as substantial technological improvement in pedestrian detection and numerical modeling. Yet, crowd steering is still based on constructional changes or on-site guidance with little automation. In this work, we investigate the possibility of using environmental stimuli to modify (collective) behavior or people. Three different scenarios are considered where steering method, interaction time (with the surrounding environment) and crowd density are changed. Results show that simple changes in land- and soundscape are not sufficient to modify human route choice in a familiar environment such when entering an office building. However, using supervised experiments we showed that when crowd density is sufficiently high, interaction time login enough and the context "neutral", it is possible to "nudge" people into a more efficient motion. The outcomes of this work may help in the development of steering systems to be used in sparse crowds with minimal constructional intervention at the scope to reduce congestion and delay the occurrence of dangerous situations.
引用
收藏
页码:11 / 18
页数:8
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