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The purpose of this study is to examine crime characteristics and its causation in Mushin Lagos Nigeria. The incidence of urban crime in Nigeria has been associated with increasing urbanization, high poverty level, congestion, unemployment, deprivation, income inequality, poor physical planning and design, political democratization, disorganization and moral decadence and breakdown in infrastructure. Hence, tackling urban crimes in selected communities within Lagos state will address several issues, creating inclusiveness and safer communities.

Primary data were collected through questionnaire administration on three income groups, cutting across 14 communities in the study area. Multistage sampling techniques were adopted to select six communities (Idi Araba, Idi Oro, Fadeyi, Ilasamaja Papa Ajao and Ilupeju), 60 streets and 144 respondents for this study. Respondents selected for this study are individuals who have stayed in the communities for more than five years.

This study reports no statistically significant variation in the crime occurrence by type across the selected communities. However, residents experienced a high occurrence of crime against a person in robbery, assault and pocket-picking, especially among the low-income earners. The same trend was observed in crimes against property such as theft, burglary and store breaking in the low- and middle-income areas, whereas burglary, theft and car theft have high occurrence in the high-income areas. In addition, crimes against morality inform of gambling, prostitution and offences against public peace were high in the low- and high-income areas, whereas gambling, prostitution and bribery are common in the middle-income areas.

This study identifies appropriate policies for combating crime. Collective values promote citizen participation and encourage Do It Yourself in the communities. Stakeholders’ crime prevention mechanism will create safer communities. Social crime prevention and environmental design is an instrument for creating safer cities.

The outcome of this study addresses goal 11 of the SDGs if properly managed.

This paper aims to examine the effects of transformations of the levels of visual and functional permeability and the types of uses on the ground floors of buildings on the perception of security and the occurrence of residential burglary, theft in residence, pedestrian mugging, vehicle robbery, vehicle theft and theft of items inside a vehicle on selected blocks.

Nine blocks divided into three groups were selected in Capão da Canoa, a Brazilian city that has been undergoing morphological transformations, including the replacement of buildings with residences and shops on the ground floor, with doors and windows facing the street, by buildings with a predominance of garage doors and blind walls on the ground floors. Data were collected through the application of questionnaires and interviews.

The results reveal, for example, that perception of greater security is related to the blocks with a greater number of functional and visual connections between the ground floor interfaces of the buildings and the open public spaces. In addition, the night period records the higher number of criminal occurrences, even on blocks with higher rates of visual and functional connections between the ground floor interfaces and the public open space and higher rates of residential and commercial uses on the ground floor of the buildings.

It is expected that the results of this paper will allow for greater knowledge and the revision of many urban guidelines regarding the effects of the transformations of ground floor interfaces from traditional to contemporary buildings in the perception of security and the occurrence of crimes in public open spaces and in neighbouring residential units. It is further evidenced the need to recognize the ground floor interface as an element of public interest, even if it belongs to a private property. Nonetheless, further research is needed on the relationships between the quantifications of the levels of visual and functional permeability, the different types of uses on the ground floor of buildings, movement of people and crimes in open spaces and buildings in different periods of the day.

The purpose of this paper is to investigate the impact of Crime Prevention Through Environmental Design (CPTED), a crime prevention tool, on reducing rates of sexual assault. In addition, the study attempts to understand if CPTED results in crime displacement in non-target areas.

This research utilizes a Weighted Displacement Quotient (WDQ) model to analyze the effects of CPTED, which is an appropriate tool in fields of regional-scale crime prevention and on sexual assault prevention. WDQ is capable of analyzing policy effectiveness while controlling for geographical crime displacement, a known side effect of CPTED in the literature.

The analysis results show that CPTED is an effective tool to prevent sexual assaults in South Korea. The sexual assault occurrence rate decreased in the CPTED implementation zone of Yeomri-dong Mapo-gu. WDQ showed that crime displacement occurred in adjacent areas in Daeheung-dong and Ahyun-dong. But, crime displacement was lower than the policy effectiveness in the target zone.

The policy implications of this research are immense. First, CPTED for the prevention of sexual assaults should be considered as a pre-control tool. Second, a strategic method for more effectively implementing CPTED is required. Third, because CPTED is a policy done on a regional scale, provisions need to be in place to manage crime displacement.

