PROGRESS IN GEOGRAPHY ›› 2015, Vol. 34 ›› Issue (10): 1250-1258.doi: 10.18306/dlkxjz.2015.10.005
• Urban and Regional Study • Previous Articles Next Articles
Peng CHEN(), Xin LI, Xiaofeng HU, Zhaolong ZENG, Pengkai ZHAO
Received:
2014-12-01
Accepted:
2015-05-01
Online:
2015-10-20
Published:
2015-10-20
Peng CHEN, Xin LI, Xiaofeng HU, Zhaolong ZENG, Pengkai ZHAO. Clustering pattern analysis and prevention strategies to pickpocketing offence along the Chang'an Street in Beijing[J].PROGRESS IN GEOGRAPHY, 2015, 34(10): 1250-1258.
Tab.1
Spatiotemporal patterns of crimes in identified offence clustering areas"
案件高发区域 | 区域位置及特征 | 时空模式 | 犯罪时空态势描述 |
---|---|---|---|
A | 西单商业街,有多个大型购物商场 | b-C | 该地段人流量密集,交通便利,发案主要集中于沿街大型购物场所内,作案时间与商场营业时间基本一致,案件高发时间为中午12时。 |
B | 建国门路段,毗邻北京火车站 | b-B | 该路段毗邻北京火车站,客流量较大,且公共交通发达,案件主要集中在北京站北街及大羊毛胡同的附近,案件高发时间为上午6时与下午18时前后,与交通客流早晚高峰时间基本一致。 |
C | 大望路、四惠公交枢纽,多个公交、地铁站点在此换乘 | b-B | 该地段为长安街东段重要的公交-地铁换乘站,人流量较大,发案集中在地铁大望路站附近与地铁四惠站附近,案件高发时间为上午6时至8时和下午18时前后,与交通早晚高峰时段基本一致。 |
1 | 陈鹏, 李锦涛, 马伟. 2012. 犯罪热点的分析方法研究[J]. 中国人民公安大学学报: 自然科学版, (3): 53-57. |
[Chen P, Li J T, Ma W.2012. Fanzui redian de fenxi fangfa yanjiu[J]. Journal of Chinese People's Public Security University: Science and Technology, (3): 53-57.] | |
2 | 程薇, 吴健平. 2013. 国外犯罪时空分布研究综述[J]. 世界地理研究, 22(2): 151-158. |
[Cheng W, Wu J P.2013. A research review on spatio-temporal distribution of crime[J]. World Regional Studies, 22(2): 151-158.] | |
3 | 姜超, 柳林. 2013. 中国犯罪地理与警务GIS研究进展[J]. 地球信息科学学报, 15(6): 801-808, 853. |
[Jiang C, Liu L.2013. Research progress of crime geography studies in China[J]. Journal of Geo-information Science, 15(6): 801-808, 853.] | |
4 | 姜超, 唐焕丽, 柳林. 2014. 中国犯罪地理研究述评[J]. 地理科学进展, 33(4): 561-573. |
[Jiang C, Tang H L, Liu L.2014. Review of crime geography in China[J]. Progress in Geography, 33(4): 561-573.] | |
5 | 李春雷, 姚巍. 2011. 城市化进程中我国城市住区犯罪防控空间探索: 基于CPTED理论视角下对我国城市住区的个案考察[J]. 中国人民公安大学学报: 社会科学版, (4): 93-105. |
[Li C L, Yao W.2011. Chengshihua jincheng zhong woguo chengshi zhuqu fanzui fangkong kongjian tansuo: jiyu CPTED lilun shijiao xia dui woguo chengshi zhuqu de gean kaocha[J]. Journal of Chinese People's Public Security University: Social Sciences Edition, (4): 93-105.] | |
6 | 李业锦, 朱红. 2013. 北京社会治安公共安全空间结构及其影响机制: 以城市110警情为例[J]. 地理研究, 32(5): 870-880. |
[Li Y J, Zhu H.2013. Spatial distribution and influencing mechanism of social and public security: an urban security spatial analysis based on from city crime alarm data[J]. Geographical Research, 32(5): 870-880.] | |
7 | 刘大千, 修春亮, 于嘉. 2012. 长春市财产犯罪的空间分析[J]. 地理科学, 32(4): 477-484. |
[Liu D Q, Xiu C L, Yu J.2012. Spatial analysis of property crimes in Changchun[J]. Scientia Geographica Sinica, 32(4): 477-484.] | |
8 | 陆娟, 汤国安, 张宏, 等. 2012. 犯罪热点时空分布研究方法综述[J]. 地理科学进展, 31(4): 419-425. |
[Lu J, Tang G A, Zhang H, et al.2012. A review of research methods for spatiotemporal distribution of the crime hot spots[J]. Progress in Geography, 31(4): 419-425.] | |
9 | 毛媛媛, 戴慎志. 2006. 犯罪空间分布与环境特征: 以上海市为例[J]. 城市规划学刊, (3): 85-93. |
[Mao Y Y, Dai S Z.2006. Research on spatial and environmental characters of crimes: case study of Shanghai[J]. Urban Planning Forum, (3): 85-93.] | |
10 | 毛媛媛, 丁家骏. 2014. 抢劫与抢夺犯罪行为时空分布特征研究: 以上海市浦东新区为例[J]. 人文地理, 29(1): 49-54. |
[Mao Y Y, Ding J J.2014. Study on spatial-temporal patterns of robbery and snatch: a case study of Pudong new area, Shanghai[J]. Human Geography, 29(1): 49-54.] | |
11 | 单勇, 阮重骏. 2013. 城市街面犯罪的聚集分布与空间防控: 基于地理信息系统的犯罪制图分析[J]. 法制与社会发展, (6): 88-100. |
