Joel M Caplan
Biographic Data
| ID | 4437734 |
|---|---|
| NAME | Joel M Caplan |
| GIVEN NAMES | Joel M |
| FAMILY NAME | Caplan |
| SIGNATURE | CAPLAN J M |
| AFFILIATIONS | Rutgers, the State University of New Jersey |
| ORCID | 0000-0003-0668-8208 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 18 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Not all convenience stores are equal”. An analysis of the criminogenic role of corner Stores in Newark, NJ
A place-based spatial analysis of racial inequities in overdose in St. Louis County Missouri, United States
These findings suggest that places of worship, the hospitality industry, and housing authorities may be physical features of the environment that reflect social conditions that are conducive to overdose. The scaling up of harm reduction strategies could be enhanced by targeting places where features are co-located
The Essex Risk-Based Policing Initiative: Evidence-Based Practices in Problem Analysis and Crime Prevention in the United Kingdom
This study draws insights from environmental criminology to implement a policing initiative focused on risky places and the micro-spatial attractors that create vulnerable settings for crime to emerge or persist in the town of Basildon. Evidence-based approaches to crime control have become more important within law enforcement approaches to crime control. Insights that have emerged from recent research on place-based approaches will serve as a c…
Data-informed crime prevention at convenience stores in Atlantic City
The Atlantic City Police Department intervened to reduce robberies with an evidence-based approach grounded in problem-oriented policing. Informed by risk terrain modeling and hot spot analysis, police commanders implemented a place-based intervention focused around convenience stores. Target areas throughout the city were reprioritized each month to create a dynamic deployment strategy that efficiently allocated resources to the most vulnerable …
Neighborhood Violent Crime and Academic Performance: A Geospatial Analysis
Highlights Research on children's exposure to violence in communities is limited by measurement approaches. Geospatial analytic strategies offer a new way to capture experiences with community violence. Violence around school buildings relates to average achievement of students in those buildings
Risk Terrain Modeling: Crime Prediction and Risk Reduction
Imagine using an evidence-based risk management model that enables researchers and practitioners alike to analyze the spatial dynamics of crime, allocate resources, and implement custom crime and risk reduction strategies that are transparent, measurable, and effective. Risk Terrain Modeling (RTM) diagnoses the spatial attractors of criminal behavior and makes accurate forecasts of where crime will occur at the microlevel. RTM informs decisions a…
Risk-Based Policing: Evidence-Based Crime Prevention with Big Data and Spatial Analytics
"Risk-based policing is the latest advancement in the long history of policing innovations, where research and planning have combined to manage crime risks, prevent crime, and enhance public safety. In Risk-Based Policing the authors share case studies from different agencies to demonstrate how focusing police resources at risky places, based on smart uses of data and strong analytical work, can address the worst effects of disorder and crime whi…
Place-based correlates of Motor Vehicle Theft and Recovery: Measuring spatial influence across neighbourhood context
Social scientists have long shown great interest in the spatial correlates of crime patterns. A subset of the literature has focused on how micro-level spatial factors influence the formation of crime hot spots. At the same time, tangential research has highlighted how neighbourhood disadvantage influences crime occurrence. The current study focuses on the intersection of these perspectives through a spatial analysis of Motor Vehicle Theft (MVT) …
Risk Terrain Modeling: Brokering Criminological Theory and GIS Methods for Crime Forecasting
The research presented here has two key objectives. The first is to apply risk terrain modeling (RTM) to forecast the crime of shootings. The risk terrain maps that were produced from RTM use a range of contextual information relevant to the opportunity structure of shootings to estimate risks of future shootings as they are distributed throughout a geography. The second objective was to test the predictive power of the risk terrain maps over two…
Risk Clusters, Hotspots, and Spatial Intelligence: Risk Terrain Modeling as an Algorithm for Police Resource Allocation Strategies
Parole release decisions: Impact of victim input on a representative sample of inmates
Using GIS to evaluate post-release prisoner services in Newark, New Jersey
Assessing residential segregation among medicaid recipients with psychiatric disability in Philadelphia
This study assesses the extent of residential segregation among 15,246 people diagnosed with psychiatric disabilities and receiving Medicaid (MA) in Philadelphia, and an identically sized group of MA recipients serving as matched controls. Results indicate that overall levels of residential segregation among this group were modest at their most extreme, were not markedly different from a control group of Medicaid recipients without any record of …
Assessing residential segregation among medicaid recipients with psychiatric disability in Philadelphia
This study assesses the extent of residential segregation among 15,246 people diagnosed with psychiatric disabilities and receiving Medicaid (MA) in Philadelphia, and an identically sized group of MA recipients serving as matched controls. Results indicate that overall levels of residential segregation among this group were modest at their most extreme, were not markedly different from a control group of Medicaid recipients without any record of …
Place-based correlates of Motor Vehicle Theft and Recovery: Measuring spatial influence across neighbourhood context
