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The purpose of this study is to identify potential changes in crime generators and attractors based on monthly models in a high-tourist destination.

A risk terrain modeling approach was used to assess spatial relationships between 27 crime generator and attractor types in Atlantic City, New Jersey with robbery occurrence for the 2015 calendar year. In total, 12 separate monthly models were run to identify changes in risk factors based on the month of the year.

Results indicated unique significant risk factors based on the month of the year. Over the warmer and summer months, there was a shift in environmental risk factors that falls in line with more of a change in routine activities for residents and tourists and related situational contexts for the crime.

The analytical approach used in the current study could be used by police departments and jurisdictions to understand types of crime generators and attractors influencing local crime occurrence. Subsequent analyses were used by Atlantic City Police Department to direct place-based policing efforts.

With growing crime and place research that accounts for temporal scales, the authors advance these endeavors by focusing on a tourist destination, Atlantic City, New Jersey.

The purpose of this paper is to provide a metric for validating the Nationwide Suspicious Activity Reporting (SAR) Initiative’s (NSI) sixteen-category instrument, which is designed to guide law enforcement in the collection and analysis of suspicious behaviors preceding serious crimes, including terrorist attacks.

Data on suspicious preoperational activities and terrorism incident outcomes in the USA between 1972 and 2013 come from the American Terrorism Study (ATS). Using a mixed-method approach, the authors conduct descriptive and multivariate analyses to examine the frequencies of the least and most prevalent suspicious activities (or SAR indicators) and how they predict the likelihood of terrorism prevention. In addition, the authors contextualize how configurations of SAR indicators are associated with the successful thwarting of terrorism incidents by law enforcement using an analytical method known as conjunctive analysis of case configurations (CACC).

The study reveals several key findings. First, certain behaviors categorized as suspicious, such as making threats, occur more frequently than others. Second, making threats, conducting surveillance and terrorist recruitment/financing predict law enforcement interdiction in terrorism plots, while misrepresentation (or the manufacturing and use of false documents) is more associated with terrorist success. Third, prevalent SAR indicators operate differently in the context of various combinations of suspicious activities to shape the likelihood for law enforcement interdiction.

The current study’s findings may not be generalizable to other forms of violent extremism and terrorism outside of the USA.

This study illuminates opportunities for the NSI to provide law enforcement with the necessary tools to reduce terrorism risk and prevent future attacks.

To our knowledge, no scholarly work to date has assessed how observable behavioral indicators of suspicious preoperational activities affect the outcomes of terrorist plots.

Purpose – This chapter provides a roadmap for future research and evaluation on violent extremist risk analysis.

Methodology/Approach – The authors synthesize the lessons learned from process evaluations of general violence risk assessment, bias research, survey designs, linguistic analyses, and spatial analyses, and apply them to the problem of violent extremist risk assessment and management.

Findings – The next generation of violent extremist risk assessment research will necessitate a focus upon process, barriers to effective implementation and taking the human element of decision-making into account. Furthermore, the development of putative risk factors for violent extremist attitudes and behaviors necessitates a movement toward more survey-based research designs. Future risk assessment processes may additionally take language and spatial components into account for a more holistic understanding.

Originality/Value – Based on existing literature, there is a paucity of research conducting process evaluations, survey designs, linguistic analyses, and spatial analyses in this area. The authors provide several roadmaps, assessments of respective strengths and weaknesses, and highlight some initial promising results.

The work connects classic theories of selfing to the COVID-19 pandemic to make fresh connections between pandemic-induced trauma to the self and digital resources. This research introduces the concept of the “traumatized self” emerging from the COVID-19 pandemic in relation to digital disadvantage and digital hyperconnectivity. From Cooley’s original “looking glass self” to Wellman’s “hyperconnected” individualist self, social theories of identity work, and production of the self have a long and interdisciplinary history. In documenting this history, the discussion outlines key foci in the theorizing of the digital self by mapping how digital selfing and identity work have been treated from the inception of the internet to the epoch of the pandemic. The work charts the evolution of the digital selfing project from key theoretical perspectives, including postmodernism, symbolic interactionism, and dramaturgy. Putting these approaches in dialogue with the traumatized self, this research makes a novel contribution by introducing the concept of digitally differentiated trauma, which scholars can employ to better understand selfing processes in such circumstances and times.