[Shan Y, Ruan C J.2013. Chengshi jiemian fanzui de juji fenbu yu kongjian fangkong: jiyu dili xinxi xitong de fanzui zhitu fenxi[J]. Law and Social Development, (6): 88-100.] | |
12 | 王发曾. 2003. 城市犯罪中的公共空间盲区及其综合治理[J]. 人文地理, 18(3): 8-12. |
[Wang F Z.2003. The public spatial blind area in urban crime and its comprehensive treatment[J]. Human Geography, 18(3): 8-12.] | |
13 | 王发曾. 2006. 城市建筑空间设计的犯罪防控效应[J]. 地理研究, 25(4): 681-691. |
[Wang F Z.2006. The effect of anticrime in urban building-space designing[J]. Geographical Research, 25(4): 681-691.] | |
14 | 王发曾. 2007. 城市犯罪的移动空间盲区及其综合治理[J]. 河北法学, 25(11): 18-21. |
[Wang F Z.2007. The moving spatial blind area in urban crime and its comprehensive treatment[J]. Hebei Law Science, 25(11): 18-21.] | |
15 | 王发曾. 2010. 城市犯罪空间盲区的综合治理研究[J]. 地理研究, 20(1): 57-67. |
[Wang F Z.2010. Study on the comprehensive treatment of spatial blind areas in urban crime[J]. Geographical Research, 20(1): 57-67.] | |
16 | 徐冲, 柳林, 周素红, 等. 2013. DP半岛街头抢劫犯罪案件热点时空模式[J]. 地理学报, 68(12): 1714-1723. |
[Xu C, Liu L, Zhou S H, et al.2013. The spatio-temporal patterns of street robbery in DP peninsula[J]. Scientia Geographica Sinica, 68(12): 1714-1723.] | |
17 | 张雅卓, 于宏伟. 2014. 基于CPTED理论的城市规划及景观设计策略研究[J]. 中外建筑, (1): 100-101. |
[Zhang Y Z, Yu H W.2014. Research of city planning and landscape design strategy based on CPTED theory[J]. Chinese & Overseas Architecture, (1): 100-101.] | |
18 | 钟海东, 吴健平, 余柏蒗, 等. 2013. 基于GIS的上海市犯罪空间特征研究[J]. 华东师范大学学报: 自然科学版,(2): 30-37, 55. |
[Zhong H D, Wu J P, Yu B L, et al.2013. Study on the spatial pattern of Shanghai crime based upon GIS[J]. Journal of East China Normal University: Natural Sciences,(2): 30-37, 55.] | |
19 | Brantingham P J, Brantingham P L.1995. Criminality of place: crime generators and crime attractors[J]. European Journal on Criminal Policy and Research, 3(3): 5-26. |
20 | Brantingham P L, Brantingham P J.1982. Mobility, notoriety, and crime: a study of crime patterns in urban nodal points[J]. Journal of Environmental Systems, 11(1): 89-99. |
21 | Brantingham P L, Brantingham P J.1993a. Environment, routine, and situation: toward a pattern theory of crime[J]. Advances in Criminological Theory, 5: 259-294. |
22 | Brantingham P L, Brantingham P J.1993b. Nodes, paths and edges: considerations on the complexity of crime and the physical environment[J]. Journal of Environmental Psychology, 13(1): 3-28. |
23 | Chen P, Yuan H Y, Li D S.2013. Space-time analysis of burglary in Beijing[J]. Security Journal, 26(1): 1-15. |
24 | Cohen L E, Felson M.1979. Social change and crime rate trends: a routine activity approach[J]. American Sociological Review, 44(4): 588-608. |
25 | Davies T P, Bishop S R.2013. Modelling patterns of burglary on street networks[J]. Crime Science, 2: 10. |
26 | Johnson S D, Bowers K J.2010. Permeability and burglary risk: are cul-de-sacs safer[J]. Journal of Quantitative Criminology, 26(1): 89-111. |
27 | Porta S, Crucitti P, Latora V.2006a. The network analysis of urban streets: a dual approach[J]. Physica A: Statistical Mechanics and its Applications, 369(2): 853-866. |
28 | Porta S, Crucitti P, Latora V.2006b. The network analysis of urban streets: a primal approach[J]. Environment and Planning B: Planning and Design, 33(5): 705-725. |
29 | Ratcliffe J H.2004. The hotspot matrix: a framework for the spatio-temporal targeting of crime reduction[J]. Police Practice and Research: an International Journal, 5(1): 5-23. |
|