基于多层次模型的广州门禁小区家庭入室盗窃环境影响分析

doi:10.13284/j.cnki.rddl.002860

热带地理 ›› 2016, Vol. 36 ›› Issue (4): 610-618.doi: 10.13284/j.cnki.rddl.002860

基于多层次模型的广州门禁小区家庭入室盗窃环境影响分析

杨刚斌^1,2，柳林^1,3，何深静⁴，徐冲⁵

（1．中山大学地理科学与规划学院综合地理信息研究中心，广州 510275；2．中山市规划设计院，广东中山 528403；3．Department of Geography，University of Cincinnati，USA；4．香港大学城市规划及设计系，香港；5．广州大学地理科学学院，广州 510006）

收稿日期:2015-08-03 出版日期:2016-07-05 发布日期:2016-07-05
作者简介:杨刚斌（1989―），男，湖南人，工程师，硕士研究生，研究方向为城市社会、城市发展与规划，（E-mail）389189649@qq.com
基金资助:
国家自然科学基金项目大数据支持下的犯罪地理研究-犯罪时空过程精细化模拟与防控优化（41531178）；基于政治经济分析框架的中国城市更新及其社会空间后果研究（41322003）；广州大学“强校工程”项目（2015KQNCX120）

Environmental Impacts on Burglary Victimization in Gated Communities: A Multi-level Analysis in Guangzhou

YANG Gangbin^1,2，LIU Lin^1,3，HE Shenjing⁴，XU Chong⁵

（1．Center of Integrated Geographic Information Analysis，School of Geography and Planning，Sun Yat-Sen University，Guangzhou 510075，China；2．Urban Planning and Design Institute of Zhongshan，Zhongshan 528403，China；3．Department of Geography，University of Cincinnati，USA；4．Department of Urban Planning and Design，The University of Hong Kong，Pokfulam，Hong Kong；5．School of Geographical Science，Guangzhou University，Guangzhou 510006，China）

Received:2015-08-03 Online:2016-07-05 Published:2016-07-05

摘要/Abstract

摘要：

基于环境设计预防犯罪理论（CPTED）和社会失序理论，利用2012年10―12月在广州门禁小区进行的大规模入户调查数据，采用多层次回归模型从社区内部环境角度对广州门禁小区家庭的入室盗窃受害情况及其发生的环境机理进行研究。通过5个多层次回归模型的对比分析发现：家庭被盗情况主要受到家庭的住房特征和人口特征的影响，小区变量对家庭变量有非常重要的调节作用。住房特征、公共空间使用率、家庭人口特征和小区的正式控制机构失效度对家庭是否被盗有着非常显著的影响；环境形象和人口流动性、小区开放度和功能混合度通过对家庭特征的间接影响而影响家庭的被盗情况。

关键词: 门禁小区, 家庭入室盗窃, 环境因素, 多层次模型, 广州

Abstract:

Based on large-scale household survey conducted during the period from October to December, 2012, in Guangzhou, the authors studied burglary victimization and its environmental leading factors in gated community. The research variables selection of this paper is under the guidance of the CPTED (crime prevention through environmental design) and social disorganization theory. From the perspective of community environment, the paper explores the impact of environmental factors on household burglary victimization. On the basis of literature review, this paper first introduced the core elements and main ideas of CPTED theory and social disorder theory, which are broadly accepted in community crime research. Under the guidance of these elements and ideas, we finished an investigation of gated community in Guangzhou, China. Related social, economic and environmental factors are collected. Principal component analysis and cluster analysis are performed to refine the features of these selected factors. Three main components at community level and four main components at family level were extracted. To check community environment and social-economic factor’s effects on household burglary condition，hierarchical logistic regression was performed to analyze the cross scale effects between community and family factors on family burglary condition. The results of the five multi-level regression models suggest that both the community environment and family housing characteristics have significant impact on residential burglary victimization. Family burglary victimization is mostly affected by family housing conditions and demographic characteristics, while community variables have a very important role in regulating family factor’s effect. Regression results show that housing conditions, public space utilization rate and family population characteristics have significant influence on whether a house is burglarized. Furthermore, neighborhood formal control mechanisms, community environmental image, residence turnover rate, community openness and degree of function mixing through indirect effects of family characteristics have influence on household burglary victimization.

Key words: gated community, burglary victimization, environmental factors, multi-level model, Guangzhou

杨刚斌，柳林，何深静，徐冲. 基于多层次模型的广州门禁小区家庭入室盗窃环境影响分析[J]. 热带地理, 2016, 36(4): 610-618.

YANG Gangbin，LIU Lin，HE Shenjing，XU Chong. Environmental Impacts on Burglary Victimization in Gated Communities: A Multi-level Analysis in Guangzhou[J]. TROPICAL GEOGRAPHY, 2016, 36(4): 610-618.

