ArticleJournal of the Royal Society, Interface2019
Lévy walk process in self-organization of pedestrian crowds.
Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 53 citations in OpenAlex.
- Assessing pedestrian responses to autonomous and personal mobility robots in crowded public spaces.Science advances · 2026Article
- Individual locomotor bias drives counterclockwise motion in pedestrian crowds.Nature communications · 2026Article
- Order-disorder transition in multidirectional crowds.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment.Scientific reports · 2025Article
- Emergence of social phases in human movement.Physical review. E · 2024Article
- Robust spatial self-organization in crowds of asynchronous pedestrians.Journal of the Royal Society, Interface · 2024Article
- Functional duality in group criticality via ambiguous interactions.PLoS computational biology · 2023Article
- Spontaneous behavioral coordination between avoiding pedestrians requires mutual anticipation rather than mutual gaze.iScience · 2022Article
- Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment.IEEE journal of selected topics in signal processing · 2022Article
- A single-agent extension of the SIR model describes the impact of mobility restrictions on the COVID-19 epidemic.Scientific reports · 2021Article
- Mutual anticipation can contribute to self-organization in human crowds.Science advances · 2021Article
- Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Similar to other animal groups, human crowds exhibit various collective patterns that emerge from self-organization. Recent studies have emphasized that individuals anticipate their neighbours' motions to seek their paths in dynamical pedestrian flow. This path-seeking behaviour results in deviation of pedestrians from their desired directions (i.e. the direct path to their destination). However, the strategies that individuals adopt for the behaviour and how the deviation of individual movements impact the emergent organization are poorly understood. We here show that the path-seeking behaviour is performed through a scale-free movement strategy called a Lévy walk, which might facilitate transition to the group-level behaviour. In an experiment of lane formation, a striking example of self-organized patterning in human crowds, we observed how flows of oppositely moving pedestrians spontaneously separate into several unidirectional lanes. We found that before (but not after) lane formation, pedestrians deviate from the desired direction by Lévy walk process, which is considered optimal when searching unpredictably distributed resources. Pedestrians balance a trade-off between seeking their direct paths and reaching their goals as quickly as possible; they may achieve their optimal paths through Lévy walk process, facilitating the emergent lane formation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.