The Politics of Refuge: Sanctuary Cities, Crime, and Undocumented Immigration

2017 ◽  
Vol 55 (1) ◽  
pp. 3-40 ◽  
Author(s):  
Benjamin Gonzalez O’Brien ◽  
Loren Collingwood ◽  
Stephen Omar El-Khatib

This article assesses the claim that sanctuary cities—defined as cities that expressly forbid city officials or police departments from inquiring into an individual’s immigration status—are associated with post hoc increases in crime. We employ a causal inference matching strategy to compare similarly situated cities where key variables are the same across the cities except the sanctuary status of the city. We find no statistically discernible difference in violent crime, rape, or property crime rates across the cities. Our findings provide evidence that sanctuary policies have no effect on crime rates, despite narratives to the contrary. The potential benefits of sanctuary cities, such as better incorporation of the undocumented community and cooperation with police, thus have little cost for the cities in question in terms of crime.

2019 ◽  
Vol 8 (1) ◽  
pp. 51 ◽  
Author(s):  
Lu Wang ◽  
Gabby Lee ◽  
Ian Williams

Criminal activities are often unevenly distributed over space. The literature shows that the occurrence of crime is frequently concentrated in particular neighbourhoods and is related to a variety of socioeconomic and crime opportunity factors. This study explores the broad patterning of property and violent crime among different socio-economic stratums and across space by examining the neighbourhood socioeconomic conditions and individual characteristics of offenders associated with crime in the city of Toronto, which consists of 140 neighbourhoods. Despite being the largest urban centre in Canada, with a fast-growing population, Toronto is under-studied in crime analysis from a spatial perspective. In this study, both property and violent crime data sets from the years 2014 to 2016 and census-based Ontario-Marginalisation index are analysed using spatial and quantitative methods. Spatial techniques such as Local Moran’s I are applied to analyse the spatial distribution of criminal activity while accounting for spatial autocorrelation. Distance-to-crime is measured to explore the spatial behaviour of criminal activity. Ordinary Least Squares (OLS) linear regression is conducted to explore the ways in which individual and neighbourhood demographic characteristics relate to crime rates at the neighbourhood level. Geographically Weighted Regression (GWR) is used to further our understanding of the spatially varying relationships between crime and the independent variables included in the OLS model. Property and violent crime across the three years of the study show a similar distribution of significant crime hot spots in the core, northwest, and east end of the city. The OLS model indicates offender-related demographics (i.e., age, marital status) to be a significant predictor of both types of crime, but in different ways. Neighbourhood contextual variables are measured by the four dimensions of the Ontario-Marginalisation Index. They are significantly associated with violent and property crime in different ways. The GWR is a more suitable model to explain the variations in observed property crime rates across different neighbourhoods. It also identifies spatial non-stationarity in relationships. The study provides implications for crime prevention and security through an enhanced understanding of crime patterns and factors. It points to the need for safe neighbourhoods, to be built not only by the law enforcement sector but by a wide range of social and economic sectors and services.


2018 ◽  
Vol 26 (1) ◽  
pp. 34-53
Author(s):  
Wes Grooms ◽  
DJ Biddle

AbstractPrevious attempts to quantify the role that dogs play in mitigating household property crime rates have produced mixed results.gisand spatial analysis methods to conduct such an investigation are not well-represented in the anthrozoological academic press for an entire city. This study seeks to address these gaps using agis-based case study of dog license locations and reported property crime locations for land parcel data in the City of Milwaukee,wi, for 2011. We found that parcels with reported licensed dogs experienced property crime at rates of between 1.40 and 1.71 percentage points lower than the property crime rates for parcels that were zoned the same and did not have licensed dogs. This association between the presence of dogs and reduced property crime rates suggests dogs have a deterrent effect on property crime; more comprehensive analysis is encouraged to draw more concrete conclusions.


