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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 溫在弘(Tzai-Hung Wen) | |
dc.contributor.author | Yu-Chun Lin | en |
dc.contributor.author | 林俞君 | zh_TW |
dc.date.accessioned | 2021-06-17T00:41:48Z | - |
dc.date.available | 2017-02-16 | |
dc.date.copyright | 2012-02-16 | |
dc.date.issued | 2012 | |
dc.date.submitted | 2012-01-16 | |
dc.identifier.citation | Baldwin, John and Anthony E. Bottoms (1976) The urban criminal: A study in Sheffield. London: Tavistock Publications.
Bennett, Trevor and Richard Wright (1984) Burglars on burglary: Prevention and the offender. Aldershot, UK: Gower. Bernasco, Wim and Paul Nieuwbeerta (2005) How do residential burglars select target areas? A new approach to the analysis of criminal location choice. British Journal of Criminology, 45(3): 296–315. Bernasco, Wim (2010) A sentimental journey to crime: Effects of residential history on crime location choice. Criminology, 48(2): 389-416. Bichler, Gisela, Jill Christie-Merrall and Dale Sechrest (2011) Examining juvenile delinquency within activity space: Building a context for offender travel patterns. Journal of Research in Crime and Delinquency, 48(3): 472-506. Block, Richard and Wim Bernasco (2009) Finding a serial burglar's home using distance decay and conditional origin-destination patterns: A test of empirical Bayes journey-to-crime estimation in the Hague. Journal of Investigative Psychology and Offender Profiling, 6(3): 187-211. Bowers, Kate J. and Shane D. Johnson (2005) Domestic burglary repeats and space-time clusters: The dimensions of risk. European Journal of Criminology, 2(1), 67-92. Brantingham, Patricia L. and Paul J. Brantingham (1984) Patterns in crime. New York: Macmillan. Buck, Andrew J., Simon Hakim and George F. Rengert (1993) Burglar alarms and the choice behavior of burglars: A suburban phenomenon. Journal of Criminal Justice, 21(5): 497-507. Cahill, Meagan and Gordon Mulligan (2007) Using geographically weighted regression to expolre local crime pattern. Social Science Computer Review, 25: 174-193. Canter, David and Donna Youngs (2008) Geographical offender profiling: Origins and principles. In Canter, David and Youngs, Donna (Eds.), Principles Of Geographical Offender Profiling, 6-12, Surrey: Ashgate. Canter, David and Paul Larkin (1993) The environmental range of serial rapists. Journal of Environmental Psychology, 13: 93-99. Canter, David (1994) Criminal shadows: Inside the mind of the serial killer. London: Harper Collins. Canter, David (1996) The environmental range of serial rapists. In: Psychology in Action. Dartmouth Benchmark Series. UK: Dartmouth Publishing Company, Hantshire, p217-230. Canter, David, Christopher Missen and Samantha Hodge (1997) Are serial killers special? Policing Today. Cliff, Andrew David and J. Keith Ord (1969) The problem of spatial autocorrelation. A. J. Scott (eds.), Studies in Regional Science, 1: 25-55. London: Pion Ltd. Cohen, Lawrence E. and Marcus Felson (1979) Social change and crime rate trends: A routine activity approach. American Sociological Review, 44: 588-608. Cornish, Derek and Ronald V. Clarke (1986) Introduction. Cornish, Derek and Ronald Clarke (eds.), The Reasoning Criminal, 1-16. NY: Springer-Verlag. Cromwell, Paul F., James N. Olson and D'Aunn Wester Avary (1991) Breaking and entering: An ethnographic analysis of burglary. Sage Publications. De Frances, Carol and Richard Titus (1993) The environment and residential burglary outcomes. In Proceedings of the International Seminar on Environmental Criminology and Crime Analysis. Coral Gables: Florida Criminal Justice Executive Institute. Ferri, Enrico (1905) Criminal sociology. Project Gutenberg. Godwin, Grover M. (2001) Geographical profiling, in Godwin, Grover M. (eds.) Criminal Psychology and Forensic Technology: A Collaborative Approach to Effective Profiling, CRC Press, p275-287. Goodwin, Louise (2008) Criminal psychology: Topics in applied psychology, Hodder Eduction UK, p73. Groff, Elizabeth R. and Nancy LaVigne (2001) Mapping an opportunity surface of residential burglary. Journal of Research in Crime and Delinquency, 38: 257-278. Hakim, Simon and George F. Rengert (1981) Crime spillover. Beverly Hills: