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1.
Ryan J. Bunting Oliver Yang Chang Christopher Cowen Richard Hankins Staci Langston Alexander Warner 《The Professional geographer》2018,70(1):34-46
The combination of crime mapping and geospatial analysis methods has enabled law enforcement agencies to develop more proactive methods of targeting crime-prone neighborhoods based on spatial patterns, such as hot spots and spatial proximity to specific points of interest. In this article, we investigate the spatial and temporal patterns of the neighborhood crimes of aggravated assault and larceny in 297 census tracts in Miami–Dade County from 2007 to 2015. We use emerging hot spot analysis (EHSA) to identify the spatial patterns of emerging, persistent, continuous, and sporadic hot spots. In addition, we use geographically weighted regression to analyze the spatial clustering effects of sociodemographic variables, poverty rate, median age, and ethnic diversity. The hot spots for larceny are much more diffused than those for aggravated assaults, which exhibit clustering in the north over Liberty City and Miami Gardens and in the south near Homestead, and the ethnic heterogeneity index has a moderate and positive effect on the incidence of both larceny and aggravated assaults. The findings suggest that law enforcement can better target prevention programs for violent versus property crime using geospatial analyses. Additionally, the ethnic concentration of neighborhoods influences crime differently in neighborhoods of different socioeconomic status, and future studies should account for spatial patterns when estimating conventional regression models. 相似文献
2.
大城市低收入邻里社会贫困的测度差异与成因 总被引：5，自引：1，他引：4
社会贫困是对居民的社会保障和福利的享有情况、社会参与和融合等生活状况的测度。利用中国3 大典型地域、6 个代表城市、3 类邻里的1809 份个体问卷调查数据, 本文选取13 个相关指标, 判定个体是否处于社会贫困状态, 利用回归模型探究其影响因素, 并分析社会贫困现象在不同邻里、不同城市集聚的分异特征。研究发现, 6 个城市间的社会贫困集聚程度顺序为东部、中部和西部;3 大类邻里中, 社会贫困在城中村表现最为明显, 内城居住区次之, 企业配套居住区最低。中国城市居民是否处于社会贫困状态是体制(户口类型) 和家庭(教育程度、年龄等) 因素共同作用的结果。代表体制因素的户口类型对3 类城市的社会贫困均起到影响, 东中部城市中家庭因素也有一定作用。体制因素对城中村的社会贫困起显著影响, 而家庭因素在内城居住区和企业配套居住区中作用更大。 相似文献
3.
This study contributes to the literature on applied urban geography by examining spatial patterns and processes of changing racial/ethnic diversity within the intra-urban context of Knoxville metropolitan statistical area. Knoxville embraces a diverse economic set up with opportunities in high-tech research and development, manufacturing, tertiary/service-sectors, construction, as well as entertainment industry. This serves well for its continued population growth, including minorities during 1990–2009. This paper explores how the neighborhood-level socioeconomic, demographic, and built-environment characteristics relate to tract-level racial/ethnic diversity, measured by multi-group diversity score and its components. Tools such as isarithmic surface density maps, correlations, principal components and regression analyses are used to examine processes of change. Results indicate that diversity in 1990 associates with negative change whereas diversity in 2000 associates with positive change. Though overall diversity sprawls and increases during 1990–2009, diversity among non-White declines during 2000–2009 and shows spatial confinement. Regressions suggest complicated mosaics of changing neighborhoods, providing evidence of invasion-succession, filtering and resurgence of ethnic-enclaves in specific neighborhoods. Concerning the six counties of the MSA, Knox is the most diverse whereas Union the least, though the share of Hispanics tops in Loudon and Asians in Knox. In terms of strategic planning, findings from this research can be used in creating equitable and sustainable urban communities that can improve the overall well-being of people by reducing racial/ethnic and socio-economic disparities that might occur as undesirable consequences of fast increasing diversity. 相似文献
4.
