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1.
利用北京社会调查、法律文书、兴趣点、路网、定位数据,发现盗窃及暴力犯罪密度对犯罪恐惧感并无显著关联或影响偏弱,犯罪活动与犯罪恐惧感存在“匹配且具高安全性”“匹配且具高危险性”“不匹配且比主观感知更危险”“不匹配且比主观感知更安全”等类型。脆弱人群更易高估安全风险;防卫空间及街道眼理论分别适用于解释客观犯罪和主观感知,高密度、混合型、密路网的可渗透环境容易产生比主观感知更危险的情形;物理与社会失序、居住不稳定性会产生比主观感知更安全的情形;高人员流动性及高地位社区的居民则易低估安全风险;出入管控和环境维护能起到减犯罪、降恐惧的双重作用。  相似文献   

2.
犯罪热点时空分布研究方法综述   总被引:5,自引:3,他引:2  
犯罪在地理时空内并不是均匀分布的,而是表现出明显的时空聚集特性,这种聚集性常用“犯罪热点”表述.基于对犯罪热点的理解,从犯罪热点时空分布模式、犯罪热点成因分析以及犯罪热点时空转移及预测等3 个方面总结了当前国内外犯罪热点时空分布相关研究方法的进展.最后,对该领域研究进行了总结与展望.总体上,国内相关研究较少,尚需进一步结合中国国情,提出适用方法.另外,也需要通过相关犯罪理论的深入研究以及其他领域研究方法的借鉴,实现犯罪热点时空分布研究方法的突破与创新.  相似文献   

3.
Summary This paper argues that the study of crime and the fear of crime in rural areas reveals much about the geography of crime, policing and rural society. Drawing upon a crime and safety survey conducted with residents of a rural parish in Worcestershire it establishes a link between fear of crime and 'cultural threats' to residents' dominant constructions of rurality. It concludes by considering the 1998 Crime and Disorder Act and its implications for rural policing and society.  相似文献   

4.
犯罪共生空间的类型识别及其特征分析   总被引:2,自引:1,他引:1  
以ZG市公共空间盗窃、入室盗窃、寻衅滋事、接触诈骗、抢劫抢夺犯罪为研究对象,采用K均值聚类法识别不同类型的犯罪共生空间;并通过决策树模型分析了不同犯罪共生空间的特征。结果表明,ZG市犯罪共生空间可划分为4种类型:无犯罪类型共生区;公共空间盗窃和接触诈骗犯罪共生区;所有类型犯罪共生区;入室盗窃、寻衅滋事和抢劫抢夺犯罪共生区。城市中各异的社会环境和建成环境产生了不同类型的犯罪机会,而且各类社会环境和建成环境之间存在着条件交互性作用。研究结果为制定犯罪的联合防控策略和实现有限警力的合理布控并且提高执法效率提供了理论基础。  相似文献   

5.
付逸飞 《世界地理研究》2021,30(5):1005-1014
采用核密度估计和Aoristic analysis等方法分析了2015年A市CP区入户盗窃警情的时空分布热点,并通过热点矩阵分类进一步对热点内的犯罪时空分布格局及其内在犯罪机理进行分析。结果显示:CP区共有3个犯罪热点区域和2个集中时段;3个热点区域分别为时间集中-空间聚集型、时间集中-空间分散型、时间集中-空间热点型;同时,影响入户盗窃犯罪的机理在于犯罪主体关联要素、犯罪客体关联要素、犯罪环境关联要素在时空上的密切耦合,共同影响入户盗窃犯罪活动的形成;提示在预防及控制犯罪“热点”中,需要采取更有针对性的防范措施和对策。  相似文献   

6.
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   

7.
This paper examines the spatial and social distribution of the fear of crime and the relationships of such fear with aspects of the environment. Through an analysis of a questionnaire survey conducted in a variety of areas in Stoke-on-Trent in the English Midlands, it considers both the causes of the fear of crime and the associations that have been identified with other dimensions shaping vulnerability. It concludes by offering some guidance on how to address the differences between those populations who fear crime most and those who are most vulnerable.  相似文献   

