Examination of police dosage in residential burglary and residential theft from vehicle micro-time hot spots

Santos, Rachel Boba; Santos, Roberto G.

doi:10.1186/s40163-015-0041-6

Cited by 22 publications

(16 citation statements)

References 27 publications

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“…In a series of recent studies by Robert and Rachel Santos, a crime analysis approach akin to near repeat analysis has emerged to direct tactical police responses to micro-time hot spots, or crime "flare ups", of residential burglary and thefts from vehicles. This line of research comes from an ex post facto quasi-experimental study in Port St. Lucie, Florida where a micro-time hot spot was operationalized as (1) two or more crimes; (2) occurring from one to 14 days of another; and (3) within a .79 square mile radius (Santos & Santos, 2015a, 2015b, 2015c. The authors contend that micro-time hot spots are "… unpredictable, short in duration and, if left alone, will run its course and eventually end.…”

Section: Discussionmentioning

confidence: 99%

Predicting Initiator and Near Repeat Events in Spatiotemporal Crime Patterns: An Analysis of Residential Burglary and Motor Vehicle Theft

Piza¹,

Carter

2017

Justice Quarterly

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Near repeat analysis has been increasingly used to measure the spatiotemporal clustering of crime in contemporary criminology. Despite its predictive capacity, the typically short time frame of near repeat crime patterns can negatively affect the crime prevention utility of near repeat analysis. Thus, recent research has argued for a greater understanding of the types of places that are most likely to generate near repeat crime patterns. The current study contributes to the literature through a spatiotemporal analysis of residential burglary and motor vehicle theft in Indianapolis, IN. Near Repeat analyses were followed by multinomial logistic regression models to identify covariates related to the occurrence of initiator (the first event in a near repeat chain) and near repeat (the subsequent event in a near repeat chain) events. The overall findings provide additional support for the argument that neighborhood context can influence the formation and context of spatiotemporal crime patterns.

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Section: Discussionmentioning

confidence: 99%

Predicting Initiator and Near Repeat Events in Spatiotemporal Crime Patterns: An Analysis of Residential Burglary and Motor Vehicle Theft

Piza¹,

Carter

2017

Justice Quarterly

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“…Thus, a national survey on the integration of crime analysis into the patrol function of police agencies was carried out by the Police Executive Research Forum (PERF) [1] between 2007 and 2010. The national survey was conducted within the scope of a larger research project that also included focus groups and working groups with innovative police practitioners and a case study with one agency.…”

Section: Introductionmentioning

confidence: 99%

The integration of crime analysis into police patrol work

Santos

Taylor

2014

Policing: An International Journal of Police Strategies &Amp; Management

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Access to this document was granted through an Emerald subscription provided by emerald-srm:409465 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to examine national survey data of police agencies in the USA to explore the current state of crime analysis integration to patrol crime reduction work. Design/methodology/approach -The data examined in this paper are from a national quantitative survey which sought to understand how crime analysis results are used by officers as well as higher ranking personnel in the patrol division and what types of strategies are implemented using crime analysis. Findings -The findings show that the routine use of crime analysis is not well integrated. Despite the low integration, however, some differences were found. Management uses crime analysis the most overall, but officers and first-line supervisors use tactical crime analysis more routinely than management, where management personnel use evaluation most routinely. Tactical crime analysis is used most often for directed patrol, strategic for both directed patrol and general information, and evaluation for both general information and crime prevention. Analysis of using analysis proactively shows that agencies use tactical crime analysis most proactively, followed by the strategic crime analysis, then evaluation.Research limitations/implications -The study relies on self-report surveys, so the results may suffer from some of the general limitations of self-reports. Also, the study resulted in a lower response rate than surveys of police agencies typically achieve. Although responding and non-responding agencies were comparable in terms of population size, number of officers, and region of the country, The current issue and full text archive of this journal is available at the response rate was about 55 percent. However, it is a possibility based on the analysis results that non-responses may reflect a disinterest in the topic or the lack of integration of crime analysis. Originality/value -This is the first national survey that focussed specifically on crime analysis integration in patrol work for crime reduction. The value of the results presented here are in the description of the curr...

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“…season when the crime occurred, or district in a city where the crime occurred) are sometimes used (compare, e.g. Santos and Santos 2015). However, transport crime is quite different from vehicle theft in general, and there does not appear to be any particular support in the literature to introduce similar control variables in a study that focuses on the specific crime types that are investigated here.…”

Section: Discussionmentioning

confidence: 99%

Using crowdsourced data to analyze transport crime

Sternberg

Lantz

2018

International Journal of Logistics Research and Applications

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Anecdotal evidence suggests that harsh social conditions in the road haulage industry are having an impact on transport crime. This paper analyses transport crime, and demonstrates how to use a combination of official statistics and crowdsourced data in the process. A hierarchical regression analysis was applied to investigate the relations among different factors in order to predict transport crime threats. A secondary data set on transport crime from the Swedish Police was combined with primary crowdsourced data from volunteer observations of trucks in Sweden from both high-wage and low-wage countries. The findings imply that transportation is more vulnerable to antagonistic threats in geographical areas where the low-wage hauliers operate more frequently. For policymakers and practitioners, these findings provide useful guidance for the planning of security measures. To the authors' knowledge, this paper is the first exploratory study of its kind that uses a combination of official statistics and crowdsourced data.

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Examination of police dosage in residential burglary and residential theft from vehicle micro-time hot spots

Cited by 22 publications

References 27 publications

Predicting Initiator and Near Repeat Events in Spatiotemporal Crime Patterns: An Analysis of Residential Burglary and Motor Vehicle Theft

Predicting Initiator and Near Repeat Events in Spatiotemporal Crime Patterns: An Analysis of Residential Burglary and Motor Vehicle Theft

The integration of crime analysis into police patrol work

Using crowdsourced data to analyze transport crime

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