参考文献

[1] 陈屹立．中国犯罪率的实证研究[D]．济南：山东大学，2008．

[2] 李蕤．多发性侵财犯罪研究[J]．中国人民公安大学学报（社会科学版），2006（3）：151-156．

[3] 朱晓灿．门禁住区开放度及其影响研究[D]．广州：华南理工大学，2012．

[4] 缪朴．城市生活的癌症——封闭式小区的问题及对策[J]．时代建筑，2004（5）：46-49．

[5] 刘晔．城市居住区犯罪防控初探[D]．兰州：兰州大学，2009．

[6] 周东平．环境犯罪学与情景犯罪预防理论关系辨析[M]//厦门大学日本研究所．首届中日学术交流国际研讨会论文集．厦门：厦门大学日本研究所，2006：9．

[7] 丁湘．环境犯罪学与社区警务[J]．河北公安警察职业学院学报，2006（4）：22-26．

[8] 李瑞生．空间、失序与犯罪——西方环境犯罪学研究综述[J]．新疆财经大学学报，2011（3）：43-48．

[9] 孙峰华，毛爱华．犯罪地理学的理论研究[J]．人文地理，2003，18（5）：70-74．

[10] 严小兵，焦华富．犯罪地理国际研究进展[J]．地理科学进展，2012（10）：1390-1398．

[11] 杨英姿．国外城市社区空间环境与犯罪关系理论研究综述[J]．现代城市研究，2011（2）：78-85．

[12] HEDAYATI Marzbali M，ABDULLAH A，RAZAK N A．Validating crime prevention through environmental design construct through checklist using structural equation modelling[J]．International Journal of Law，Crime and Justice，2012，40（2）：82-99．

[13] HEDAYATI Marzbali M，ABDULLAH A，RAZAK N A．The relationship between socio-economic characteristics，victimization and CPTED principles：Evidence from the MIMIC model[J]．Crime，Law and Social Change，2012，58（3）：351-371．

[14] SAKIP S R M，ABDULLAH A．Measuring Crime Prevention through Environmental Design in a Gated Residential Area：A Pilot Survey [J]．Procedia Social and Behavioral Sciences，2012，42：340-349．

[15] POYNER B．What works in crime prevention：an overview of evaluations [M]．Clarke R V Monsey，NY：Criminal Justice Press，1993：1．

[16] ZHANG L N，MESSNER S F，LIU J．A multilevel analysis of the risk of household burglary in the city of Tianjin，China[J]．British Journal of Criminology，2007，47（6）：918-937．

[17] EKBLOM P．Deconstructing CPTED and reconstructing it for practice，knowledge management and research[J]．Europe Justice and Crime Policy Research，2011（17）：7-28．

[18] GROHE B．Measuring residents' perceptions of defensible space compared to incidence of crime[J]．Risk Management，2011，13（1/2）：43-61．

[19] NEWMAN O．Reactions to the‘defensible space’study and some further readings[J]．Law Enforcement Assistance Administration，1975，12（6）：48-70．

[20] NEWMAN O．Creating Defensible Space[M]．Washington D C：US Department of Housing and Urban Development Office of Policy Development and Research，1996．

[21] BROWN B．Residential burglars judge risk：the role of territoriality [M]．Washington D C：The Urban Institute Press，1993：13，51-61．

[22] PAINTER K A T N．Surveillance of Public Space：CCTV，Street Lighting and Crime Prevention[M]．Monsey，NY：Criminal Justice Press，1999．

[23] KRAUT D T．Hanging out the no vacancy sign：eliminating the blight of vacant buildings from urban areas[J]．Criminology，1999，74（4）：1139-1177．

[24] SHAW C R，MCKAY H D．Juvenile Delinquency and Urban Areas: A Study of Rates of Delinquents in Relation to Differential Characteristics of Local Communities in American Cities[M]．Chicago：University of Chicago Press，1942．

[25] KORNHAUSER R R．Social Sources of Delinquency[M]．Chicago：University of Chicago Press，1978．

[26] Thomas Wiaf．The Polish Peasant in Europe and America[M]．Boston：Gorham Press，1920：4．

[27] BERRY B．Contemporary Urban Ecology[M]．New York：Macmillan，1977．

[28] SHORT J F．The level of explanation problem in criminology [M]．Chicago：university of Chicago Press，Beverly Hills，1985．

[29] Simcha Fagan．Neighborhood and delinquency：An assessment of contextual effects[M]．Washington D C：Department of Housing and Urban Development，1986：24，667-704．

[30] CIHAN A，ZHANG Y，HOOVER L．Police Response Time to In- Progress Burglary：A Multilevel Analysis[J]．Police Quarterly，2012，15（3）：308-327．

[31] SAKIP S R M，ABDULLAH A．Measuring Crime Prevention through Environmental Design in a Gated Residential Area: A Pilot Survey [J]．Procedia-Social and Behavioral Sciences，2012，42：340-349．

[32] JOSEPH F D．The social organization of the rural and crime in the United States：Conceptual considerations[J]．Journal of Rural Studies，2015，39：160-170．

[33] Derek Johnson，Victoria Gibson，Megan McCabe．Designing in crime prevention，designing out ambiguity：Practice issues with the CPTED knowledge framework available To professionals in the field and its Potentially ambiguous nature[J]．Crime Prevention and Community Safety，2014，16：147-168．