8.
Cecilia Wong 《Area》1997,29(3):228-240
Summary The recent British Crime Surveys have confirmed that there are significant spatial variations in the distribution of crime risk. However, it is notoriously difficult to represent the spatial patterns in Britain convincingly, owing to the statistical inadequacy of the official crime data. This paper discusses the use of home contents insurance data as a proxy measure of crime risk, and examines the changing spatial distribution of crime risk in the two Northern conurbations of Merseyside and Greater Manchester. The analysis provides an explicit urban focus in order to establish links between the spatial distribution of crime risk and other patterns of deprivation or inequality in the urban environment. Since insurance data is used as a proxy measure of crime risk in the Department of the Environment's Index of Local Conditions, this analysis serves as an interesting basis for both academic and policy discussion.  相似文献   

9.
毒品犯罪是全球共同关注的犯罪问题,许多学者从不同的专业领域开展了大量研究。已有文献对毒品犯罪的成因进行分析,由于数据的局限性,较少从微观尺度对毒品犯罪热点的时空分布进行研究。论文以SZ市NH、DM街道内社区为例,基于毒品犯罪案件数据,利用探索性数据分析和时空扫描识别毒品犯罪时空热点分布,结合用地类型、动态人流量等数据定量分析毒品犯罪案件的时空分布影响因素。研究结果如下:① 毒品犯罪主要分布在商业发达地区和城中村地区,且城中村的毒品犯罪时空热点分布的起始时间较商业发达地区更早,影响范围也更大;② 毒品犯罪在不同用地类型分布是不均匀的,其中“住宿旅游娱乐”“商业百货批发零售”“餐饮经营服务品牌”3类用地类型与毒品犯罪具有高度相关性;③ 人流量高热区的面积占比与毒品犯罪的发生有一定的相关性,高热区面积占比大于5%或为0时,能够抑制毒品犯罪的发生;高热区面积占比在0~5%之间,能够促进毒品犯罪的发生。  相似文献   

10.
Voronoi Diagrams and Spatial Analysis of Crime   总被引:1,自引:0,他引:1  
A range of spatial analyses are used in the field of crime mapping, such as kernel density estimation, Ripley's K-function, and spatial autocorrelation, but there is limited use of Voronoi diagrams (VDs). The goal of this article is to contribute to the spatial analysis of crime through the use of VDs. We use four years of commercial robbery data from Campinas, Brazil, and employ several VD techniques: (1) We analyze crime concentrations through the properties of VDs—area and number of vertices—and coverage curve; (2) we introduce a new crime geovisualization with VD in three dimensions; and (3) we apply a network VD technique to crime analysis. The results demonstrate associations between these VD techniques and the ability of the researcher to recognize crime patterns associated with crime concentration, crime along pathways, and the highly regularized distribution of crime in limited areas spatially.  相似文献   

11.
柳林  姜超  李璐 《地理科学》2019,39(1):61-69
采用双重差分法,对苏州市姑苏区2014~2016年的警情数据进行分析,评估警用治安视频监控的犯罪防控效果。结果表明,视频监控对犯罪具有明显的抑制性作用。在案件类型上,视频监控对盗窃类案件的防控效果较好,但对盗窃电动自行车、盗窃电动车电瓶的防控效果较小。在时间维度上,与节假日相比,对工作日犯罪的抑制效果更好;与晚上相比,对白天犯罪的抑制效果更好。针对通过局部空间自相关分析所获取的重点区域,与警务人员访谈和实地调研后发现,视频监控的犯罪防控效果与周边地理环境、人流密集程度、警务情况等密切相关。  相似文献   

12.
中国拐卖儿童犯罪的地理特征研究   总被引:9,自引:4,他引:5  
李钢  谭然  王会娟  颜祥  邵琰 《地理科学》2017,37(7):1049-1058
基于从公益平台获取的上万条寻亲记录数据,从犯罪地理学的视角探究1980~2015年中国拐卖儿童犯罪的地理特征。研究发现: 拐卖去向以被收养为主,总量上男童多于女童,频率上低年龄段高发,可分为4个贩运类型。犯罪量自1980年以来呈现“倒勺”型波动态势,1989~1998年为高发区间,犯罪受打击力度与人口政策影响明显。 犯罪量月变化呈现两个轻微倒“U”型格局,犯罪季节变化较小,夏半年高于冬半年。 犯罪呈现“西部集中拐出,东部分散拐入”的“三片两线”的“场-流”空间格局特征,并有一定的带动与回流效应。当前拐卖儿童犯罪的空间集聚程度减小,而扩散程度增加,由区域性犯罪发展成全国性犯罪。最后从不同角度和层面对未来的研究作了展望。  相似文献   