Initiator crimes, also known as near-repeat crimes, occur in places with known risk factors and vulnerabilities based on prior crime-related experiences or information. Consequently, the environment in which initiator crimes occur might be different from more general crime environments. This study aimed to analyse the differences between the environments of initiator crimes and general crimes, confirming the need for predicting initiator crimes.

We compared predictive models using data corresponding to initiator crimes and all residential burglaries without considering repetitive crime patterns as dependent variables. Using random forest and gradient boosting, representative ensemble models and predictive models were compared utilising various environmental factor data. Subsequently, we evaluated the performance of each predictive model to derive feature importance and partial dependence based on a highly predictive model.

By analysing environmental factors affecting overall residential burglary and initiator crimes, we observed notable differences in high-importance variables. Further analysis of the partial dependence of total residential burglary and initiator crimes based on these variables revealed distinct impacts on each crime. Moreover, initiator crimes took place in environments consistent with well-known theories in the field of environmental criminology.

Our findings indicate the possibility that results that do not appear through the existing theft crime prediction method will be identified in the initiator crime prediction model. Emphasising the importance of investigating the environments in which initiator crimes occur, this study underscores the potential of artificial intelligence (AI)-based approaches in creating a safe urban environment. By effectively preventing potential crimes, AI-driven prediction of initiator crimes can significantly contribute to enhancing urban safety.

This paper aims to unveil the spheres that were silenced by the media and academia with regard to the collapse of the Fundão Dam that occurred in 2015, in Mariana (Minas Gerais - Brazil).

In an attempt to contribute to studies into the evil side of organizations, the authors use the theoretical contributions of corporate crime and the one-dimensional society. The authors used the “Samarco Mud” corporate crime case as an object of analysis, while a press conference with the company’s CEO and representatives from its parent companies was used as the analytical corpus. For the analysis, the authors used the content analysis technique.

The conclusions of this study point to the existence of subjects who were silenced about the phenomenon of the Fundão Dam collapse, a situation that reveals the power exercised by corporations and the totalitarian domination of the one-dimensional society as a social factor that favors the occurrence of corporate crimes.

The case in question is recent and not fully understood by academia. Neither is its organization around political and social movements understood with regard to the management implications for society and the environment. With a discussion that mixes the concepts of corporate crime and the one-dimensional society, this paper contributes to the base of critical studies in management, especially as far as concerns the mining policies used in the Southern Hemisphere.

The purpose of this paper is to report on the findings and lessons that were learned from the many cases of internet fraud complaints that are gathered by the Federal Trade Commission in the USA. The implications that are contained in the behavior of the complaints and trends identified are critical for addressing all types of online criminal activities in the increasing world of cybercrimes.

Data for this paper are extracted from the Consumer Sentinel Network Data Handbook covering a period of 13 years. Using the raw data, the occurrences were plotted and trends (number of cycles, time between cycles, and leading state and lagging states) were identified. Descriptive statistics covering the 13 years were examined and discussed. Using 20002 as the base year, the rate of growth of each of the states were ranked annually and were tested for stability and predictability using non-parametric approaches.

The key findings are indigenous to the occurrences of online fraud complaints in the USA. However, as the leading nation with the best database on fraud complaints, the findings are mission critical to fraud prevention across the globe. Specifically, this study found that since 2002, there have been four distinct cycles. Each cycle is clearly noticeable because there is a rapid growth in the number of crime complaints in the beginning half of the period followed by a slowing down period. However, the speed of change from one cycle to the next is steeper and the time gap is faster. While it is true that from the perspective of all the 50 states, the ranks appear to change every year and thus are not stable. However, the majority of the changes are relatively small so their relative positions by rank are still predictable.

The paper extends existing understanding of online fraud occurrences in the USA. The findings are timely and based on longitudinal data that span over a decade. The four new cycles identified are critical to the body of knowledge. The observed change in time from one cycle to another and its changes from a mathematic to a geometric one are also new. The findings are invaluable to persons working in law enforcement related occupations (auditors, lawyers, forensic experts, among others) and who must deal with the increasing problem of online fraud and cybercrimes.