Crime is both a factual and perceptual component of the urban landscape, seemingly both a societal pathology and the consequence of economic disparity between social groups. Crime has a spatial structure that can be revealed by mapping. Urban crime has a spatial multiplier effect that changes the values and perceptions of how people see urban space, and which jeopardizes the quality of life of a city's inhabitants. In this research we examine the question of whether the geography of actual criminal acts is echoed by peoples' perceptions of crime, what might be termed their “spaces of fear”. We ask how the fear of crime is associated with reported urban crime. Urban crime incidents have been increasing in Viçosa, Minas Gerais, Brazil. We assembled crime information about Viçosa from two sources: first, crime as reported to the police and second, crime as perceived by city residents and measured by surveys and interviews. Reported criminal acts reveal a clustered geography, focusing particularly on the Downtown area, where there is a concentration of urban wealth and potential victims are more numerous. Offenses against property were focused on Downtown, while offenses against the person were located mostly in peripheral areas. The widespread feeling of insecurity in the city's neighborhoods, reflecting the fear of becoming a victim of violence and crime, was common throughout the city. Results confirmed the conclusion of past studies showing that the fear of violence and crime are not directly related to increasing numbers of criminal reports. Sites with higher incidence of crimes are not places with higher levels of fear. Rather than being geographically explainable “spaces of fear”, the spatial distribution of the fear of violence and crime appears to be unrelated in Viçosa, and neither is clustered or dispersed in any measurable way. 相似文献
5.
The main aim of this article is to analyze the relationships between the spatial patterns of residential burglaries and the socioeconomic characteristics of neighborhoods in London, Ontario. Relative risk ratios are applied as a measure of the intensity of residential burglary. The variation in the risks of burglary is modeled as a function of contextual neighborhood variables. Following a conventional (global) regression analysis, spatial variations in the relationships are examined using geographically weighted regression (GWR). The GWR results show that there are significant local variations in the relationships between the risk of residential burglary victimization and the average value of dwellings and percentage of the population in multifamily housing. The results are discussed in the context of four hypotheses, which may explain geographical variations in residential burglary. The practical implication of the GWR analysis is that different crime prevention policies should be implemented in different neighborhoods of the city. 相似文献
6.
Crime in Urban Post-Disaster Environments: A Methodological Framework from New Orleans 总被引：1，自引：1，他引：0
《Urban geography》2013,34(4):488-510
This paper considers the interrelationship between residential occupancy status, blight, and crime. An analytical frame is provided for a fine-scale analysis that is sufficiently flexible to capture both spatial and temporal dynamism in field-collected data. Unlike other works linking crime to evidence of disorder within neighborhoods, this paper considers this relationship in terms of neighborhoods affected by an external event (natural disaster), which results in more dynamic spatial and temporal patterns as the neighborhood is in a state of flux. As a result, new means of data collection and analysis are required, as any fine-scale relationship is longitudinal as well as cross sectional. The focus here is on the interrelationship of post-disaster residential occupancy, building conditions, and crime incidence for the Holy Cross neighborhood of New Orleans as it recovers from Hurricane Katrina. Results suggest that crime is inversely related to the amount of activity on a recovering street. 相似文献
7.
Gregory D. Breetzke 《Urban geography》2018,39(8):1195-1220
Crime inequality in neighborhoods by race is blamed on social inequalities borne out of segregation and economic discrimination. South Africa is a country synonymous with racial-spatial segregation and discrimination as a result of legislatively enforced policies of the former apartheid government. This study examines whether urban crime inequalities by race exist in the city of Tshwane, South Africa and identifies the empirical causes of these crime inequalities. Violent and sexual crime was found to concentrate in Black African neighborhoods, while property crime was concentrated in neighborhoods classified as “Mixed”. The causes of crime in neighborhoods were found to vary across racial groups with results suggesting non-uniformity in the extent to which the various constructs impact crime based on race. The results challenge the notion that segregation and economic discrimination uniformly impacts affected communities. Explanations for the findings are provided in the context of an increasingly eclectic post-apartheid South African city. 相似文献
8.
Elizabeth A. Richardson Jamie Pearce Rich Mitchell Niamh K. Shortt 《The Professional geographer》2013,65(1):153-170
The health impacts of simultaneous exposure to multiple adverse environmental factors are of concern in the United Kingdom. UK-wide indicators exist, but context-specific finer resolution measures are lacking. An environmental deprivation index was developed for 398 neighborhoods (average population = 760) in a Scottish council area, including measures of air pollution, noise pollution, traffic environment, undesirable land uses, and crime. Adverse environmental conditions were related to ill health in the region and implicated in wider socioeconomic health inequalities. The results suggest an independent role for environmental deprivation in explaining poor health and health inequalities. 相似文献
9.
