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城中村居住隔离是否对入室盗窃犯罪产生影响?OA

Does Residential Segregation Associated with Villages in the City Affect Burglaries?—A Case Study of ZG City

中文摘要英文摘要

为揭示城中村居住隔离与入室盗窃犯罪的关系,文章以中国ZG市环城高速内123个城中村社区为研究对象,使用卫星影像提取城中村地块,利用高德地图建筑图层数据反演城中村人口,在传统隔离指数的基础上构建邻域和局域隔离指数加入模型分析,并通过负二项回归模型检验3种隔离指数对入室盗窃犯罪的影响.研究表明,3种隔离指数均未对入室盗窃产生显著的影响,城中村社区的居住隔离并非其入室盗窃高发的显著因素.究其原因可能是不同居住隔离的产生机制与影响所致,国内城中村的居住隔离更多是由土地管理制度驱动的一种过渡性、嵌入式的隔离,而西方社区则更多是因种族/历史驱动的持久且封闭的隔离.区别于西方居住隔离会严重阻碍居民的其他日常活动,城中村社区内的居住隔离却并未将影响延伸到居住以外的其他居民日常活动.城中村居民日常活动的高流动性可能削弱了居住隔离本身的效用.此外,在其他协变量方面,老年人口比例和高学历人口比例对城中村社区入室盗窃有显著负向影响,而餐饮-便利店数量、公交车站数量和城中村面积呈显著正向影响.

Crimes in villages in the city(ViCs)seriously affect social stability,with the unique residential segregation phenomenon serving as an important entry point for analyzing crime issues.However,the current research lacks systematic studies based on spatial statistics on the relationship between residential segregation and burglary in ViC communities.This study aimed to fill this gap.The study area consisted of 123 ViC communities within a ring expressway in ZG City,China.We extracted ViC plots using satellite imagery and estimated the ViC population using the building footprints and heights provided by Amap.Neighborhood and local segregation indexes were developed.These indices and the traditional segregation index were used to test the relationship between residential segregation and burglary.The covariates were selected with the guidance of social disorganization theory,rational choice theory,and crime pattern theory.The results of the negative binomial regression models show that,first,none of the traditional segregation index,neighborhood segregation index,or local segregation index has a significant impact on burglary,indicating that residential segregation in ViC communities is not a statistically significant factor in explaining burglary in ViC communities.This finding contradicts those of Western local-scale studies that show significant effects of residential segregation on crime.This contradiction may be due to the essential differences in the formation of residential segregation between China and the West,leading to markedly different effects on residents' daily activities.Western research has found that residential segregation tends to confine people's activities to residential neighborhoods,thereby amplifying segregation effects.However,residential segregation in ViC communities does not affect residents' daily activities outside of their residences,and the high mobility of daily activities among ViC residents may weaken the effects of residential segregation.Meanwhile,the proportions of the elderly and population and the proportion of highly educated populations have significant negative effects on burglary because of their informal social control in communities.The number of catering and convenience stores,the number of bus stops,and the ViC area had significant positive effects on burglary,indicating that communities with more facilities acting as crime generators,better accessibility,and larger ViC areas were more susceptible to burglary.By introducing neighborhood effects to enrich segregation measurements,this study overcame the limitations of the traditional index that ignores spatial associations.However,none of the indices showed a significant association with burglary.This study provides empirical evidence for the lack of a relationship between residential segregation and burglary in the Chinese context at the community level.The findings also offer insights that may help improve policing practices and crime prevention in ViC communities,and contribute to enhancing the effectiveness of public security management in urban villages.

徐冲;王昭尧;柳林;麦琬宜

广州大学地理科学与遥感学院,公共安全地理信息分析中心,广州 510006广州大学地理科学与遥感学院,公共安全地理信息分析中心,广州 510006广州大学地理科学与遥感学院,公共安全地理信息分析中心,广州 510006||辛辛那提大学地理系,辛辛那提OH45221-0131,美国广州大学地理科学与遥感学院,公共安全地理信息分析中心,广州 510006

社会科学

城中村居住隔离入室盗窃犯罪地理负二项回归

villages-in-the-cityresidential segregationburglarycrime geographynegative binomial regression model

《热带地理》 2026 (6)

1126-1138,13

国家自然科学基金:城市犯罪的社区分异模式与机理(41601138)

10.13284/j.cnki.rddl.20250548

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