13.
街头抢劫者前犯罪经历对其后作案地选择的影响   总被引:1,自引:0,他引:1  
作案地选择是犯罪地理学的研究主题。已有的重复作案地选择的研究表明,犯罪者“前案件”作案地选择对他们“后案件”作案地选择具有影响,但以往研究关注的是先前的犯罪时间和地点对其后续作案地选择的影响,仍未检验犯罪者在“前案件”中犯罪经历的具体作用。因此,论文以中国东南沿海ZG市为例,利用街头抢劫者的抓捕数据和混合Logit模型,聚焦探析街头抢劫者先前的个体犯罪经历对他们随后的作案地选择的影响。研究发现:街头抢劫者在“前案件”中的犯罪间隔、犯罪出行和当场被捕等个体犯罪经历对其“后案件”作案地选择具有强烈的影响,即“前后案件”的犯罪间隔越临近、“前案件”犯罪出行距离越短,以及“前案件”未当场被捕,则大大增加了街头抢劫者返回到先前抢劫区域再次犯罪的可能性。并通过警察访谈和结合理论分析,发现“前案件”未当场被捕是由犯罪者当场被捕的恐惧感、警察特殊的干预方式,以及社会凝聚力和犯罪防控的相互作用而形成。研究结论可为警务部门的“事前防控”与“主动处置”提供一定的参考。  相似文献   

14.
The Ambient Population and Crime Analysis   总被引:3,自引:0,他引:3  
This article uses an alternative measure of the population at risk, the ambient population (provided by Oak Ridge National Laboratory), in crime rate calculations. It is shown through a variety of statistical analyses at two different scales of aggregation that this alternatively calculated crime rate is not always related to the conventionally calculated crime rate. The implications of this finding are that past theoretical testing and policy formation might have been based on spurious results, showing the importance of remaining current with the developments of geographic information science technologies and data availability when undertaking a spatial analysis of crime.  相似文献   

15.
北京市长安街沿线的扒窃案件高发区分析及防控对策   总被引:2,自引:1,他引:1  
本文利用空间分析方法,对北京市长安街沿线的扒窃类案件的空间分布特征进行了研究。首先分析了长安街沿线的犯罪分布状况,发现该长安街沿线共存在3个异常明显的犯罪高发区域,分别对应于西单商业圈(A)、建国门路段(B)和大望路—四惠路段(C),通过将长安街沿线的常住人口与兴趣点(Point of Interest, POI)分布进行比较,发现案件与POI密度较高的区域存在较高的相关性。随后,利用核密度估计方法和时空热点矩阵方法分析了3个异常明显的案件高发区域内的犯罪活动时空分布模式,结果表明:高发区域A的犯罪高发时段为上午10时至下午18时,其中峰值出现在正午12时,犯罪活动主要集中在区域内的一些大型购物场所内;高发区域B和C的犯罪高发时间均为上午6时和下午18时前后,与早晚交通高峰时间比较一致,犯罪活动主要集中在区域内比较重要的公共交通站点附近。最后,根据长安街沿线案件高发区域内犯罪活动的时空规律性特征,提出了犯罪防控措施与建议。  相似文献   

16.
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   

17.
《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   

18.
The fear of crime can significantly reduce the quality of life of individuals, yet little is known about what neighbourhood‐level factors drive feelings of vulnerability in New Zealand. Even less is known about the impact that recorded crime has on individuals' fear in the country. In this study, we examined the neighbourhood‐level factors related to fear of crime in Christchurch, focusing specifically on whether recorded crime in neighbourhoods influences fear. The fear of crime in Christchurch was found to be the greatest in more affluent, ethnically homogenous and residentially stable neighbourhoods, while recorded crime levels were found to be relatively lower in these neighbourhoods.  相似文献   

19.
This research analyzes changes in crime rates by city size and determines the extent to which these changes can be explained by socioeconomic variables. More particularly it addresses rates of change in mean crime rates for violent and property crime between 1976–1984 and 1985–1994 for all U. S. cities, then compares results to Ohio cities. It provides a detailed analysis of changing crime rates in 111 Ohio cities with populations between 10,000 and 99,999 inhabitants and attempts to account for crime differentials between these cities employing linear regression and factor analysis. Results indicate that crime is significantly related to poverty and its associated conditions and processes.  相似文献   

20.
《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   

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