Author(s):  
Yifei Chen ◽  
Yuenan Li ◽  
Jonathan Li

With the development of Geographic Information Systems (GIS), crime mapping becomes an effective approach to investigate the spatial pattern of crime in a defined area. Understanding the relationship between crime and its surrounding environment can reveal possible strategies that can reduce crime in a neighbourhood. The relationship between vegetation density and crime has been under debate for a long time. This research is conducted to investigate the impacts of tree coverage on property crime in the City of Vancouver. High spatial resolution airborne LiDAR data collected in 2013 was used for the extraction of tree covered area for cross-sectional analysis. The independent variables were put into Ordinary Least-Squares (OLS) regression, Spatial Lag regression, and Geographically Weighted Regression (GWR) models to examine their influences on property crime rates. According to the results, the cross-sectional analysis demonstrated statistical evidences that property crime rates had negative correlations with tree coverage, with greater influences occurred around Downtown Vancouver.


2020 ◽  
Vol 60 (4) ◽  
pp. 851-872 ◽  
Author(s):  
James C Wo ◽  
Jihye Park

Abstract Although theories suggest that schools are associated with higher neighbourhood crime rates, it is not clear what particular measures of schools have a crime-producing impact when controlling for a diversity of social-ecological factors. We therefore address this question by performing a block-level analysis of schools and crime in the city of Chicago. Negative binomial regression models reveal that the presence of any school in the focal block is associated with higher violent and property crime rates and that these associations are largely robust to differing measures of schools. We also determine that concentrated disadvantage moderates the effect of school presence in the block on property crime. The implications of these findings for criminology and public policy are discussed.


Author(s):  
Yifei Chen ◽  
Yuenan Li ◽  
Jonathan Li

With the development of Geographic Information Systems (GIS), crime mapping becomes an effective approach to investigate the spatial pattern of crime in a defined area. Understanding the relationship between crime and its surrounding environment can reveal possible strategies that can reduce crime in a neighbourhood. The relationship between vegetation density and crime has been under debate for a long time. This research is conducted to investigate the impacts of tree coverage on property crime in the City of Vancouver. High spatial resolution airborne LiDAR data collected in 2013 was used for the extraction of tree covered area for cross-sectional analysis. The independent variables were put into Ordinary Least-Squares (OLS) regression, Spatial Lag regression, and Geographically Weighted Regression (GWR) models to examine their influences on property crime rates. According to the results, the cross-sectional analysis demonstrated statistical evidences that property crime rates had negative correlations with tree coverage, with greater influences occurred around Downtown Vancouver.


2021 ◽  
Vol 13 (11) ◽  
pp. 6182
Author(s):  
Marijana Pantić ◽  
Saša Milijić

An agreement of cooperation and transmission of knowledge regarding the nomination for the European Green Capital Award (EGCA) was signed between the mayors of Belgrade and Ljubljana (EGCA 2016 winner) in September 2018. The candidacy of Belgrade was finally realized in October 2019. Great hope was placed in this endeavour because internationally recognized awards, such as the EGCA, represent enormous capital for both the city and the state. The EGCA requires serious preparation and significant fulfilment of preconditions. Many economically strong and environmentally responsible cities competed for the award, but did not win. On the other hand, the capital of Serbia does not appear to be an obvious winning candidate, especially as it is differentiated from the previous winners by being a non-EU city and by the fact that it is still undergoing an intense urban transformation, characteristic of transitional countries. Therefore, the main aim of this article is to present a review of the current state of Belgrade’s environmental qualities and its comparison with the EGCA criteria and with Grenoble as one of the winning competitors. The article gives a full overview of the EGCA requirements with certain details on required indicators, gives relevant insight into the procedure, which could be of use for any future candidacy, and discusses potential benefits for winners, losers and repeat candidacies.


