Cognitive Pervasive Service Composition Applied to Predatory Crime Deterrence

Pervasive service composition is useful in many scenarios, for instance, in urban planning or controlled harvest. Currently, there is no standard to develop solutions using pervasive service composition. However, big companies propose their frameworks to develop complex services, but their frameworks are appropriate in specific applications, such as home automation and agriculture. On the other hand, there are different very well-grounded academic proposals for pervasive service composition. However, these do not solve the problems of traditional approaches that are appropriate to specific areas of application, and adaptation is needed to deal with the dynamism of the environment. This article presents a cognitive approach for pervasive service composition where InfoCom devices and the implementation of cognitive functions interact to create pervasive composite services. Our central hypothesis is that cognitive theory can help solve actual problems requiring pervasive service composition, as it addresses the above-mentioned problems. To test our approach, in this article we present a case of urban insecurity. Specifically, in different countries, street robbery using firearms is one of the problems with a high impact because of its frequency. This article proposes to compose a pervasive service for deterring criminals from committing their crimes. The results obtained by simulating our proposal in our case study are promising. However, more research needs to be achieved before applying the proposed approach to actual problems. The research needed ought to address various problems, some of which are discussed in this article.

The influence of criminal career on the manner of perpetrating street robbery

Street development is a form of development and content of all elements of a significant criminal offense and was committed against one or more persons, who walked, known or unknown to the executor, performed in public places that should become proposed, parks, public garages, entrances and stairs in residential buildings, etc.). They belong to the more frequent types of robbery, characterized by less sophistication in execution and direct confrontation that determines the quantity of fear suffered, the scope and intensity of the studied consequences. The aim of the research was to examine the influence of the previous experience of the perpetrators of the robbery on the way of choosing the victim, the place of victimization and the presence of other persons who would be in the immediate or close environment of the street robbery victim. The sample consisted of 42 respondents who committed street robbery out of 120 examined perpetrators of the crime of robbery and serious cases of robbery and robbery, who were serving a prison sentence in the penitentiary in Sremska Mitrovica. Data were collected through an anonymous survey. The results show that there will be differences in the approach to victim first choice, place of execution, internal and external presence of others, between executor who have already and those who have no previous experience in development research. The executors of robbery who have already committed this act are not more inclined to type a potential victim, but they would rather decide to immediately commit a street robbery by encountering a victim with whom the "prey" is visually noticeable. When choosing the place where the crime was committed, they are more inclined to emphasize the possibility of safe removal, but they are more inclined to say that when they commit the crime at night, it will still be in a place that is not lit. Experience predisposes them to pay less attention to the external presence of other persons, while perpetrators who commit robbery for the first time give priority to victimization when the victim is alone. Proper understanding of these indicators can contribute to the qualitative improvement of the analysis, which will facilitate our identification of key starting points in the selection of the best solutions for effective intervention, in order to reduce street robberies.

Tracking Risk for Crime Throughout the Day: An Examination of Jersey City Robberies

This study examines temporal variations in the spatial influence of environmental features, such as bars and vacant buildings, on criminal behavior across microlevel places. Specifically, 17 environmental risk factors and their spatial influences are identified for calendar year 2014 street robberies in Jersey City, NJ. To explore temporal variation, risk factors and their spatial influences on crime are identified across 12 discrete 2-hr time intervals. The results demonstrate that the risk factors for street robbery varied across the course of a day. In fact, mapping the most vulnerable places for street robbery revealed that while many of the same environmental features remain high risk throughout the day, their influence varied. These results suggested that there was a temporality to robbery and that it is likely due to the interaction between physical vulnerabilities from the built environment and social behaviors of people at these places. This demonstrates the importance of considering the temporal dimension of criminal behavior as results show that people use and interact with their environment differently throughout the course of the day.

Block-Level Analysis of the Attractors of Robbery in a Downtown Area

This article examines the predictions of crime pattern theory in a unique neighborhood type. It tested potential crime attracting facilities against street robbery data from 2009 to 2013 in the Police Districts I & II in Downtown Houston. The analysis modeled the four daily human routine periods described in the American Time Use Survey (ATUS). Generalized linear simultaneous negative binomial regression model was used to determine the size of the influence of the variables (beta coefficients) and their significance for each model outcome. The findings show some distinct patterns of street robbery due to the immediate and lagged effects of the variables relatable to the study environment’s unique setting. Two variables, geographic mobility, and barbershops were particularly significant across three of the outcome models. The results suggest that the physical and social structure of neighborhoods determined by land-use regulations would enhance understanding of the time-based influence on robbery patterns due to crime-attracting facilities.

Using Eye-Tracking Technology to Measure Environmental Factors Affecting Street Robbery Decision-Making in Virtual Environments

There is a lack of quantitative data regarding how offenders make decisions about committing a crime or how situational factors influence such decisions. Detailed crime data on decision-making among criminals are required to improve the accuracy of research. Demonstrating a new methodology for assessing the factors impacting criminal decision-making among street robbery offenders, this study identifies visual data that influence criminal decision-making, and verifies the significance of the measured data. To this end, this study first identified and organized the physical aspects affecting criminal decision-making based on the Crime Prevention Through Environmental Design (CPTED) literature. Next, participants were informed of a street crime scenario and asked to replicate the behaviors of criminals in the virtual environment of Grand Theft Auto 5. Factors affecting criminals’ decision-making were then quantitatively assessed using eye-tracking technology. Multivariate logistic regression analysis was used to verify the significance of the measured data. Results show that windows placed adjacent to the street, balconies and verandas, and signs indicating territoriality have a significant effect on criminals’ decision-making. Confirming the influence of CPTED factors on the occurrence of street robbery, this study advances a new way of acquiring quantitative data through eye-tracker technology, a method hitherto unexplored by existing research on street robbery.

Understanding the Predictors of Street Robbery Hot Spots: A Matched Pairs Analysis and Systematic Social Observation

This study examines the environmental predictors that classify street robbery hot spots and control street segments in Indianapolis. Empirical controls were generated by matching each hot spot to a corresponding set of zero-crime control and low-crime control units. Then, units were evaluated based on the presence of crime generators and attractors, which were downloaded from open data sources and spatially joined to the street segments, and disorder indicators obtained via systematic social observation using Google Street View. The findings provide information about the influence environmental predictors have on the presence of street robbery hot spots, and whether the composition of hot spots significantly differs from that of similar places that experienced no crime or low counts of crime.