Social scientists have long shown great interest in the spatial correlates of crime patterns. A subset of the literature has focused on how micro-level spatial factors influence the formation of crime hot spots. At the same time, tangential research has highlighted how neighbourhood disadvantage influences crime occurrence. The current study focuses on the intersection of these perspectives through a spatial analysis of Motor Vehicle Theft (MVT) …
Neighborhood Violent Crime and Academic Performance: A Geospatial Analysis
Highlights Research on children's exposure to violence in communities is limited by measurement approaches. Geospatial analytic strategies offer a new way to capture experiences with community violence. Violence around school buildings relates to average achievement of students in those buildings
Parole release decisions: Impact of victim input on a representative sample of inmates
Using GIS to evaluate post-release prisoner services in Newark, New Jersey
Assessing residential segregation among medicaid recipients with psychiatric disability in Philadelphia
This study assesses the extent of residential segregation among 15,246 people diagnosed with psychiatric disabilities and receiving Medicaid (MA) in Philadelphia, and an identically sized group of MA recipients serving as matched controls. Results indicate that overall levels of residential segregation among this group were modest at their most extreme, were not markedly different from a control group of Medicaid recipients without any record of …
Using GIS to evaluate post-release prisoner services in Newark, New Jersey
Parole release decisions: Impact of victim input on a representative sample of inmates
Risk Terrain Modeling: Brokering Criminological Theory and GIS Methods for Crime Forecasting
The research presented here has two key objectives. The first is to apply risk terrain modeling (RTM) to forecast the crime of shootings. The risk terrain maps that were produced from RTM use a range of contextual information relevant to the opportunity structure of shootings to estimate risks of future shootings as they are distributed throughout a geography. The second objective was to test the predictive power of the risk terrain maps over two…
Risk Clusters, Hotspots, and Spatial Intelligence: Risk Terrain Modeling as an Algorithm for Police Resource Allocation Strategies
Place-based correlates of Motor Vehicle Theft and Recovery: Measuring spatial influence across neighbourhood context
Social scientists have long shown great interest in the spatial correlates of crime patterns. A subset of the literature has focused on how micro-level spatial factors influence the formation of crime hot spots. At the same time, tangential research has highlighted how neighbourhood disadvantage influences crime occurrence. The current study focuses on the intersection of these perspectives through a spatial analysis of Motor Vehicle Theft (MVT) …
Risk-Based Policing: Evidence-Based Crime Prevention with Big Data and Spatial Analytics
"Risk-based policing is the latest advancement in the long history of policing innovations, where research and planning have combined to manage crime risks, prevent crime, and enhance public safety. In Risk-Based Policing the authors share case studies from different agencies to demonstrate how focusing police resources at risky places, based on smart uses of data and strong analytical work, can address the worst effects of disorder and crime whi…
Risk Terrain Modeling: Crime Prediction and Risk Reduction
Imagine using an evidence-based risk management model that enables researchers and practitioners alike to analyze the spatial dynamics of crime, allocate resources, and implement custom crime and risk reduction strategies that are transparent, measurable, and effective. Risk Terrain Modeling (RTM) diagnoses the spatial attractors of criminal behavior and makes accurate forecasts of where crime will occur at the microlevel. RTM informs decisions a…
Neighborhood Violent Crime and Academic Performance: A Geospatial Analysis
Highlights Research on children's exposure to violence in communities is limited by measurement approaches. Geospatial analytic strategies offer a new way to capture experiences with community violence. Violence around school buildings relates to average achievement of students in those buildings
Data-informed crime prevention at convenience stores in Atlantic City
The Atlantic City Police Department intervened to reduce robberies with an evidence-based approach grounded in problem-oriented policing. Informed by risk terrain modeling and hot spot analysis, police commanders implemented a place-based intervention focused around convenience stores. Target areas throughout the city were reprioritized each month to create a dynamic deployment strategy that efficiently allocated resources to the most vulnerable …
The Essex Risk-Based Policing Initiative: Evidence-Based Practices in Problem Analysis and Crime Prevention in the United Kingdom
This study draws insights from environmental criminology to implement a policing initiative focused on risky places and the micro-spatial attractors that create vulnerable settings for crime to emerge or persist in the town of Basildon. Evidence-based approaches to crime control have become more important within law enforcement approaches to crime control. Insights that have emerged from recent research on place-based approaches will serve as a c…
A place-based spatial analysis of racial inequities in overdose in St. Louis County Missouri, United States
These findings suggest that places of worship, the hospitality industry, and housing authorities may be physical features of the environment that reflect social conditions that are conducive to overdose. The scaling up of harm reduction strategies could be enhanced by targeting places where features are co-located
Not all convenience stores are equal”. An analysis of the criminogenic role of corner Stores in Newark, NJ
Crime Patterns and Interventions (9 works) · Psychology (8 works) · Criminology (7 works) · Geography (7 works) · Cartography (6 works) · Computer Science (6 works) · Political science (6 works) · Crime analysis (5 works) · Sociology (5 works) · Business (4 works)