《Urban geography》2013,34(3):187-211
Neighborhood variations in crime incidence rates are most commonly interpreted through the lens of social disorganization theory, or a "communities and crime" perspective. This approach typically articulates explanation for crime by focusing on the characteristics of communities—a unitary scale most commonly equated with neighborhoods. We argue that this perspective fails to recognize the importance of broader urban geographic contexts, and offer an extension that sees geographically contingent processes functioning at multiple scales simultaneously. We develop this perspective applied to the "spread effects" of public housing on violent crime in surrounding neighborhoods: these spread effects are conditioned by the nature of the urban contexts through which they operate. Specifically, deeply divided and racialized patterns of residential segregation at least partially define the contexts that condition public housing's effect on crime. We examine our perspective using early 1990s block group data for the City of Atlanta and find substantial evidence in support of our perspective. In particular, we find that Techwood Homes, the nation's first federally constructed public housing project, exerted different geographic spread effects in predominantly White than in predominantly Black portions of the city. By failing to recognize the complexity and contingency of public housing's geographic effect on crime in surrounding neighborhoods, previous approaches substantially overestimate crime in White areas, and underestimate crime in Black areas. 相似文献
10.
There have been a great number of debates about the impacts of trees on crimes: some researchers believed that trees are a crime facilitator because of the concealment provision for potential criminals, while others argued that they are a crime deterrent because of the increased surveillance possibility and the therapeutic effect on psychological fatigue. To better answer this question, this study incorporated detailed tree features by using multi-source remotely sensed data at a very high resolution into environmental criminology analysis across the entire City of Milwaukee. Trees were extracted from aerial photographs, and broken down into two categories based on their heights to consider the effects of tree height on view obstruction. By controlling for confounding socioeconomic variables, the relationship between crimes and a series of composition and configuration indicators of trees with different height were investigated by using global and local spatial regressions. Results from classic and spatial statistical techniques finds complicated relationship between crimes and trees, which can be summarized in two aspects. First, the mixed effects of trees can be observed among different crime types. Second, the trends of spatial nonstationarity of the composition and configuration of trees with different heights were observed across the entire study area. The study outcomes could provide reasonable implications for making appropriate policies for crime prevention through environmental design to strengthen neighborhoods and communities in a city. 相似文献
11.
This paper investigates the complex demographic and social changes that have occurred in the neighborhoods of fast-growing United States metropolitan areas emerging as nodes in megapolitan regions between 1980 and 2010. A neighborhood typology is created using k-means cluster analysis to examine the demographic and housing characteristics, and geographic distribution, of neighborhoods that have existed in rapidly growing metropolitan areas. A socioeconomic index is created using principal component analysis (PCA) to analyze socioeconomic conditions within neighborhoods. Using data from the metropolitan areas of Las Vegas, Nevada; Austin, Texas; and Raleigh, North Carolina, this study identifies five neighborhood types, each of which has distinctive geographic and socioeconomic trends. The geographic orientation of each metropolitan area within their larger megapolitan region appears to have a role in the geography of neighborhood change. The results are also discussed in relation to human ecology, immigration, and economic restructuring. 相似文献
12.
Borrowing methods from epidemiology, studies of spatiotemporal regularities of crime have been booming in various industrialized countries. However, few such attempts are empirical studies using crime data in developing countries due to a lack of data availability. Utilizing a recent burglary dataset in Wuhan, the fourth largest city in China, current research applied the sequential kernel density estimation and the space–time K-function methods to analyze the spatiotemporal changes of hotspots of residential burglaries. The results show that, both spatial and spatiotemporal clustering exists. The hotspots were relatively stable over time. The space–time clustering, however, shows significant concentrations both in space and over time. In addition, analytic results show significant effects of distance decay in terms of occurrences of burglary incidents along the spatial and temporal dimensions. Moreover, findings from the research provide critical information on the space–time rhythm of crime, and therefore can be utilized in crime prevention practice. Finally, the implications of the findings and limitations are discussed. 相似文献
13.
