Social Work and Technology: Using Geographic Information Systems to Leverage Community Development Responses to Hate Crimes

Dunlop, James M.; Chechak, Derek; Hamby, William J.; Holosko, Michael J.

doi:10.1080/15228835.2021.1931635

Cited by 1 publication

(2 citation statements)

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“…(2022) discusses the role of the PGIS method in Chinese policing practice, which includes human resource allocation, police command, assembly security and geographic analysis in criminal investigations. In addition, PGIS methods can also be applied to hate crime prevention and crime area mapping (Dunlop et al. , 2021; Bako et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…He et al (2022) discusses the role of the PGIS method in Chinese policing practice, which includes human resource allocation, police command, assembly security and geographic analysis in criminal investigations. In addition, PGIS methods can also be applied to hate crime prevention and crime area mapping (Dunlop et al, 2021;Bako et al, 2021). In addition, de Miranda Mota and de Figueiredo (2021) focus on the combination of PGIS and MCDA methods and have identified homicide prone areas in Brazil.…”

Section: Literature Reviewmentioning

confidence: 99%

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Police resource distribution in China: spatial decision making based on PGIS-MCDA method

Zhang

Jiang

et al. 2022

PIJPSM

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PurposeBased on the theoretical viewpoints of criminal geography and environmental criminology, this research uses spatial multi-criteria decision-making methods. In the process of spatial decision-making and optimization of police resources, researchers fully consider the dynamic application of Geographic Information System (GIS) and the effects of spatial prevention and control.Design/methodology/approachResearchers use an integrated method combining Policing Geographic Information System (PGIS) and multi-criteria decision analysis (MCDA). On the one hand, police GIS has an excellent visual data analysis platform and integrated decision support system in data management, spatial analysis, data exploration and regression analysis. On the other hand, through the design of the indicator system, the quantification of indicators, the determination of weights, comprehensive evaluation and sensitivity analysis, MCDA can select the best plan from a large number of alternatives. When joining MCDA, the spatial dimension will bring the research results closer to the real world.FindingsThe study finds that the crime of burglary is affected to a certain extent by the distribution of police forces, the location of police units. Another important finding of this research is the correlation between more precise preventive measures and the crime of burglary.Originality/valueFrom a practical point of view, this research would help advance the role of police units and law enforcement agencies in preventing burglary crimes and provide experience for the allocation of regional police resources.

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Section: Literature Reviewmentioning

confidence: 99%