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The purpose of this paper is to examine whether the distribution of police response time to in-progress burglaries differ according to the level of social disorganization across different neighborhoods.

Using 2006 calls for service data collected from the Dallas and Houston Police Departments and from the 2000 US Bureau of Census statistics, the effects of social disorganization on police performance were examined through multilevel analysis of the distribution of police response time patterns across different neighborhoods in Dallas and Houston.

The analysis of the DPD and HPD in-progress calls produced somewhat consistent findings on the relationship between the level of social disorganization and police response time. Concentrated disadvantage, immigrant concentration, and residential stability are important predictors of the distribution of police response time patterns in Dallas and Houston.

Neighborhood social disorganization is related to the distribution of agency response time patterns. Detailed response time analysis is crucial for agencies to improve police performance and the community-police relationship.

In the policing literature, researchers have tended to neglect rapid response when examining many aspects of policing. The present study expands on existing research by examining the theoretical link between the level of neighborhood social disorganization with the distribution of rapid police response to in-progress burglary in two cities.

The purpose of this paper is to evaluate a foot patrol and citizen contact-based policing intervention in a suburb outside Dallas. Funded by the Bureau of Justice Assistance “Smart Policing” initiative, the intervention consisted of assigning a single bilingual officer to an economically disadvantaged apartment complex in the heart of the city.

An examination of calls for service across several offense types was performed for the target complex, the adjacent neighborhood, and a nearby apartment complex. The aims of the study were to determine whether the intervention affected specific calls for service and geographic and/or temporal displacement/diffusion occurred.

Two key findings emerged. First, the intervention produced several hypothesized reductions and increases in specific call types, but temporal displacement rendered those effects short-lived. Second, diffusion to surrounding areas was observed and persisted through various treatment dosages.

The study provides useful information to practitioners who might seek to implement foot-patrol-based tactics in hot spots and micro-places. However, foot patrol and/or citizen contact patrol alone may not yield sustainable crime reductions in their target areas.

Few recent studies have examined the efficacy of foot patrol in crime hot spots. No recent studies have evaluated citizen contact patrol within micro-places. This study sought to address both limitations.

The purpose of this paper is to better understand the variability in burglary geocoding positional accuracy between United States Census Topologically Integrated Geographic Encoding and Referencing (TIGER)-based street geocoding and results produced using reference data made publicly available by Google.

This research compares the Euclidian distance between ground-truthed burglaries and results produced using two different geocoding reference data sets: TIGER-based street geocoding and publicly available data within Google Earth. T-tests and z-tests are used to discern whether positional errors are statistically significant.

Both within suburban and urban jurisdictions, Google outperformed street geocoding in terms of positional accuracy. Positional errors on average were 1/4th as large for Google in a suburban setting and 1/5th as large in an urban setting compared to street geocoding.

Police departments that are relying on street geocoding techniques may achieve improved spatial precision by using Google’s reference data if they contain parcel-level information. Moreover, relying on less precise spatial referencing methods may place burglaries in locations where the events do not actually occur or cluster.

This is the first analysis of law enforcement data to examine the positional accuracy of geocoded offense data using Google Earth compared to the commonly used street geocoding method of interpolation.

This article sets out a simple predictive model for calculating the incidence of burglary in dwelling houses. The consequences of planned housing development are also estimated. It is argued that existing Home Office crime reduction targets for burglary reduction will be made more difficult to meet as a result of new residential construction.

This paper reviews the transformation of requests for police services, specifically examining the various categories of assault. The impact of housing, race, education level, police workload, neighbourhood criminal history, type of call, call‐taker input, priority (seriousness) originally assigned to the call, and decision to despatch are assessed. Moreover, the paper will: identify the processes police agencies use in classifying crime; identify the conditions under which requests for service are transformed by call‐takers and despatchers; examine the impact of precursors to a request for services being made, including social and contextual (ecological), and prior workload variables; and examine the impact of factors occurring concurrent to the taking of a call.

The purpose of this paper is to explain why, as a matter of law and policy, loss suffered as a consequence of terrorism, insurrection and/or civil uprising is not generally compensable in insurance law. The paper postulates that it is the duty of the state, particularly in small states, to compensate loss of this type.

The paper achieves this objective by studying the attempted coup d'état by Muslim fundamentalists in Trinidad and Tobago in 1990 and the devastating property losses suffered during the attempted coup as a consequence of looting and arson. The standard terms of two main policies then in use are meticulously set out and examined in the context of the relevant case law and textbook learning on the subject of losses of this type.

The paper demonstrates that losses occasioned as a consequence of activity of the type under reference – that is terrorist activity, insurrection and civil uprising – cannot be dealt with by insurance companies and that it falls to the state as the guardian of national security and as an honest broker in the development of the economy to ensure even development by compensating losses occasioned as a consequence of terrorist activity, insurrection and/or civil uprising.

The paper for the first time puts in context losses of the type now being experienced in many parts of the world and explains the limitations of the traditional insurance law principles to treat with these losses. The solution of state compensation as a last resort to compensate innocent victims in these circumstances is advanced as a possible solution.

The primary objective of the current study is to examine the impact that the size of a police department and workload on a department have on response time. Secondarily, the authors look at the effect that incident-level factors such as the severity of a call for service (CFS) and community-level factors such as ethnic diversity have on police response time.

The current study examined CFSs data collected over a three-year period and organizational information from 26 police departments in Northeast Texas, as well as community-level information. In order to measure the effect of organizational variables, community factors and incident-level variables on police response time, the authors employed the use of hierarchical linear models (HLMs).

The results of hierarchical linear modeling indicated that incident-level factors and police department size are significant predictors of response time.

There are two primary limitations: first, there were a lack of available organizational structure correlates such as age and differentiation. Second, the primary data set had a significant number of incomplete or repeating cases, thereby limiting the accuracy of the current study’s analysis.

The most unique aspect of this manuscript is that it examines how organizational factors affect police response time. Numerous studies analyzed determinants of police response time such as incident- and community-level factors, but the importance of organizational factors has not been analyzed.

Business victimization is a serious and pervasive issue within the USA. According to recent estimates, roughly 2,058,194 businesses are victimized each year. Of those, approximately 33 percent of business victimization cases are solved. Taken together, it is important for research to examine factors that influence business victimization clearance. The purpose of this paper is to examine how broken windows enforcement, social disorganization, community and police organizational factors influence business robbery clearance using data from Houston, Texas over a two-year period from 2010 to 2012.

Using a hierarchical linear modeling strategy, the current study found no effect of broken windows tactics, social disorganization elements and various organizational, and community characteristics on business robbery clearance.

Significant effects were found for a number of incident and offense characteristics including gang involvement, business type, type of weapon used in the crime, the number of business entities in an area, and racial populous.

To date, few studies have examined factors that influence clearance rates for business robberies. Thus, the current study adds to and extends upon the literature in theoretically relevant ways by exploring how broken windows policing, social disorganization and various community/police organizational variables influence business robbery clearances in a large city.

Discusses the relationship between quality service and fear of crime as measures of community policing. Reports on a survey which asked 500 residents of Austin, Texas, their perception of safety (an aspect of fear of crime) and their perception of the quality of police service. Indicates that there is little relationship between citizen’s perception of safety and the quality of police services. The strongest relationship was found between perception of safety in the home and citizen’s general knowledge of the police department. Suggests that fear of crime is in many ways a theoretical concept that needs to be explained better if practitioners of community policing are going to measure their success against it.