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Related Experiment Video

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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

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Published on: January 20, 2023

Understanding street protests: from a mathematical model to protest management.

Sergei Petrovskii^1,2, Maxim Shishlenin³, Anton Glukhov³

¹School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK.

|April 10, 2025

Summary

This summary is machine-generated.

Mathematical modeling of street protests, like the Yellow Vest Movement, reveals that policing efficiency significantly impacts protest duration and participant numbers. This research aids in understanding and managing public demonstrations.

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Area of Science:

Social Sciences
Computational Social Science
Mathematical Modeling

Background:

Street protests are a historical driver of social change but can cause disruptions and economic losses.
Understanding factors influencing protest duration and size is crucial for societal management.
Mathematical modeling offers an efficient approach to study protest dynamics.

Purpose of the Study:

To develop a novel mathematical model for analyzing street protest dynamics.
To incorporate protester behavior heterogeneity and policing effects into the model.
To validate the model using the 2018-2019 Yellow Vest Movement in France.

Main Methods:

Development of a new mathematical modeling framework.
Inclusion of protester behavior variability.
Integration of policing impact variables.
Case study analysis of the Yellow Vest Movement data.

Main Results:

The model demonstrated strong agreement with empirical data from the Yellow Vest Movement.
A moderate increase in daily police efficiency significantly reduced protest intensity and duration.
Policing strategies can be optimized for protest management.

Conclusions:

The developed model accurately captures key dynamics of street protests.
Policing plays a critical role in modulating protest outcomes.
Findings offer insights for more effective protest management strategies.