The Use of a Decision Support System to Aid a Location Problem Regarding a Public Security Facility

Gusmão, Ana Paula Henriques de; Pereira, Rafaella Maria Aragão; Silva, Maísa Mendonça; Borba, Bruno Ferreira da Costa

doi:10.1007/978-3-030-18819-1_2

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…In that last issue, ULS location has led a particular attention in literature [26][27][28], relying on the well-known Facility Location Problem (FLP, [29]), and its different variants [30,31]. This problem consists in determining the ideal geographical location to position the facilities [32]. When designing the most suitable transport networks for urban freight distribution, it is important to define both the platform location and the elements of the transport system such as the vehicles and the routing/organizational issues [23].…”

Section: Related Literaturementioning

confidence: 99%

Location of Urban Logistics Spaces (ULS) for Two-Echelon Distribution Systems

Ruiz-Meza

Meza-Peralta

Montoya‐Torres

et al. 2021

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The main concern in city logistics is the need to optimize the movement of goods in urban contexts, and to minimize the multiple costs inherent in logistics operations. Inspired by an application in a medium-sized city in Latin America, this paper develops a bi-objective mixed linear integer programming (MILP) model to locate different types of urban logistics spaces (ULS) for the configuration of a two-echelon urban distribution system. The objective functions seek to minimize the costs associated with distance traveled and relocation, in addition to the costs of violation of time windows. This model considers heterogeneous transport, speed assignment, and time windows. For experimental evaluation, two operational scenarios are considered, and Pareto frontiers are obtained to identify the efficient non-dominated solutions to select the most feasible ones from such a set. A case study of a distribution company of goods for supermarkets in the city of Barranquilla, Colombia, is also used to validate the proposed model. These solutions allow decision-makers to define the configuration of ULS networks for urban product delivery.

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Section: Related Literaturementioning

confidence: 99%

Location of Urban Logistics Spaces (ULS) for Two-Echelon Distribution Systems

Ruiz-Meza

Meza-Peralta

Montoya‐Torres

et al. 2021

Axioms

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“…Our methodology relies on recent advances in conditional frontier analysis used with a traditional PROMETHEE methodology for outranking decision units. Some assessments of crime and policing in Pernambuco used statistical, multicriteria, and geospatial tools for ranking, clustering, and classifying units and regions according to the vulnerability to homicides [32][33][34], preference learning [35,36], property crimes [37,38], and investigating the violent behavior in Pernambuco [39]. Despite providing valuable support for policymakers, to the best of our knowledge, ranking regions or police units for public security purposes based on a multicriteria combination of nonparametric robust estimators for technical efficiency with measures for effectiveness of results were not featured in the current literature.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Ranking for the Efficient and Effective Assessment of Police Departments

2021

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The nonparametric assessment of police efficiency and effectiveness is challenging due to the stochastic nature of criminal behavior and the subjective dependence on multiple decision criteria, leading to different prospects depending on the regulation, necessity, or organizational objective. There is a trade-off between sustainable efficiency and effectiveness in many police performance assessments, because many departments can be crime-specialized or cannot reproduce good results effectively on more severe or complex occurrences. This study aims to provide a non-compensatory ranking classification combining Conditional Frontier Analysis with the PROMETHEE II methodology for the multidimensional efficiency and effectiveness analysis of police. The results on Pernambuco (Brazil) Police departments offer interesting perspectives for public administrations concerning prioritizations of units based on the mitigation of resources and strategic objectives.

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“…In this paper, we combine the Full Disposal Hull (FDH) [20] directional efficiency measure for policing conditional to crime as an exogenous factor with the PROMETHEE outranking for a complete classification of Pernambuco's municipalities based on the efficiency of each police department in solving three types of crimes violent crimes (CVLI), street robberies (mugging) and carjack (or more generally motor vehicle theft and robbery) using officers as input and based on the effectiveness of reaching Pact for Life state goal on reducing homicides [5,21,22]. Some assessments of crime and policing in Pernambuco has used multicriteria and geospatial tools for ranking, clustering and classifying units and regions according to the vulnerability to homicides [23,24,25], preference learning [26,27], and property crimes [28,29]. Despite providing valuable support for policymakers, to the best of our knowledge, ranking regions or police units for public security purposes based on a multicriteria combination of Nonparametric Robust Estimators for the technical efficiency with measures for effectiveness of results is not featured in the current literature.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Ranking for Police Efficient and Effective Analysis

Nepomuceno¹,

Daraio²,

Costa³

2020

Preprint

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Nonparametric assessments of police technical and scale efficiency is challenging because of the stochastic nature of criminal behavior and because of the subjective dependence on multiple decision criteria, which can lead to a more or less efficiency prospect depending on the regulation, necessity, or organizational objective. There is a trade-off between efficiency and effectiveness in many police performance assessments, i.e., efficient departments (producing more clear-ups with a given resource) are crime-specialized or cannot reproduce those good results effectively on more severe or complex occurrences. This study proposes a combined methodology for carrying out efficiency and effectiveness analysis of Police departments. A conditional non-parametric approach, which allows to include crime as an external factor in the analysis, is combined with a non-compensatory ranking based on the PROMETHEE II methodology for the approach illustrated on the multidimensional efficiency and effectiveness comparison of 145 Pernambuco (Brazil)'s police departments. The application results offer compelling perspectives for public administrations concerning the strategic prioritization of units for rewards or interventions.

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The Use of a Decision Support System to Aid a Location Problem Regarding a Public Security Facility

Cited by 7 publications

References 14 publications

Location of Urban Logistics Spaces (ULS) for Two-Echelon Distribution Systems

Location of Urban Logistics Spaces (ULS) for Two-Echelon Distribution Systems

Multicriteria Ranking for the Efficient and Effective Assessment of Police Departments

Multicriteria Ranking for Police Efficient and Effective Analysis

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