[34] VANIA C，ADRIAAN U，ROYA B．Security in Stockholms underground stations：The importance of environmental attributes and context [J]．Security Journal，2013，26：33-59．

[35] John Scott，Russell Hogg．Strange and stranger ruralities：Social constructions of rural crime in Australia[J]．Journal of Rural Studies，2015，39：171-179．

[36] 毛媛媛，戴慎志，沈志联．国内城市空间环境与犯罪关系研究评析[J]．人文地理，2010，25（3）：41-46．

[37] BELLAIR P E．Social interaction and community crime：Examining the importance of neighbor networks[J]．Criminology，1997，35（4）：677-701．

[38] WARNER B D，ROUNTREE P W．Local social ties in a community and crime model：Questioning the systemic nature of informal social control [J]．Social Problems，1997，44（4）：520-536．

[39] DUGAN L．The effect of criminal victimization on a household's moving decision[J]．Criminology，1999，37（4）：903-930．

[40] KIKUCHI G，DESMOND S A．A longitudinal analysis of neighborhood crime rates using latent growth curve modeling[J]．Sociological Perspectives，2010，53（1）：127-149．

[41] ELO I T，MYKYTA L，MARGOLIS R．Perceptions of neighborhood disorder：The role of individual and neighborhood characteristics [J]．Social Science Quarterly，2009，90（5）：1298-1320．

[42] TRIPLETT R A，SUN I Y，GAINEY R R．Social disorganization and the ability and willingness to enact control：A preliminary test[J]．Western Criminology Review，2005，6（1）：89-103．

[43] 张琢．中国基层社区组织的变迁[J]．社会学研究，1997（4）：15-25．

[44] 许建军．城市居住空间与犯罪预防[D]．上海：华东政法大学，2009．

基于多层次模型的广州门禁小区家庭入室盗窃环境影响分析

Environmental Impacts on Burglary Victimization in Gated Communities: A Multi-level Analysis in Guangzhou

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	朱洪平, 朱文涛, 郑荣宝. 地铁对服务业集聚的影响——以广州市为例[J]. 热带地理, 2021, 41(1): 114-123.
[2]	李嘉欣, 郑卓, 谷俊杰, 马婷, 易西兵, 汤永杰. 广州城区晚全新世环境变迁与人类活动[J]. 热带地理, 2021, 41(1): 67-81.
[3]	潘卓林, 刘晔, 刘于琪, 李志刚. 基于场域理论的城中村村民市民化研究——以广州猎德复建房社区为例[J]. 热带地理, 2020, 40(6): 981-992.
[4]	林琳, 严程棋, 杨莹, 范艺馨, 吴箐. 广州老年人小病慢病“旁路”就医行为及其影响因素[J]. 热带地理, 2020, 40(6): 993-1003.
[5]	陈嘉平, 李静, 温耀鸿. “土地租金剩余”视角下旧厂房改造为创新空间的路径研究——基于广州、深圳对比分析[J]. 热带地理, 2020, 40(5): 795-807.
[6]	边艳, 周春山, 胡锦灿. 基于住房需求意愿的广州市中产阶层住房区位选择[J]. 热带地理, 2020, 40(5): 832-842.
[7]	贺辰戋, 欧阳婷萍, 彭莎莎. 广州市表层土壤磁学性质的空间插值方法比较[J]. 热带地理, 2020, 40(5): 903-918.
[8]	刘颖, 袁媛, 邢汉发, 孟媛, 牛通. 街景图片识别城市贫困的适用性——基于广州市中心城区的验证[J]. 热带地理, 2020, 40(5): 919-929.
[9]	辛晓东, 保继刚, 刘义. 展馆迁址对城市星级酒店营收格局的空间重构——广交会实证[J]. 热带地理, 2020, 40(5): 930-941.
[10]	朱战强, 陶小芳, 周素红. 城市居民超重的居住分异[J]. 热带地理, 2020, 40(3): 487-497.
[11]	张晨, 肖大威, 黄翼. 广州市美丽乡村空间分异特征及其影响因素[J]. 热带地理, 2020, 40(3): 551-561.
[12]	宋洁, 周素红, 彭伊侬, 林荣平, 徐建斌. 基于移动监测的城市PM_2.5污染时空模式研究——以广州市中心区为例[J]. 热带地理, 2020, 40(2): 229-242.
[13]	林勋媛, 王广兴, 胡月明. 基于开放大数据的广州市中心城区职住平衡特征研究[J]. 热带地理, 2020, 40(2): 254-265.
[14]	张晨, 周霞, 李勇, 杨骥, 李林. 半封闭大棚实验下广州市植被滞尘光谱特征分析[J]. 热带地理, 2020, 40(2): 266-277.
[15]	赵鑫, 宋英强, 刘轶伦, 陈飞香, 胡月明. 基于卫星遥感和POI数据的人口空间化研究——以广州市为例[J]. 热带地理, 2020, 40(1): 101-109.