Geographic Information System Effects on Policing Efficacy

2014 ◽  
Vol 5 (2) ◽  
pp. 30-43 ◽  
Author(s):  
Yan Zhang ◽  
Larry Hoover ◽  
Jihong (Solomon) Zhao

GIS technology is credited with substantially improving police crime analysis and related resource allocation. Although GIS has been said to be an efficient and effective technology in policing, limited empirical assessment has been conducted. An examination of functions and a review of the literature suggests four major applications of GIS in policing: computerized crime mapping/crime analysis; “hot spots” identification; improving command-level decision making; and geographical investigative analysis (primarily offender profiling). The primary objective of this qualitative review is to identify the extent of empirical evaluations of the effectiveness of a GIS. Although there is some research reference offender profiling, results are mixed. Only two empirical evaluations have been published that examine crime mapping, and both are limited to effects on perceptions. No empirical work links GIS to police deployment effectiveness.


2016 ◽  
pp. 1468-1483 ◽  
Author(s):  
Yan Zhang ◽  
Larry Hoover ◽  
Jihong (Solomon) Zhao

GIS technology is credited with substantially improving police crime analysis and related resource allocation. Although GIS has been said to be an efficient and effective technology in policing, limited empirical assessment has been conducted. An examination of functions and a review of the literature suggests four major applications of GIS in policing: computerized crime mapping/crime analysis; “hot spots” identification; improving command-level decision making; and geographical investigative analysis (primarily offender profiling). The primary objective of this qualitative review is to identify the extent of empirical evaluations of the effectiveness of a GIS. Although there is some research reference offender profiling, results are mixed. Only two empirical evaluations have been published that examine crime mapping, and both are limited to effects on perceptions. No empirical work links GIS to police deployment effectiveness.



2017 ◽  
Vol 55 (2) ◽  
pp. 205-219 ◽  
Author(s):  
Swikar Lama ◽  
Sikandar Singh Rathore

AbstractThis study is based on crime mapping and crime analysis of property crimes in Jodhpur. The property crimes which were selected were house breaking, auto thefts and chain snatching. Data from police stations were used to generate the maps to locate hot spots of crimes. The profile of these hot spots was analyzed through observations supplemented with interviews of police officers and public 100 cases of house breaking and 100 cases of auto thefts were further analyzed to understand the contexts which lead to these crimes. These contexts are in consonance with situational crime prevention theories. This study may help to understand the environmental factors which may be responsible for certain places becoming hot spot areas of property crimes in Jodhpur.



2020 ◽  
Vol 1 (2) ◽  
pp. 153-180
Author(s):  
Cynthia J. Najdowski ◽  
Kimberly M. Bernstein ◽  
Katherine S. Wahrer

Despite growing recognition that misdiagnoses of child abuse can lead to wrongful convictions, little empirical work has examined how the medical community may contribute to these errors. Previous research has documented the existence and content of stereotypes that associate race with child abuse. The current study examines whether emergency medical professionals rely on this stereotype to fill in gaps in ambiguous cases involving Black children, thereby increasing the potential for misdiagnoses of child abuse. Specifically, we tested whether the race-abuse stereotype led participants to attend to more abuse-related details than infection-related details when an infant patient was Black versus White. We also tested whether this heuristic decision-making would be affected by contextual case facts; specifically, we examined whether race bias would be exacerbated or mitigated by a family’s involvement with child protective services (CPS). Results showed that participants did exhibit some biased information processing in response to the experimental manipulations. Even so, the race-abuse stereotype and heuristic decision-making did not cause participants to diagnose a Black infant patient with abuse more often than a White infant patient, regardless of his family’s involvement with CPS. These findings help illuminate how race may lead to different outcomes in cases of potential child abuse, while also demonstrating potential pathways through which racial disparities in misdiagnosis of abuse and subsequent wrongful convictions can be prevented.



2021 ◽  
pp. 238008442110144
Author(s):  
N.R. Paul ◽  
S.R. Baker ◽  
B.J. Gibson

