地理科学进展 ›› 2017, Vol. 36 ›› Issue (7): 886-902.doi: 10.18306/dlkxjz.2017.07.010
龙冬平1(), 柳林1,2,*(
), 周素红1, 杜方叶1, 宋广文1, 肖露子1
出版日期:
2017-07-31
发布日期:
2017-07-31
通讯作者:
柳林
作者简介:
作者简介:龙冬平(1985- ),男,湖南邵阳人,博士生,研究方向为犯罪地理与公共安全,E-mail:
基金资助:
Dongping LONG1(), Lin LIU1,2,*(
), Suhong ZHOU1, Fangye DU1, Guangwen SONG1, Luzi XIAO1
Online:
2017-07-31
Published:
2017-07-31
Contact:
Lin LIU
Supported by:
摘要:
犯罪地理学以社会问题为导向,关注犯罪现象的格局、过程与机理,沿着“揭示问题、服务安全、解决问题”的思路,去破解复杂的社会难题,并在公共安全和犯罪防控领域贡献力量。本文基于地理学视角,从犯罪出行、犯罪空间决策、重复犯罪三大研究主题出发,综述了国内外犯罪者行为的研究进展。结果表明,国外研究取得了较多成果,如:①犯罪出行方面发现了就近掠夺和外出犯罪的空间模式;不同犯罪类型的出行距离存在显著差异;以及犯罪出行距离受犯罪者个体特征、地理特征、犯罪收益和情感因素的影响。②犯罪空间决策受经济因素、社会因素以及犯罪者空间意识的影响。③重复犯罪存在时空聚集性和时空临近性。国内研究主要集中在国外理论与经验引介,犯罪时空分布、形成机理与空间防控,以及犯罪模拟与预测方面,而地理学视角下犯罪者行为研究尚处于初始阶段,有许多空白亟需填补。总体而言,在犯罪者研究领域,仍存在以下3点不足:①在犯罪出行方面,综合的视角不多;②在犯罪空间决策方面,尚未涉及犯罪空间决策的时间差异及形成机制;③在重复犯罪方面,尚未考虑过去的犯罪活动和经验。最后,论文从视角、内容、方法及应用上提出未来的研究重点:注重综合性视角的实证分析;开展针对犯罪团伙的研究;合理利用大数据分析犯罪者行为的规律、过程和机理,避免导致推理错误;注重理论研究成果的转化,满足国家社会治安的重大需求,并提升犯罪地理学的学科价值。
龙冬平, 柳林, 周素红, 杜方叶, 宋广文, 肖露子. 地理学视角下犯罪者行为研究进展[J]. 地理科学进展, 2017, 36(7): 886-902.
Dongping LONG, Lin LIU, Suhong ZHOU, Fangye DU, Guangwen SONG, Luzi XIAO. Research progress of criminal behavior from the perspective of geography[J]. PROGRESS IN GEOGRAPHY, 2017, 36(7): 886-902.
表1
犯罪出行的研究结果概要"
犯罪类型 | 出行距离/km | 距离测算 | 研究区域 | 文献来源 |
---|---|---|---|---|
所有类型 | 8.53 | SD(中位值) | 美国达拉斯 | Ackerman et al, 2015 |
2.61 | SD(平均值) | 英国伦敦哈罗镇 | Chainey et al, 2001 | |
3.11 | ED(平均值) | 英国谢菲尔德 | Wiles et al, 2000 | |
入室盗窃 (居住区) | 2.57 | ED(中位值) | 比利时弗兰德斯 | Vandeviver et al, 2015 |
4.02 | SD(中位值) | 美国达拉斯 | Ackerman et al, 2015 | |
0.56 | ED(平均值) | 加拿大渥太华 | Gabor et al, 1984 | |
入室盗窃 (非居住区) | 7.08 | SD(中位值) | 美国达拉斯 | Ackerman et al, 2015 |
2.20 | SD(平均值) | 英国北安普敦郡 | Smith et al, 2009 | |
2.95 | ED(平均值) | 英国谢菲尔德 | Wiles et al, 2000 | |
2.98 | SD(平均值) | 英国伦敦哈罗镇 | Chainey et al, 2001 | |
抢劫 (商店) | 0.69 | ED(中位值) | 加拿大圣约翰 | Snook et al, 2006 |
19.15 | ED(平均值) | 荷兰 | Van Koppen et al, 1998 | |
3.38 | SD(平均值) | 美国华盛顿特区 | Rhodes et al, 1981 | |
抢劫 (非商店) | 3.12 | SD(平均值) | 英国伦敦哈罗镇 | Chainey et al, 2001 |
2.61 | SD(平均值) | 美国华盛顿特区 | Rhodes et al, 1981 | |
机动车盗窃 | 9.33 | SD(中位值) | 美国达拉斯 | Ackerman et al, 2015 |
3.80 | ED(平均值) | 英国谢菲尔德 | Wiles et al, 2000 | |