2021 ◽  
pp. 109861112110420
Author(s):  
Sungil Han ◽  
Jennifer LaPrade ◽  
EuiGab Hwang

While western countries have had a decentralized policing model for many years, some countries, such as South Korea, still employ a centralized, national police department. Responding to calls for reform, South Korea launched a pilot program and implemented a more decentralized policing structure in Jeju Island in 2006. This study adds to the policing literature by offering the empirical comparison of a region before and after decentralization of a police department. This study will examine the intervention effects of police decentralization in Jeju, specifically related to crime rates, crime clearance rates, victimization, trust in police, and fear of crime. Using propensity score matching and interrupted time series analysis, this study found that the decentralized policing intervention significantly reduced total crime, violent crime rates, and property crime rates that lasted throughout the intervention period, while improving crime clearance rates for violent crime, as well as reduced fear of crime among residents.


Author(s):  
Andréa Kruger Gonçalves ◽  
Eliane Mattana Griebler ◽  
Wagner Albo da Silva ◽  
Débora Pastoriza Sant´Helena ◽  
Priscilla Cardoso da Silva ◽  
...  

The objective was to assess the physical fitness of older adults participating in a 5-year multicomponent exercise program. The sample consisted of 138 older adults aged 60–93 years (70.4 ± 7.8 years) evaluated with the Senior Fitness Test (muscle strength, flexibility, balance, and cardiorespiratory fitness). The multicomponent program was carried out between the months of March and November of each year. Data were analyzed using generalized estimating equations (factor year: Year 1, Year 2, Year 3, Year 4, and Year 5; factor time: pretest and posttest) with Bonferroni’s post hoc test. Participation in the multicomponent exercise program for 5 years (baseline pretest Year 1 and follow-up Year 5) improved lower and upper limb strength, lower limb flexibility, and balance and cardiorespiratory fitness, while upper limb flexibility was maintained. Year-by-year analysis revealed variable patterns for each fitness parameter. The results of this study show the potential benefits of implementing a long-term community-based exercise program.


2019 ◽  
Vol 66 (11) ◽  
pp. 1579-1605 ◽  
Author(s):  
Xiaojin Chen ◽  
Patrick Rafail

This study aims to investigate the longitudinal associations between patterns of housing vacancies, neighborhood social disorder, and crime in the city of New Orleans. Using large-scale administrative and contextual data collected from the year 2012 to 2018, our spatiotemporal regression analysis provides empirical evidence for the salient effects of housing vacancy on neighborhood level of property crime and violence. In addition, the spillover effect of housing vacancy is observed on the neighborhood level of drug offense, property crime, and violence. These results potentially identify vacant properties as a modifiable target for intervention to reduce urban crime and suggest that community-based programs aiming to enhance informal social control and collective efficacy may be as important as broken window policing programs.


2020 ◽  
pp. 139
Author(s):  
Merlin F. A. Lerebulan ◽  
I Gusti Agung Ayu Rai Asmiwyati ◽  
I Made Sukewijaya

Evaluation of type and planting system at the median road of Ir. SoekarnoMedian strips the City of Saumlaki, Maluku Tenggara Barat. Planting plants in the median strip Ir. Soekarno was dominated by Trembesi trees (Samanea saman) with tree branches that grew beyond the median strip. It was quite dangerous for road users because the Trembesi trees can easily be fallen when exposed to strong winds. Despite its problems, the Trembesi tree had ecological potential benefits such as the highest oxygen-producing and pollutant-absorbing capacity. This study aims to determine and evaluate the types of plants in terms of the physical categories and functions of plants and spacing. This study was located in Ir. Soekarno Road, South Tanimbar District, Town of Saumlaki, Maluku Tenggara Barat Regency. The standard of assesment for median road plant used The Guidelines Regulation of Public Works Minister 2008. Survey method with quantitative descriptive approach was used was this study by taking four samples of the median road segment. The physical assessment results for the four samples varied, those were moderate, good, and very good. The assessment result of functions in each segment had been fulfilled the categories with good and very good criteria, howevere the function needs to be improved. The value of distance assessment for each segment varied, those were good and very good. In order to increase plant distance category, it was necessary to add plants in each segment.


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