Introduction: Patients’ decisions to undergo major surgery such as orthognathic treatment are not just about how the decision is made but what influences the decision. Objectives: The primary objective of the study was to identify the key processes involved in patients’ experience of decision making for orthognathic treatment. Methods: This study reports some of the findings of a larger grounded theory study. Data were collected through face-to-face interviews of patients who were seen for orthognathic treatment at a teaching hospital in the United Kingdom. Twenty-two participants were recruited (age range 18–66 y), of whom 12 (male = 2, female = 10) were 6 to 8 wk postsurgery, 6 (male = 2, female = 4) were in the decision-making stage, and 4 (male = 0, female = 4) were 1 to 2 y postsurgery. Additional data were also collected from online blogs and forums on jaw surgery. The data analysis stages of grounded theory methodology were undertaken, including open and selective coding. Results: The study identified the central role of dental care professionals (DCPs) in several underlying processes associated with decision making, including legitimating, mediating, scheduling, projecting, and supporting patients’ decisions. Six categories were related to key aspects of decision making. These were awareness about their underlying dentofacial problems and treatment options available, the information available about the treatment, the temporality of when surgery would be undertaken, the motivations and expectation of patients, social support, and fear of the surgery, hospitalization, and potentially disliking their new face. Conclusion: The decision-making process for orthognathic treatment is complex, multifactorial, and heavily influenced by the role of DCPs in patient care. Understanding the magnitude of this role will enable DCPs to more clearly participate in improving patients’ decision-making process. The findings of this study can inform future quantitative studies. Knowledge Transfer Statement: The results of this study can be used both for informing clinical practice around enabling decision making for orthognathic treatment and also for designing future research. The findings can better inform clinicians about the importance of their role in the patients’ decision-making process for orthognathic treatment and the means to improve the patient experience. It is suggested that further research could be conducted to measure some of the key constructs identified within our grounded theory and assess how these change during the treatment process.



Author(s):  
Aleeha Iftikhar ◽  
Raymond Bond ◽  
Victoria McGilligan ◽  
Stephen J Leslie ◽  
Khaled Rjoob ◽  
...  


2015 ◽  
Vol 16 (1) ◽  
pp. 174-198 ◽  
Author(s):  
Stefania Veltri ◽  
Andrea Venturelli ◽  
Giovanni Mastroleo

Purpose – The purpose of this paper is to propose a method to measure intellectual capital (IC) in firms involved in strategic alliances, an area that has received scant attention in the literature, as existing research is focused mainly on organizational level mainly and increasingly on macro-level unit such as regions or nations. There are very few works at the meso-level (i.e. alliances, clusters), and the paper aims to fill this void, by providing researchers and practitioners with a tool capable of combining measurement and management aims, developed at organizational level with the active participation of the researchers. Design/methodology/approach – The method of analysis is based on a model formalized through a fuzzy expert system (FES). The FES are able to merge the capabilities of an expert system to simulate the decision-making process with the vagueness typical of human reasoning, maintaining the ability to still have a numeric value as a response. Its construction requires the participation of experts, whose knowledge of the problem is accumulated in the form of blocks of rules. These features make it possible to formalize the decision-making process related to the IC valuation, handling qualitative and quantitative variables, and exploring the cognitive mechanisms underlying this process. Findings – The outcome of the application is a system designed to measure the intangible performance deriving from participation in a strategic alliance using FES. This study contributes to the broadening of the research community’s understanding regarding the alternative measurement of IC created within strategic alliances. Research limitations/implications – To the best of the authors’ knowledge, IC literature lacks methods expressly designed to measure the incremental value of IC originating from collaboration among firms. From a measurement perspective, the results may be regarded as valuable proof that IC performance within strategic alliances can be measured quantitatively. Practical implications – On the management side, the possibility of retracing the determinants of different IC intermediate indicators composing the final IC index allows strategic alliances managers to use this information for decision-making purposes. Originality/value – To the best of the authors’ knowledge this is the first study applying FES to measure IC in a firm belonging to a strategic alliance. In the authors’ opinion, fuzzy logic methodology, recently applied in empirical work designed to evaluate IC, represents a reliable methodology because of the “fuzzy” nature of IC.



2010 ◽  
Vol 113-116 ◽  
pp. 561-564
Author(s):  
Jian Ding ◽  
Ke Hong Wu ◽  
Zhi Bing Ding

The application of GIS technology to Military Environmental Information(MEI) management will play a vital role in MEI management, and can lead to better decision-making. This paper discusses both the management method and the application fields. Case studies, like information management, pollution coverage evaluating, military transportation planning and monitoring, and decision-making supporting, are presented in this paper. Detailed digital basemap database, Digital Elevation Model(DEM) data, Digital OrthoImage Model(DOM) data, image database of Remote Sensing, Social economic element database, and other informations related to military features, can be integrated into MEI GIS, and will meet the needs for later query and statistics. Spatial analysis is the bridge that links fundamental data models to GIS technology. While buffer analysis can be used for identifying the locations of hazardous chemical storage sites in relation to residents living area, and can facilitate the evaluation of the threatened area in the event of a leak or spill of hazardous materials. Network analysis can be used in military transportation planning and monitoring. GIS is particularly useful in providing composite visual representation of fairly complex underlying model calculations, analysts can draw implicit and important conclusion from the already known geographical data. The study shows that the management of MEI using GIS technology is reasonable and feasible, and GIS is a highly efficient tool in MEI management.





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