Public disorder and transport networks in the Latin American context

Carlos Cartes*, Toby P. Davies

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)


We propose an extension of the Davies et al. model, used to describe the London riots of 2011. This addition allows us to consider long travel distances in a city for potential rioting population. This is achieved by introducing public transport networks, which modifies the perceived travel distance between the population and likely targets. Using this more general formulation, we applied the model to the typical Griffin and Ford pattern for population distribution to describe the general features of most large Latin American cities. The possibility of long-range traveling by part of the general population has, for an immediate consequence, the existence of isolated spots more prone to suffer from rioting activity, as they are easier to reach than the rest of the city. These areas finally made it easier to control the eventual disorder by part of police forces. The reason for this outcome is that transport networks turn riots into highly localized and intense events. They are attracting a large police contingent, which will later extinguish the remaining disorder activity on the rest of the city. Therefore, working transport networks in a city effectively reduces the number of police force contingent required to control public disorder. This result, we must remark, is valid only if the model requisites for order forces are satisfied: extra police contingent can be added swiftly as required, and these forces can move around the city with total freedom.

Idioma originalInglés
Número de artículo111567
PublicaciónChaos, Solitons and Fractals
EstadoPublicada - dic. 2021

Nota bibliográfica

Funding Information:
C.C. wishes to acknowledge the support of FONDECYT (CL), No. 1200357 and Universidad de los Andes (CL) through FAI initiatives.

Publisher Copyright:
© 2021 Elsevier Ltd

Palabras clave

  • Riots
  • Simulation
  • Social
  • Transport


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