2.00 | ED(平均值) | 加拿大渥太华 | Gabor et al, 1984 | |
谋杀 | 6.12 | SD(中位值) | 美国达拉斯 | Ackerman et al, 2015 |
3.22 | SD(中位值) | 美国华盛顿特区 | Groff et al, 2012 | |
2.90 | SD(平均值) | 美国纽瓦克 | Pizarro et al, 2007 | |
强奸 | 6.28 | SD(中位值) | 美国达拉斯 | Ackerman et al, 2015 |
1.85 | SD(平均值) | 美国华盛顿特区 | Rhodes et al, 1981 | |
暴力袭击 | 2.40 | ED(平均值) | 英国谢菲尔德 | Wiles et al, 2000 |
1.13 | ED(平均值) | 美国列克星敦 | Phillips, 1980 | |
扒窃 | 4.04 | ED(平均值) | 英国谢菲尔德 | Wiles et al, 2000 |
3.51 | SD(平均值) | 英国伦敦哈罗镇 | Chainey et al, 2001 | |
9.66 | SD(中位值) | 美国达拉斯 | Ackerman et al, 2015 |
表2
犯罪出行的影响因素概要"
影响因素 | 犯罪类型 | 研究结果 | 研究区域 | 文献来源 |
---|---|---|---|---|
年龄差异 | 所有类型 | 出行距离:青少年犯罪者<成年犯罪者 | 加拿大渥太华 | Gabor et al, 1984 |
所有类型 | 出行距离:与年龄存在倒“U”关系 | 加拿大哥伦比亚省 | Andresen et al, 2014 | |
所有类型 | 出行距离:与年龄存在非线性关系 | 美国达拉斯 | Ackerman et al, 2015 | |
性别差异 | 财产/暴力犯罪 | 出行距离:女性犯罪者>男性犯罪者 | 英国伦敦哈罗镇 | Chainey et al, 2001 |
谋杀 | 出行距离:男性犯罪者>女性犯罪者 | 美国华盛顿特区 | Groff et al, 2012 | |
种族差异 | 街头抢劫 | 出行距离:与种族存在一致性关系 | 美国芝加哥 | Bernasco et al, 2009 |
地理特征 | 入室盗窃 | 出行距离:受社区地理构型/区位特征影响 | 美国华盛顿特区 | Rhodes et al, 1981 |
青少年犯罪 | 出行距离:受社区土地利用/道路网络影响 | 美国加利福尼亚州 | Bichler et al, 2010 | |
犯罪收益 | 不分类型 | 出行距离:与犯罪收益成正向关系 | 加拿大魁北克 | Morselli et al, 2008 |
财产犯罪 | 出行距离:与犯罪收益成正向关系 | 比利时布鲁塞尔 | Van Daele et al, 2011 | |
情感因素 | 抢劫/袭击等 | 出行距离:受犯罪者历史居住地的影响 | 荷兰海牙地区 | Bernasco, 2010 |
入室盗窃 | 出行距离:受犯罪者“前案件点”的影响 | 英国西米德兰兹郡 | Bernasco et al, 2015 | |
不分类型 | 出行距离:受朋友或家人居住地的影响 | 荷兰海牙地区 | Menting et al, 2016 |
表3
犯罪空间决策的影响因素概要"
影响因素 | 犯罪类型 | 研究结果 | 研究区域 | 文献来源 |
---|---|---|---|---|
收益因子 | 入室盗窃 | 空间决策:受被盗物品的价值影响 | 英国桑德韦尔 | Wellsmith et al, 2005 |
街头抢劫 | 空间决策:受合法/非法现金交易场所的影响 | 美国芝加哥 | Bernasco et al, 2013 | |
成本因子 | 入室盗窃 | 空间决策:受犯罪出行的距离成本影响 | 英国谢菲尔德 | Wiles et al, 2000 |
街头抢劫 | 空间决策:受犯罪出行的距离成本影响 | 英国曼彻斯特 | Deakin et al, 2007 | |
风险因子 | 不分类型 | 空间决策:种族一致的社区,被抓风险小 | 荷兰海牙地区 | Reynald et al, 2008 |
街头抢劫 | 空间决策:种族一致的社区,被抓风险小 | 美国芝加哥 | Bernasco et al, 2013 | |
社会因素 | 入室盗窃 | 空间决策:受富裕程度/社会凝聚力的影响 | 澳大利亚布里斯班 | Townsley et al, 2016 |
不分类型 | 空间决策:受正式/非正式社会控制的影响 | 美国西雅图 | Weisburd et al, 2014 | |
不分类型 | 空间决策:受亲属关系的影响 | 荷兰海牙地区 | Menting et al, 2016 | |
空间意识 | 车内盗窃 | 空间决策:受是否接近他们居住地的影响 | 英国多塞特郡 | Johnson et al, 2015 |
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