Multiagent models for police resource allocation and dispatch

Guedes, Ricardo; Furtado, Vasco; Pequeno, Tarcisio H. C.

doi:10.1109/jisic.2014.57

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…The dynamics of crime and the impact of social relations on the increase of violence has been the object of study in several areas such as Social Sciences [1], Criminology [2][3][4], Computing [5][6][7], Economics [8] and Physics [9][10][11]. When, in the 1950s, Naroll and Bertalanffy [12] utilized the concept of allometry a term originally coined in the field of Biology to describe scaling laws, e.g., the relationship between mass and metabolic rate of organisms [13] so as to adapt it to the social context, a particularly promising line of research was opened, which today arouses interest of scientists from wide-ranging areas [9,14,15].…”

Section: Introductionmentioning

confidence: 99%

Human mobility in large cities as a proxy for crime

et al. 2017

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We investigate at the subscale of the neighborhoods of a highly populated city the incidence of property crimes in terms of both the resident and the floating population. Our results show that a relevant allometric relation could only be observed between property crimes and floating population. More precisely, the evidence of a superlinear behavior indicates that a disproportional number of property crimes occurs in regions where an increased flow of people takes place in the city. For comparison, we also found that the number of crimes of peace disturbance only correlates well, and in a superlinear fashion too, with the resident population. Our study raises the interesting possibility that the superlinearity observed in previous studies [Bettencourt et al., Proc. Natl. Acad. Sci. USA 104, 7301 (2007) and Melo et al., Sci. Rep. 4, 6239 (2014)] for homicides versus population at the city scale could have its origin in the fact that the floating population, and not the resident one, should be taken as the relevant variable determining the intrinsic microdynamical behavior of the system.

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Section: Introductionmentioning

confidence: 99%

Human mobility in large cities as a proxy for crime

et al. 2017

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“…Particularly, the routine activity theory, proposed by Cohen and Felson [8], states that crimes, more specifically property crimes, such as robbery and theft, occur by the convergence of the routines of an offender, motivated to commit a crime, and an unprotected victim. The dynamics of crime and the impact of social relations on the increase of violence has been the object of study in several areas such as Social Sciences [10], Criminology [8,9,11], Computing [12][13][14][15][16][17], Economics [18] and Physics [19][20][21][22][23][24][25]. There are also a number of papers that use simulations in Criminology in order to test theories [26]; to study burglary including transportation network and statistical based human mobility patterns along the network [27]; to analyze police patrol routes [28].…”

Section: Related Workmentioning

confidence: 99%

Towards Understanding the Impact of Crime on the Choice of Route by a Bus Passenger

Sullivan

Caminha

Melo

et al. 2017

Progress in Artificial Intelligence

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Abstract. In this paper we describe a simulation platform that supports studies on the impact of crime on urban mobility. We present an example of how this can be achieved by seeking to understand the effect, on the transport system, if users of this system decide to choose optimal routes of time between origins and destinations that normally follow. Based on real data from a large Brazilian metropolis, we found that the percentage of users who follow this policy is small. Most prefer to follow less efficient routes by making bus exchanges at terminals. This can be understood as an indication that the users of the transport system privilege the security factor.

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“…References [2] and [6] developed a study with similar goals we have here. They investigated several strategies for resource allocation and dispatch and conclude that serving first those calls with low estimated attendance times delivers the best overall performance in terms of waiting time.…”

Section: A Multiagent Systems For Police Dispatchmentioning

confidence: 99%

Multi-objective evolutionary algorithms and multiagent models for optimizing police dispatch

Guedes

Furtado

Pequeno

2015

2015 IEEE International Conference on Intelligence and Security Informatics (ISI)

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In this article we investigate Multi-agent simulation and Multi-objective Evolutionary Algorithms for optimizing resource allocation in Public Safety. We describe a tool that helps Law Enforcement authorities to evaluate, in a controlled environment, different strategies for allocating and dispatching resources, aiming at reducing conflicting goals such as response time, the number of unattended calls and cost of displacement of police cars. This tool is a multi-agent model to represent police cars that lives in a grid in which emergency occurrences appear. A comparison of the strategies for resource dispatch in this environment shows that serving first those calls with low estimated attendance times delivers the best overall performance in terms of waiting time. However this is practically impossible since prioritization of certain crime types is necessary leading to the increase of the waiting time in the queue. Instead of manually trying to identify the best allocation strategy to apply, we have coupled a multi-objective evolutionary algorithm to the simulation model in order to uncover automatically a function to rank the calls in the best order for attendance satisfying multiple and sometimes conflicting goals.

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Multiagent models for police resource allocation and dispatch

Cited by 9 publications

References 3 publications

Human mobility in large cities as a proxy for crime

Human mobility in large cities as a proxy for crime

Towards Understanding the Impact of Crime on the Choice of Route by a Bus Passenger

Multi-objective evolutionary algorithms and multiagent models for optimizing police dispatch

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