Loading...
Publication
Mapeamento de áreas críticas na 3ª Divisão Policial do COMETLIS: prevenção da condução sob efeito de álcool com um modelo de risco de terreno.
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 4.89 MB | Adobe PDF |
Authors
Abstract(s)
A presente dissertação de mestrado analisa a aplicabilidade de um Modelo de Risco de
Terreno (RTM) na 3.ª Divisão Policial do COMETLIS com vista à prevenção e combate
do crime de condução de veículo em estado de embriaguez. Partindo do princípio de que
o crime não ocorre de forma aleatória no tempo e no espaço, realizou-se um
enquadramento teórico sustentado nas teorias da criminologia ambiental, onde se
integraram as teorias das atividades rotineiras, dos padrões criminais, da escolha racional
e ainda da dissuasão. Através do software RTMDx, que se baseou nos dados históricos de
detenções e na georreferenciação dos fatores de risco, foram gerados mapas que
evidenciaram os locais de maior risco de incidência do crime em análise, demonstrando
que existe uma relação entre o ambiente e a prática do crime. Confrontaram-se as áreas
de intervenção prioritária geradas pelo software com os locais onde a PSP realiza as suas
operações de modo a perceber se existiam áreas de intervenção prioritária sem qualquer
tipo de Operação de Fiscalização de Trânsito e ainda foram tidos em consideração dados
do SEI, fornecidos pela PSP, para a sugestão de novos locais para realizar estas operações.
Concluiu-se que o RTM é uma ferramenta com potencial para orientar e otimizar os
recursos policiais, permitindo localizar as Operações de Fiscalização de Trânsito de forma
mais precisa e eficiente. A presente investigação reforça a importância de serem
integrados dados do ambiente espacial, estatísticos e teóricos para uma abordagem mais
eficiente e eficaz ao crime de condução sob o efeito do álcool.
This master's thesis analyses the applicability of a Terrain Risk Model (RTM) in the 3rd Police Division of COMETLIS with a view to preventing and combating the crime of drunk driving. Based on the principle that crime does not occur randomly in time and space, a theoretical framework was developed based on the theories of environmental criminology, which included the theories of routine activities, criminal patterns, rational choice and deterrence. Using the RTMDx software, which was based on historical arrest data and the georeferencing of risk factors, maps were generated that showed the places most at risk of the crime being analysed, demonstrating that there is a relationship between the environment and the practice of crime. The priority intervention areas generated by the software were compared with the locations where the PSP carries out its operations in order to see if there were any priority intervention areas without any type of Traffic Enforcement Operation, and SEI data provided by the PSP was also taken into account in order to suggest new locations to carry out these operations. It was concluded that the RTM is a tool with the potential to guide and optimise police resources, allowing Traffic Enforcement Operations to be located more precisely and efficiently. This research reinforces the importance of integrating spatial, statistical and theoretical data for a more efficient and effective approach to drink-driving offences.
This master's thesis analyses the applicability of a Terrain Risk Model (RTM) in the 3rd Police Division of COMETLIS with a view to preventing and combating the crime of drunk driving. Based on the principle that crime does not occur randomly in time and space, a theoretical framework was developed based on the theories of environmental criminology, which included the theories of routine activities, criminal patterns, rational choice and deterrence. Using the RTMDx software, which was based on historical arrest data and the georeferencing of risk factors, maps were generated that showed the places most at risk of the crime being analysed, demonstrating that there is a relationship between the environment and the practice of crime. The priority intervention areas generated by the software were compared with the locations where the PSP carries out its operations in order to see if there were any priority intervention areas without any type of Traffic Enforcement Operation, and SEI data provided by the PSP was also taken into account in order to suggest new locations to carry out these operations. It was concluded that the RTM is a tool with the potential to guide and optimise police resources, allowing Traffic Enforcement Operations to be located more precisely and efficiently. This research reinforces the importance of integrating spatial, statistical and theoretical data for a more efficient and effective approach to drink-driving offences.
Description
Keywords
álcool criminologia ambiental fatores de risco modelo de risco de terreno operações de fiscalização de trânsito alcohol environmental criminology risk factors risk terrain modeling traffic enforcement operations