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Relevant bibliographies by topics / Crime pattern theory

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Journal articles

Academic literature on the topic 'Crime pattern theory'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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Journal articles on the topic "Crime pattern theory"

1

Zhao, Peixin, Marjorie Darrah, Jim Nolan, and Cun-Quan Zhang. "Analyses of Crime Patterns in NIBRS Data Based on a Novel Graph Theory Clustering Method: Virginia as a Case Study." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/492461.

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This paper suggests a novel clustering method for analyzing the National Incident-Based Reporting System (NIBRS) data, which include the determination of correlation of different crime types, the development of a likelihood index for crimes to occur in a jurisdiction, and the clustering of jurisdictions based on crime type. The method was tested by using the 2005 assault data from 121 jurisdictions in Virginia as a test case. The analyses of these data show that some different crime types are correlated and some different crime parameters are correlated with different crime types. The analyses

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2

Hiropoulos, A., and J. Porter. "Visualising Property Crime in Gauteng: Applying GIS to crime pattern theory." South African Crime Quarterly 47, no. 1 (2014): 17. http://dx.doi.org/10.4314/sacq.v47i1.2.

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3

Simon, Armando. "Application of Fad Theory to Copycat Crimes: Quantitative Data following the Columbine Massacre." Psychological Reports 100, no. 3_suppl (2007): 1233–44. http://dx.doi.org/10.2466/pr0.100.4.1233-1244.

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Copycat crimes have traditionally proven to be hard to both identify and analyze, although it has long been known that they occur. The present study analyzed the copycat crimes that followed the Columbine massacre of 1999 in light of fad theory and found that a copycat crime is, essentially, a fad. The pattern of development followed a particular progression with variations on the initial incident and reached a peak, whereupon the number of copycat incidents dropped radically. This pattern allows for predictability of copycat crimes.

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4

Andresen, Martin A., and Nicolas Malleson. "Testing the Stability of Crime Patterns: Implications for Theory and Policy." Journal of Research in Crime and Delinquency 48, no. 1 (2010): 58–82. http://dx.doi.org/10.1177/0022427810384136.

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Recent research in the ‘‘crime at places’’ literature is concerned with smaller units of analysis than conventional spatial criminology. An important issue is whether the spatial patterns observed in conventional spatial criminology focused on neighborhoods remain when the analysis shifts to street segments. In this article, the authors use a new spatial point pattern test that identifies the similarity in spatial point patterns. This test is local in nature such that the output can be mapped showing where differences are present. Using this test, the authors investigate the stability of crime

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5

Wang, Zengli, and Hong Zhang. "Construction, Detection, and Interpretation of Crime Patterns over Space and Time." ISPRS International Journal of Geo-Information 9, no. 6 (2020): 339. http://dx.doi.org/10.3390/ijgi9060339.

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Empirical studies have focused on investigating the interactive relationships between crime pairs. However, many other types of crime patterns have not been extensively investigated. In this paper, we introduce three basic crime patterns in four combinations. Based on graph theory, the subgraphs for each pattern were constructed and analyzed using criminology theories. A Monte Carlo simulation was conducted to examine the significance of these patterns. Crime patterns were statistically significant and generated different levels of crime risk. Compared to the classical patterns, combined patte

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6

Cowan, Devin, William D. Moreto, Christina Burton, Matt R. Nobles, and Rohit Singh. "Applying Crime Pattern Theory and Risk Terrain Modeling to Examine Environmental Crime in Cambodia." Journal of Contemporary Criminal Justice 36, no. 3 (2020): 327–50. http://dx.doi.org/10.1177/1043986220923467.

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The spatial-temporal analysis of crime has significantly evolved. One innovative technique recently developed is risk terrain modeling (RTM). RTM, however, has yet to be used for environmental crime. This research applies RTM and draws from crime pattern theory to examine illegal activities in two protected areas in Cambodia. Findings suggest that pathways, edges, areas with suitable targets, conservation posts, landcover, and prior incidents are related to fauna- and flora-related illegal activities, though this relationship varies by season, units of analysis, and study area (i.e., patrol-ba

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7

Alalehto, Tage. "Crime prevention in terms of criminal intent criteria in white-collar crime." Journal of Financial Crime 25, no. 3 (2018): 838–44. http://dx.doi.org/10.1108/jfc-05-2017-0051.

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Purpose In the field of crime prevention there are several theoretical approaches explaining why crime occurs and how to prevent it. Three of them – routine activity theory, crime pattern theory and the theory of crime-as-choice – are logically tested in this work. The point of departure is to test if the theories are logical consistent and logical valid, irrespective of whether the criterion for criminal intent is changed from direct intention to negligence. Design/methodology/approach The issues will be explored in a logical structure by a first-order logic propositional analysis. Findings T

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8

Chang, YuSang, SungSup Brian Choi, JinSoo Lee, and Won Chang Jin. "Population Size vs. Number of Crimes: Is the Relationship Superlinear?" International Journal of Information Systems and Social Change 9, no. 1 (2018): 26–39. http://dx.doi.org/10.4018/ijissc.2018010102.

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Do large cities suffer from an even greater incidence of crime? According to the Urban Scaling Theory, the number of crimes committed may follow a superlinear relationship as a function of the population size of city. For example, if the population size increases by 100%, the incidence of crime may increase by 120%. We analyzed a total of 11 types of crimes which had occurred in about 250 cities with more than 100,000 inhabitants in the United States during the period of 1995-2010. We found that the relationship between the number of crimes counts and the population size of cities have followe

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9

Kadar, Cristina, Stefan Feuerriegel, Anastasios Noulas, and Cecilia Mascolo. "Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities." Proceedings of the International AAAI Conference on Web and Social Media 14 (May 26, 2020): 339–50. http://dx.doi.org/10.1609/icwsm.v14i1.7304.

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Crime has been previously explained by social characteristics of the residential population and, as stipulated by crime pattern theory, might also be linked to human movements of non-residential visitors. Yet a full empirical validation of the latter is lacking. The prime reason is that prior studies are limited to aggregated statistics of human visitors rather than mobility flows and, because of that, neglect the temporal dynamics of individual human movements. As a remedy, we provide the first work which studies the ability of granular human mobility in describing and predicting crime concen

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10

Luo, Fei, Yan Zhang, and Larry T. Hoover. "The journey to crime and victimization." International Journal of Police Science & Management 23, no. 3 (2021): 211–21. http://dx.doi.org/10.1177/14613557211008477.

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The offender’s journey to crime has attracted much attention in mobility triangle research, whereas the journey to victimization and the spatial distance between the offender’s and the victim’s residences have been relatively less examined. This research fills this gap in the literature by examining spatial comparisons of variations in journey to crime, journey to victimization, and the distance between victim’s and suspect’s residences for five types of offenses. Crime data from the Houston Police Department from 2010 to 2013 were used to analyze the mobility triangle in five types of crime.

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