河南省县域经济实力时空差异研究 总被引：3，自引：0，他引：3
综合考虑经济发展水平指标、居民生活水平指标和经济结构指标,利用加权主成分分析方法、自然断点法及趋势分析法对多时点数据进行分析,揭示河南省县域经济实力时空差异特征。研究表明:经济发展水平与经济结构及居民生活水平具有较高的相关度,河南省县域经济实力的空间地域差异及空间分异显著,但近10年来总体变化趋势不大;近十年河南省各类型县域的数量波动较大,其空间分布格局的演变由原来典型的"单一核心"结构发展成明显的"多核心"结构;河南省县域总体经济实力普遍较低,且发达县域和不发达县域两极分化显著,两者在经济实力排名上虽有波动,但变化不大;核心城市的带动效应显著,河南省县域经济实力增长呈现明显的"双核心"驱动。 相似文献
14.
《The Journal of geography》2012,111(9):526-529
Abstract Urban change, university growth, and partial cultural realignment within the student-youth community contiguous to the Boulder campus of the University of Colorado have all contributed to the development of a youth ghetto. As an analytical framework for community analysis, a five-part ghetto model is applied to the community including (1) spatial enclave, (2) minority status, (3) inferior status, (4) lack of choice, and (5) social disorganization. Increasing importance of non-students in the youth ghetto combines with substandard housing, drug abuse, and rising crime as all-important ingredients in a ghettoization process that has resulted in urban blight for most neighborhoods adjacent to the Universty, and community disfunction (University Hill Riot, May 21-23, 1971). As a stabilizing force the University and the larger community are the likely candidates to initiate measures to effect a reversal in the trend. Until this is done the future of both remains uncertain. 相似文献
15.
基于经济社会活动视角的城市空间演化过程模型 总被引：4，自引：0，他引：4
中国的快速城市化带来了诸多问题,亟需制定合理有效的城市空间政策以确保城市发展的可持续性。因此,开展城市空间发展过程模拟、实施政策检验对于推进新型城镇化和城市的健康发展具有重要意义。本文基于“土地利用/交通相互作用模型”(Land Use/Transport Interaction Model, LUTI),以经济社会活动为切入点,构建了城市空间演化过程模型(Urban Activity Spatial Evolution Model, UASEM),并进一步给出了UASEM模型各子模型的具体实现和模块之间衔接的逻辑结构,从可操作层面给出了模型的实现方法。该模型可用于模拟城市空间演化过程、检验政策实施等,将成为城市空间可持续发展模拟分析研究的重要工具。 相似文献
16.
以往关于作案地选择的研究,缺乏考虑不同属性群体间的空间差异。以中国ZG市为例,利用离散空间选择模型,基于不同年龄属性的视角,进行街头抢劫者作案地选择及影响因素的对比分析,并据此提出犯罪防控建议。研究发现：① 不同年龄的街头抢劫者作案地选择存在显著的空间差异。即少年抢劫者趋向在劳动密集型产业集聚区和中小学密集区作案,而年轻的成年抢劫者仅趋向于劳动密集型产业集聚区,但成年抢劫者的作案地却偏向于客运站所在社区及其周边地区。② 年龄相关的活动节点、周围人口的监护作用和青少年人口比例是形成这种空间差异的主要因素。研究结果对犯罪防控与社会治理具有重要的参考意义,如：① 在青少年抢劫者频繁作案的劳动密集型产业集聚区,调控网吧、酒吧等年龄相关活动节点的数量。② 在成年抢劫者作案密集的客运站及其周边社区,规划一定数量周围人口的持续存在,以发挥出更好的监护作用。③ 在青少年人口比例较高的社区,通过问题青少年的摸底调查,加强精准引导与帮扶。论文首次验证了不同年龄的街头抢劫者作案地选择差异及成因,并在理论上弥补了犯罪者作案地选择缺乏细分人群的不足。 相似文献
17.
