{"title":"是什么让危险设施变得 \"危险\"?利用谷歌街景图像对丹佛酒吧环境犯罪预测因素进行远程系统社会观察","authors":"Nathan T. Connealy, Mary Corts","doi":"10.1016/j.jcrimjus.2024.102288","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>Bars have an established relationship to crime and are routinely operationalized as an important predictor of crime occurrence. However, despite this reputation, an interesting paradox exists in that most bars are not criminogenic. This study attempts to explain the variation in crime levels at bars by observing their environments over time.</p></div><div><h3>Methods</h3><p>Environmental features of bars in Denver were recorded using year-over-year Google Street View imagery from 2014 to 2022. Analyses then examined the presence, predictivity, and patterning of the observed environmental features to better explain the relationship between bars, bar environments, and crime over time.</p></div><div><h3>Results</h3><p>The results indicate that a high number of environmental features are present at bars but only a few features significantly predict crime occurrence. The variation in crime levels at bars may be best explained through specific, situational environmental features and place management tactics. Though, identifying the temporal patterning of environmental features as static or dynamic over time is critical to understanding crime occurrence at bars.</p></div><div><h3>Conclusions</h3><p>The results suggest that crime at bars may be attributable to unique combinations of environmental features and temporal considerations at individual bars. Explaining the variation in crime levels may require facility-by-facility nuance to better inform situational crime prevention efforts.</p></div>","PeriodicalId":48272,"journal":{"name":"Journal of Criminal Justice","volume":"95 ","pages":"Article 102288"},"PeriodicalIF":3.3000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What makes risky facilities “risky?” A remote systematic social observation of environmental crime predictors at bars in Denver using Google street view imagery\",\"authors\":\"Nathan T. Connealy, Mary Corts\",\"doi\":\"10.1016/j.jcrimjus.2024.102288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>Bars have an established relationship to crime and are routinely operationalized as an important predictor of crime occurrence. However, despite this reputation, an interesting paradox exists in that most bars are not criminogenic. This study attempts to explain the variation in crime levels at bars by observing their environments over time.</p></div><div><h3>Methods</h3><p>Environmental features of bars in Denver were recorded using year-over-year Google Street View imagery from 2014 to 2022. Analyses then examined the presence, predictivity, and patterning of the observed environmental features to better explain the relationship between bars, bar environments, and crime over time.</p></div><div><h3>Results</h3><p>The results indicate that a high number of environmental features are present at bars but only a few features significantly predict crime occurrence. The variation in crime levels at bars may be best explained through specific, situational environmental features and place management tactics. Though, identifying the temporal patterning of environmental features as static or dynamic over time is critical to understanding crime occurrence at bars.</p></div><div><h3>Conclusions</h3><p>The results suggest that crime at bars may be attributable to unique combinations of environmental features and temporal considerations at individual bars. Explaining the variation in crime levels may require facility-by-facility nuance to better inform situational crime prevention efforts.</p></div>\",\"PeriodicalId\":48272,\"journal\":{\"name\":\"Journal of Criminal Justice\",\"volume\":\"95 \",\"pages\":\"Article 102288\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Criminal Justice\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0047235224001375\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CRIMINOLOGY & PENOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Criminal Justice","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0047235224001375","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
What makes risky facilities “risky?” A remote systematic social observation of environmental crime predictors at bars in Denver using Google street view imagery
Purpose
Bars have an established relationship to crime and are routinely operationalized as an important predictor of crime occurrence. However, despite this reputation, an interesting paradox exists in that most bars are not criminogenic. This study attempts to explain the variation in crime levels at bars by observing their environments over time.
Methods
Environmental features of bars in Denver were recorded using year-over-year Google Street View imagery from 2014 to 2022. Analyses then examined the presence, predictivity, and patterning of the observed environmental features to better explain the relationship between bars, bar environments, and crime over time.
Results
The results indicate that a high number of environmental features are present at bars but only a few features significantly predict crime occurrence. The variation in crime levels at bars may be best explained through specific, situational environmental features and place management tactics. Though, identifying the temporal patterning of environmental features as static or dynamic over time is critical to understanding crime occurrence at bars.
Conclusions
The results suggest that crime at bars may be attributable to unique combinations of environmental features and temporal considerations at individual bars. Explaining the variation in crime levels may require facility-by-facility nuance to better inform situational crime prevention efforts.
期刊介绍:
The Journal of Criminal Justice is an international journal intended to fill the present need for the dissemination of new information, ideas and methods, to both practitioners and academicians in the criminal justice area. The Journal is concerned with all aspects of the criminal justice system in terms of their relationships to each other. Although materials are presented relating to crime and the individual elements of the criminal justice system, the emphasis of the Journal is to tie together the functioning of these elements and to illustrate the effects of their interactions. Articles that reflect the application of new disciplines or analytical methodologies to the problems of criminal justice are of special interest.
Since the purpose of the Journal is to provide a forum for the dissemination of new ideas, new information, and the application of new methods to the problems and functions of the criminal justice system, the Journal emphasizes innovation and creative thought of the highest quality.