The perception that a particular place is unsafe to live can significantly affect the quality of life of individuals who live there. In Brazil, crime rates in urban centres increase every year, which leads to a constant sense of fear shared by the population. Safety perception may affect the way people move in their neighbourhood and interact with the public environment. In the present study, we addressed the question of safety perception of residents of three areas of the Federal District, the capital of Brazil, and how this perception impacts walking behaviour. Seventeen residents participated in go-along ethnographic interviews, being accompanied in their daily journeys. Each interview recorded the interaction of the participants with the surroundings during their journey. The observations were submitted to content analysis to verify how perception of safety, insecurity and fear of crime affect the decision to walk. The results indicate that the decision to walk interacted with a more positive view of the neighbourhood, that is, perception of safety enhances walking. On the other hand, perception of insecurity and fear of crime discourage the occurrence of this behaviour. The more people fear crime and perceive a place as unsafe, the less they walk and the more they avoid walking in certain places. We conclude with a short note about the use of participatory mobile methods for the study of complex social phenomena such as perceptions and fear of crime.

In the context of social sustainability, characterization of sustainable development embroils a process of growth not only without social disruption but also without the involvement of any severe risk of environmental collapse of the ecosystem. Economic, social, and environmental aspects in an interactive setup determine the different dimensions of sustainability. In this backdrop, this chapter focuses on the dimensions of social sustainability of the development process – particularly with an eye on the determining factors of social tension resulting in social disruption which in turn become noticeable through violent forms of different types of crime – homicides (murder), property-related crimes (dacoity, robbery, burglary, and theft), and riots. Although the occurrences of such crimes in an indicator of weakness in the law and order of the state, one needs to evaluate the significant role played by various types of deprivation and discrimination. This study attempts to find out the role played by economic deprivation for the incidence of such crimes in the presence of infrastructural and socioeconomic developmental factors. This analysis is performed in the context of India using generalized method of moments (GMM) structure with panel data of 16 major Indian states from 2005 to 2016.

The purpose of this paper is to introduce architecture of an Intelligent Decision Support System to fulfill the emerging responsibilities of law enforcement agencies.

The proposed Intelligent Police System (IPS) is designed to meet the emerging requirements and provide information at all levels of decision making by introducing a multi-level structure of user interface and crime analysis model. The proposed framework of IPS is based on data mining and performance measurement techniques to extract useful information like crime hot spots, predict crime trends and rank police administration units on the basis of crime prevention measures.

IPS has been implemented on actual Indian crime data provided by National Crime Records Bureau (NCRB), which illustrates effectiveness and usefulness of the proposed system. IPS can play a vital role in improving outcome in the crime investigation, criminal detection and other major areas of functioning of police organization by analyzing the crime data and sharing of the information.

The research in intelligent police information system can be enhanced with some important additional features which include web-base management system, geographical information system, mobile adhoc network technology, etc.

IPS can easily be applied to any police system in the world and can equally be useful for any law enforcement agencies for carrying out homeland security effectively.

The research reported in this manuscript is outcome of the research project funded by NCRB. This paper is the first attempt to build framework of IPS for Indian police who deal with large volume and high rate of crimes that are unmatched to any police force of the world.

The purpose of this paper is to examine the patterns of reported cargo thefts at non-secure parking facilities in Europe, the Middle East, and Africa (EMEA) with respect to stolen value, frequency, incident category, and modi operandi.

This study is based on a system-theoretical approach that emphasizes on a holistic rather than an atomistic view. The research method used in this paper is deductive; the analysis is based on data obtained from the incident information service (IIS), a database of transport-related crimes from the Transported Asset Protection Association (TAPA) in the EMEA region. The results are analysed and discussed within a frame of reference based on supply chain risk management (SCRM) and criminology theories.

We found that 97 per cent of all attacks during a stop occur at non-secure parking locations. Cargo thefts at these locations are more of a volume crime than high-value thefts. Seasonal variations were seen in these thefts, and the most common type was an intrusion on weekdays during winter.

This study is limited by the content of and the classifications within the TAPA EMEA IIS database.

This paper is directly relevant to the current EU discussions regarding the creation of a large number of secure parking facilities in the region.

This is one of the first papers in the field of SCRM that utilizes actual crime statistics reported by the industry to analyse the occurrence of cargo theft by focusing on the non-secure parking aspect in the transport chain.