乌鲁木齐市职住空间组织特征及影响因素 总被引：1，自引：1，他引：0
本文借助职住分离指数分析法从宏观层面分析了乌鲁木齐市辖区的职住空间匹配状况,利用问卷调查数据,从微观角度分析了不同类型居住区居民的通勤距离和通勤时间。研究发现：职住空间分离是乌鲁木齐城市空间结构的突出特征;全市职住空间不匹配程度较大,居住主导区的街道有35个,占街道总数的44.3%;就业主导区的街道有25个,占街道总数的31.65%;基本匹配区的街道仅有7个。居住区类型、居民受教育程度、职业类型、收入水平、住房形式等社会经济属性对其职住分离程度均有一定程度的影响;采用GWR模型定量分析了职住空间关系的影响因素,认为学历构成、住房产权性质、职业类型、流动人口以及住房面积是影响乌鲁木齐市职住空间关系的主要因素。 相似文献
18.
基于计划行为理论的城市居住分异对居民健康活动的影响研究 总被引：1，自引：0，他引：1
虽然国内外大量研究探讨了居住环境与健康关系,但较少将城市地理学与社会心理学结合,从理性行为角度分析居住环境对居民身体活动的影响机制。论文引入计划行为理论的分析框架,以中国居住空间分异的特殊性为切入点,以南京为实证对象,运用结构方程模型解析居民态度、主观规范、知觉行为控制和行为意向对居民身体活动的影响路径。结果表明：传统社区、单位社区、保障房社区、城中村和商品房小区的居民社会经济特征和健康活动存在明显差异。影响居民健身意向和健身活动的最重要因素为知觉健身行为控制强度感知。消减居民健身的主观限制,包括为其提供健身设备、公共健身资源和对健身进行补贴,可提升其健身活动水平。研究结果可为通过改善建成环境进行健康行为的主动干预提供对策建议。 相似文献
19.
交通投资、经济空间集聚与多样化路径——空间面板回归与结构方程模型视角 总被引：2，自引：2，他引：0
交通投资作为经济增长的加速器备受空间规划与发展政策的重视,其对经济增长的多样化影响一直是研究热点。然而,交通投资对经济的影响机理及路径仍存在争议,且较缺乏地理差异和空间关联的视角。为了全面理解交通投资对经济的空间集聚效应与多样化路径,首先基于1997-2015年中国交通投资与经济增长的省际数据,采用空间面板回归（Spatial Panel Regression）分析考虑空间关联的交通投资的经济影响,随后采用结构方程模型理解交通投资对经济增长的多样化路径。结果表明：① 无论是混合最小二乘回归（Pooled OLS）、固定效应面板模型还是空间面板回归,都显示了交通投资对经济增长的显著作用。空间面板回归结果指出交通投资有利于经济活动空间集聚,但考虑空间自相关影响后,对经济增长作用呈现降低;② 交通投资的经济影响具有地理差异与时滞效应,其对东部地区的经济作用明显高于中西部地区,且有利于空间集聚;随着时间的推移,交通投资的经济效应逐渐增强;当前投资和前期投资对经济增长均有促进作用,但前期投资效果更显著,并驱动经济活动的空间分散;③ 在影响路径上,交通投资对经济的直接效应低于间接效应,多样化影响路径主要通过增加关联产业投资、促进就业增长、推进城镇化等方式产生。 相似文献
20.
The spatial stability of alcohol outlets and crime in post‐disaster Christchurch,New Zealand 
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下载免费PDF全文 The devastating Canterbury Earthquakes of 2010 and 2011 left an indelible mark on the city of Christchurch. The social and economic upheaval that immediately followed the Earthquakes has, in time, been replaced with a period of rebuild and transformation. In this study we investigate the effects that the Canterbury Earthquakes had on two important and inter‐related phenomena in the city: alcohol availability and crime. More specifically, we investigate how alcohol outlets and crime across six different categories changed in magnitude and spatial distribution pre‐ (end‐2009) and post‐ (end‐2014) earthquake. We do this using a variety of geospatial techniques including a relatively new method: the spatial point pattern test which allows for the identification of changes in spatial patterns at the local level. Results indicate that both alcohol outlets and crime have decreased in magnitude since the Canterbury Earthquakes. Using the spatial point pattern test we found statistically significant differences in spatial point patterns for both alcohol outlets and all crime types pre‐ to post‐earthquake. The similarity in the differences of the spatial distributions of alcohol outlets and crime provides a first empirical clue of their potential association in the city post‐earthquake. 相似文献