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Classifying the integrated public safety areas (IPSAs): a multi-criteria based approach

Marcio Pereira Basilio (Department of Production Engineering, Fluminense Federal University, Niterói, Brazil)
Valdecy Pereira (Department of Production Engineering, Fluminense Federal University, Niterói, Brazil)
Helder Gomes Costa (Department of Production Engineering, Fluminense Federal University, Niterói, Brazil)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 11 February 2019

Issue publication date: 11 February 2019




This study aims to focus on the application of a multiple criteria decision analysis (MCDA) method to compare results presented by the Integrated Goals System based on the 12th edition of the Integrated Public Safety Areas (IPSAs) Award, which achieved goals established for Strategic Crime Indicators for the state of Rio de Janeiro, Brazil. The main objective of this research was to limit the compensatory effects of classification criteria on IPSAs that have achieved goals established for crime indicators by applying the MCDA method.


The methodology was based on the application of MCDA. The MCDA method selected and used was ELECTRE III, being implemented by J-Electre software.


Compared to results of the current method, the results of the ELECTRE III method showed a 94.87 per cent change in ranking positions revealed via the SIM method. This finding denotes the elimination of compensatory effects of the criteria. As a consequence, it can be affirmed that the application of resources by IPSA managers to reduce the prevalence of a single strategic crime indicator is no longer a success factor for awarding in the established goal system.

Research limitations/implications

As limitations, it is possible to indicate the time cut used to carry out the research. The research may be extended to other issues of the productivity award.

Practical implications

The methodology applied with the use of ELECTRE III revealed that the government could reduce the cost with the incentive program to reduce criminal indices.

Social implications

As the MCDA method is based on a binary pairwise comparison system, the methodology imposes a change of attitude on local managers fighting crime to reduce crime indicators and to consequently build a local sense of safety in IPSAs.


This research fills a gap in the literature because there are few studies using the MCDA method in the field of public security. The value of the work lies in the creation of a method that gives the decision-maker, of the law enforcement agency, an alternative to improve the process of rewarding by productividad of the integrated areas of public security.



Basilio, M.P., Pereira, V. and Costa, H.G. (2019), "Classifying the integrated public safety areas (IPSAs): a multi-criteria based approach", Journal of Modelling in Management, Vol. 14 No. 1, pp. 106-133.



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