Risky Facilities

2014 ◽  
pp. 4501-4501
Keyword(s):  
Risky Facilities

The geographic concentration of use of force incidents at subway stations mimics the law of crime concentration bandwidths: A research note

2020 ◽  
pp. 0032258X2092809
Author(s):  
Evan T Sorg ◽  
Kimberly A Houser ◽  
Carla Lewandowski ◽  
Natalie Schell-Busey
Keyword(s):  
Use Of Force ◽  
Future Research ◽  
Crime Concentration ◽  
Geographic Concentration ◽  
The Public ◽  
Pertinent Data ◽  
Law Of Crime Concentration ◽  
Risky Facilities ◽  
The Law ◽  
Subway Stations

The Law of Crime Concentration states that a small percent of microplaces will account for large portions of crime. In this research, we demonstrate that police use of force incidents likewise occur at a small percentage of subway stations in Philadelphia, a category of ‘risky facilities’, where crime concentration is also expected. Those percentages mimic the bandwidths of the Law of Crime Concentration. We sketch pertinent data collection needs and future research questions that should be explored if a crime and place perspective is to play a role in understanding and informing policies geared toward reducing the extent to which police use force against the public.

Understanding risky facilities: an analysis of factors associated with jail escapes in eight states

2018 ◽  
Vol 31 (4) ◽  
pp. 805-820 ◽  
Author(s):  
Jacqueline Scott ◽  
Gohar Petrossian ◽  
Jeff Mellow ◽  
Bryce Peterson
Keyword(s):  
Factors Associated ◽  
Risky Facilities

Risky Business: Examining the 80-20 Rule in Relation to a RTM Framework

2020 ◽  
pp. 073401682093885
Author(s):  
Hannah Steinman ◽  
Grant Drawve ◽  
Jyotishka Datta ◽  
Casey T. Harris ◽  
Shaun A. Thomas
Keyword(s):  
Predictive Power ◽  
Environmental Criminology ◽  
Department Stores ◽  
Terrain Modeling ◽  
Forecasting Models ◽  
Risk Terrain Modeling ◽  
Liquor Stores ◽  
Risky Facilities ◽  
Apartment Complexes ◽  
Risky Business

The spatial elements of crime occurrence and the identification of crime generators/attractors have remained a prominent area of research. We focus on the utility of the 80-20 rule and the labeling of risky facilities in crime forecasting models with risk terrain modeling (RTM). We first examine whether the rule holds across types of crime generating places including liquor stores, department stores, hotels/motels, restaurants/bars, and apartment complexes. Next, we use our findings to test whether conducting preliminary analyses to identify risky facilities increases the predictive power of RTM versus using all possible facilities. When restricting the RTM approach to only risky facilities, results were more accurate than a traditional RTM approach. Findings and implications are nested in the utilization of the wider body of environmental criminology research to increase our understanding of where crime is likely to occur.

scholarly journals Geodemographic insights on the COVID-19 pandemic in the State of Wisconsin and the role of risky facilities

GeoJournal ◽  
2021 ◽  
Author(s):  
Tony H. Grubesic ◽  
Jake R. Nelson ◽  
Danielle Wallace ◽  
John Eason ◽  
Sherry Towers ◽  
...  
Keyword(s):  
The State ◽  
Risky Facilities

Siting risky facilities: Probabilism, determinism and beyond

2013 ◽  
Vol 13 (1) ◽  
pp. 44-64 ◽  
Author(s):  
Claudia Basta
Keyword(s):  
Risky Facilities

Riots, Space, and Place

2018 ◽  
Author(s):  
Peter Baudains ◽  
Shane D. Johnson
Keyword(s):  
Decision Making ◽  
Management Practices ◽  
Space And Place ◽  
Units Of Analysis ◽  
Different Types ◽  
High Street ◽  
Spatial Decision Making ◽  
Risky Facilities ◽  
Crime Pattern

This chapter reanalyzes data concerning the 2011 riots in Greater London. The authors extended prior work in a number of directions, using variables more representative of the areas in which rioting took place, using smaller geographical units of analysis, and extending the analysis to examine the role of risky facilities. The results show support for crime pattern and social disorganization theories, as well as the precipitating influence of crowds, in explaining rioter decision-making. In addition, it is shown that different types of facilities appear to have different influences on the spatial decision-making of those engaged in the riots. In explaining these differences, the chapter draws attention to the fact that some facilities are more common on the high street and visited more spontaneously, while others require a more purposeful visit, are likely to provide more guardianship, and are more likely to have formal place management practices.

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