This chapter explores Food for Change, a social entrepreneurial program created by the Houston Food Bank. Food for Change explicitly considers the interlinkages of social problems within an individual. Food for Change collaborates with educational and training organizations and healthcare providers to use supplemental food resources to address clients' needs antecedent to food insecurity. We propose a model to conceptualize how food insecurity is influenced by multiple levels of social determinants. We then describe the Food for Change program and offer lessons about the holistic nature of clients, the productivity and challenges of interorganizational collaborations to address the roots of social problems, and the forethought and courage of organizational leadership to try to create self-sufficient clients who might become liberated from their services.

This study aims to explore what may have contributed to risk-taking travel behavior during the COVID-19 pandemic and what may be the drivers of satisfaction and intention to travel again. The study compares travelers based on their travel purposes (business, pleasure and visiting friends and relatives [VFR]) and explore the influence of subjective well-being received from their travel activities.

Data from a structured survey of 323 US residents who traveled during the COVID-19 pandemic were collected on MTurk. Respondents were asked travel behavior questions related to their favorite trips and to rate several multi-item scales measuring the benefits expected and received from their trip, the trip’s contribution to their positive mental and subjective psychological well-being, as well as their satisfaction with the trip and intention to travel in the future. In addition, personality measures focused on risk-taking, thrill-seeking and self-confidence, as well as additional risk-related concepts of optimism bias, probability neglect and proximity to self.

Data analysis revealed some differences among respondents who traveled for business, pleasure and VFR purposes. Business travelers were more risk takers and thrill seekers; pleasure travelers achieved more well-being benefits from their favorite trips during the pandemic; however, VFR travelers’ satisfaction and intention to go on similar trips were explained more by the benefits they received from their favorite trips.

Although several studies addressed consumers’ travel motivation during the COVID-19 pandemic, there is a lack of empirical research comparing the characteristics of travelers based on their travel purposes, as well as their sociodemographics, personality traits and the expected and perceived well-being benefits from traveling.

The purpose of this paper is to examine the spatial influence of features of the physical environment on the risk of aggression toward law enforcement.

The spatial analytic technique, risk terrain modeling was performed on felonious battery data provided by the Chicago Police Department.

Out of the 991 batteries against law enforcement officers (LEOs) in Chicago, 11 features of the physical environment were identified as presenting a statistically significant spatial risk of battery to LEOs. Calls for service within three blocks of foreclosures and/or within a dense area of problem buildings pose as much as two times greater risk of battery to police officers than what is presented by other significant spatial factors in the model.

An abundance of existing research on aggression toward law enforcement is situated from the perspective of characteristics of the suspect or officer. The research advances the field of violence studies by illustrating the importance of incorporating physical features of the environment into empirical studies of aggression.

Abuja, the capital city of Nigeria, is one of the fastest growing capital cities in sub-Saharan Africa. Recently, the city is experiencing an alarming rate of burglary and violent crimes, while the city planning management frameworks lacks adequate and effective crime mapping, monitoring and management techniques necessary for achieving liveable and safe environment for habitation despite its grandiose spatial planning and aesthetically appealing architectural design as a modern city. Based on police crime records (2007–2018) and geospatial analysis, this paper aims to provide adequate understanding on the interplay of land use configuration and burglary crime formation in residential neighbourhoods of Abuja, Nigeria.

The methods used for the purpose of data collection includes; field survey, Block Environmental Inventory, while inferential statistics and Geographic Information System tools was used for data analysis. The analysis established that Lagos, Nsukka and Enugu Streets are hotspots; while Chief Palace street, Ladoke Akintola and Oka-Akoko streets were found to be cold spots.

This study, however, established the applicability of crime pattern, opportunity theory and routine activity theory in understanding the rising burglary crime events in the study areas and the link between physical characteristics of street block typology and burglary crime pattern. The results of the analysis has in a way affirmed the positions of the theories, while disagreed with them in cases where the results indicated contrary outcome.

This paper concluded with inference drawn from the results that supported mixed-use development but with built-in crime prevention through environmental design strategies as effective burglary crime prevention mechanisms that contribute to crime rate reduction.