Where’s The Crime? Exploring Divergences Between Call Data and Perceptions of Local Crime

Author(s):  
Lauren C Porter ◽  
Andrew Curtis ◽  
Eric Jefferis ◽  
Susanne Mitchell

Abstract Scholars typically use calls to the police to study crime patterning; however, crime reporting may be systematic across space. Using spatial video and geonarrative methodology, we investigate the overlap between perceived crime hot spots among 35 neighbourhood insiders (police officers, ex-offenders and residents) and hot spots gleaned from call data. In general, perceptual hot spots diverge from call data, but in particular, a corner store emerges as a perceptual hot spot across all groups, but not in call data. We use our data to explore the microgeographic dynamics of this ‘hidden hot spot’. We find that the corner store is relatively isolated, with few occupied residences around it and participants avoiding it. In addition, our geonarratives suggest that the store lacks adequate guardianship. We argue that mixed methodological approaches such as these are useful for understanding discrepancies between measures as well as the situational and environmental dynamics of problem places.

2021 ◽  
Vol 10 (8) ◽  
pp. 560
Author(s):  
Spencer P. Chainey ◽  
Jhonata A. S. Matias ◽  
Francisco Carlos F. Nunes Junior ◽  
Ticiana L. Coelho da Silva ◽  
José Antônio F. de Macêdo ◽  
...  

Hot spot policing involves the deployment of police patrols to places where high levels of crime have previously concentrated. The creation of patrol routes in these hot spots is mainly a manual process that involves using the results from an analysis of spatial patterns of crime to identify the areas and draw the routes that police officers are required to patrol. In this article we introduce a computational approach for automating the creation of hot spot policing patrol routes. The computational techniques we introduce created patrol routes that covered areas of higher levels of crime than an equivalent manual approach for creating hot spot policing patrol routes, and were more efficient in how they covered crime hot spots. Although the evidence on hot spot policing interventions shows they are effective in decreasing crime, the findings from the current research suggest that the impact of these interventions can potentially be greater when using the computational approaches that we introduce for creating hot spot policing patrol routes.


2017 ◽  
Vol 55 (2) ◽  
pp. 205-219 ◽  
Author(s):  
Swikar Lama ◽  
Sikandar Singh Rathore

AbstractThis study is based on crime mapping and crime analysis of property crimes in Jodhpur. The property crimes which were selected were house breaking, auto thefts and chain snatching. Data from police stations were used to generate the maps to locate hot spots of crimes. The profile of these hot spots was analyzed through observations supplemented with interviews of police officers and public 100 cases of house breaking and 100 cases of auto thefts were further analyzed to understand the contexts which lead to these crimes. These contexts are in consonance with situational crime prevention theories. This study may help to understand the environmental factors which may be responsible for certain places becoming hot spot areas of property crimes in Jodhpur.


2019 ◽  
Vol 35 (2) ◽  
pp. 142-160 ◽  
Author(s):  
David Weisburd ◽  
Clair White

In this article, we seek to identify whether the relationship between health disparities and crime occurs at a micro-geographic level. Do hot spot streets evidence much higher levels of mental and physical illness than streets with little crime? Are residents of crime hot spots more likely to have health problems that interfere with their normal daily activities? To answer these questions, we draw upon a large National Institutes of Health study of a sample of hot spots and non-hot spots in Baltimore, Maryland. This is the first study we know of to report on this relationship, and accordingly, we present unique descriptive data. Our findings show that both physical and mental health problems are much more likely to be found on hot spot streets than streets with little crime. This suggests that crime hot spots are not simply places with high levels of crime, but also places that evidence more general disadvantage. We argue that these findings have important policy implications for the targeting of health services and for developing proactive prevention programs.


2020 ◽  
Vol 60 (4) ◽  
pp. 873-891 ◽  
Author(s):  
David Weisburd ◽  
Clair White ◽  
Alese Wooditch

Abstract Many scholars argue that collective efficacy is not relevant to understanding crime at the microgeographic level. We examine variation in collective efficacy across streets with different levels of crime in Baltimore City, MD, and, then, employ multilevel modelling to assess this relationship. We find that people who live in crime hot spots have much lower levels of collective efficacy than people who live in non-hot spot streets and that this relationship persists when controlling for a large number of potential confounders both at the street and community levels. These findings suggest the importance of collective efficacy both in understanding and controlling crime at microgeographic units.


2020 ◽  
Vol 8 (6) ◽  
pp. 1308-1312

Crimes Hot spots are areas that have a greater than average number of criminal or disorder events. Recently, many researchers pay more attentions for detecting crime hot spots to allow police personnel to plan effectively for emergency response, determine mitigation priorities, analyze historical events, and predict future events. This paper introduces a fuzzy geographical model for detecting crimes hot spots. The proposed model has three main phases which are: (1) Pre-processing, (2) Fuzzification, and (3) Visualization. In pre-processing phase, the model uses statistical methods and cleansing techniques to clean the raw dataset. In Fuzzification phase, the number of crimes converts into linguistic value according to the hybrid (triangular and trapezoidal) membership function. In visualization phase, the results are visualized on GIS map with different colors based on the density of crime hot spot. This paper aims to rank the hotspot crime places in the country, so the decision-makers can be knowing accurately. Our dataset collected from Cairo crimes at year 2016 and the results of our approach suitable and has a good manner for the decision maker with high accuracy.


2019 ◽  
Vol 35 (2) ◽  
pp. 186-204 ◽  
Author(s):  
Rotem Leshem ◽  
David Weisburd

There is a growing recognition of the importance of micro-geographic areas in the generation of crime problems. While many studies show that crime is heavily concentrated at crime hot spots, scholars have only begun to examine how living in such places affects human development. We point to an unexplored component of the relationship between living in a hot spot, and crime and violence. We argue that crime hot spots function as violent and stressful environments and thus have long-term, possibly intergenerational, impacts on brain development. It is proposed that living in such places may be associated with DNA methylation profiles related to aggressive behavior. In this context, the study of the epigenetic influences of crime hot spots has tremendous potential for advancing our understanding of crime and violence, as well as generating new approaches for crime prevention.


Author(s):  
Georgiana Grigoraș ◽  
Bogdan Urițescu

Abstract The aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.


2018 ◽  
Vol 52 (2) ◽  
pp. 519-534 ◽  
Author(s):  
V. E. Fedosov

Recent studies on Orthotrichoid mosses in Russia are summarized genus by genus. Orthotrichum furcatum Otnyukova is synonymized with Nyholmiella obtusifolia. Orthotrichum vittii is excluded from the Russian moss flora. Description of O. dagestanicum is amended. Fifty four currently recognized species from 9 genera of the Orthotrichaceae are presently known to occur in Russia; list of species with common synonyms and brief review of distribution in Russia is presented. Numerous problematic specimens with unresolved taxonomy were omitted for future. Revealed taxonomical inconsistencies in the genera Zygodon, Ulota, Lewinskya, Nyholmiella, Orthotrichum are briefly discussed. Main regularities of spatial differentiation of the family Orthotrichaceae in Russia are considered. Recently presented novelties contribute to the certain biogeographic pattern, indicating three different centers of diversity of the family, changing along longitudinal gradient. Unlike European one, continental Asian diversity of Orthotrichaceae is still poorly known, the Siberian specimens which were previously referred to European species in most cases were found to represent other, poorly known or undescribed species. North Pacific Region houses peculiar and poorly understood hot spot of diversity of Orthotrichoid mosses. Thus, these hot spots are obligatory to be sampled in course of revisions of particular groups, since they likely comprise under-recorded cryptic- or semi-cryptic species. Latitudinal gradient also contributes to the spatial differentiation of the revealed taxonomic composition of Orthotrichaceae.


Sociology ◽  
2021 ◽  
pp. 003803852110155
Author(s):  
Daniela Pirani ◽  
Vicki Harman ◽  
Benedetta Cappellini

Drawing on 34 semi-structured interviews, this study investigates the temporality of family practices taking place in the hot spot. It does so by looking at how breakfast is inserted in the economy of family time in Italy. Our data show that breakfast, contrary to other meals, allows the adoption of more individualised and asynchronous practices, hinged on the consumption of convenience products. These time-saving strategies are normalised as part of doing family. Although the existing literature suggests that convenience and care are in opposition, and consumers of convenience products can experience anxiety and a lack of personal integrity, such features were not a dominant feature of our participants’ accounts. These findings suggest that the dichotomies of hot/cold spots and care/convenience are not always experienced in opposition when embedded within family practices. Hence, this study furthers understandings of family meals, temporality and the distinction between hot and cold spots.


2013 ◽  
Vol 455 ◽  
pp. 466-469
Author(s):  
Yun Chuan Wu ◽  
Shang Long Xu ◽  
Chao Wang

With the increase of performance demands, the nonuniformity of on-chip power dissipation becomes greater, causing localized high heat flux hot spots that can degrade the processor performance and reliability. In this paper, a three-dimensional model of the copper microchannel heat sink, with hot spot heating and background heating on the back, was developed and used for numerical simulation to predict the hot spot cooling performance. The hot spot is cooled by localized cross channels. The pressure drop, thermal resistance and effects of hot spot heat flux and fluid flow velocity on the cooling of on-chip hot spots, are investigated in detail.


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