Sage Publications. Harries, Keith and James LeBeau (2007) Issues in the geographic profiling of crime: review and commentary. Police Practice and Research, 8(4): 321-333. Hearnden, Ian and Christine Magill (2004) Decision-making by house burglars: offenders’ perspectives. Home Office Findings, 249. Kent, Joshua and Michael Leitner (2007) Efficacy of Standard Deviational Ellipses in the Application of Criminal Geographic Profiling. Journal of Investigative Psychology and Offender Profiling, 4(3): 147-165. Kocsis, Richard N., Andrew F. Hayes and Harvey J. Irwin (2002) Investigative experience and accuracy in psychological profiling of a violent crime. Journal of Interpersonal Violence, 17(8): 811-823. Laukkanen, Manne and Pekka Santtila (2006) Predicting the residential location of a serial commercial robber. Forensic Science International, 157(1): 71-82. Laukkanen, Manne, Pekka Santtila, Patrick Jern and Kenneth Sandnabba (2008) Predicting offender home location in urban burglary series. Forensic Science International, 176(2-3): 224-235. Le Comber, Steven C., Kim Rossmo, Ali N. Hassan, Douglas O. Fuller and John C. Beier (2011) Geographic profiling as a novel spatial tool for targeting infectious disease control. International Journal of Health Geographics, 10: 35. Leitner, Michael and Joshua Kent (2009) Bayesian journey-to-crime modelling of single and multiple crime-type series in Baltimore County, MD. Journal of Investigative Psychology and Offender Profiling, 6(3): 213-236. Levine, Ned and Patsy Lee (2009) Bayesian journey-to-crime modelling of juvenile and adult offenders by gender in Manchester. Journal of Investigative Psychology and Offender Profiling, 6(3): 237-251. Levine, Ned and Richard Block (2011) Bayesian journey-to-crime estimation: An improvement in geographic profiling methodology. Professional Geographer, 63(2): 213-229. Levine, Ned (2007) Crime travel demand and bank robberies - Using CrimeStat III to model bank robbery trips. Social Science Computer Review, 25(2): 239-258. Lombroso, Cesare (1911) Crime, its causes and remedies. London: W. Heinemann. Lopez, Manuel J.J. and Akkelies van Nes (2007) Space and crime in Dutch built environment: Macro and micro scale spatial conditions for residential burglaries and thefts from cars. Proceedings, 6th International Space Syntax Symposium, Istanbul. Lopez, Manuel J.J. (2005) The spatial behavior of residential burglars. RCM-advies, The Netherlands. Maguire, Mike and Trevor Bennett (1982) Burglary in a dwelling: The offense, the offender, and the victim. London, England: Heinemann. Malczewski, Jacek and Anneliese Poetz (2005) Residential burglaries and neighborhood socioeconomic context in London, Ontario: Global and local regression analysis. The Professional Geographer, 57(4): 516-529 Martin, David (2002) Spatial patterns in residential burglary: Assessing the effect of neighborhood social capital. Journal of Contemporary Criminal Justice, 18: 132-146. Martin, R. Aidan, Kim Rossmo and Neil Hammerschlag (2009) Hunting patterns and geographic profiling of white shark predation. Journal of Zoology, 279: 111–118. Mawby, Rob C. (2001) Promoting the police? The rise of police image work. Criminal Justice Matters, 43(1): 44-45. Morselli, Carlo and Marie-Noële Royer (2008) Criminal mobility and criminal achievement. Journal of Research in Crime and Delinquency, 45(1): 4-21. Newman, Oscar (1973) Architectural design for crime prevention. National Institute of Law Enforcement and Criminal Justice. Newman, Oscar (1973) Defensible space: Crime prevention through urban design. Macmillan Publications. Pain, Rachel, Robert MacFarlane, Keith Turner and Sally Gill (2006) When, where, if, and but: Qualifying GIS and the effect of streetlighting on crime and fear. Environment and Planning A, 38: 2055-2074. Park, Robert E., Ernest W. Burgess and R. D. McKenzie (1925) The city: Suggestions for investigation of human behavior in the urban environment. Chicago: University of Chicago Press, 1967. Pascoe, T. (1993) Domestic burglaries: the burglar's view. London: BRE Information Paper. Phillips, Phillip D. (1980) Characteristics and topology of the journey to crime. In D. E. Georges-Abeyie and K. D. Harries(eds.), Crime: A Spatial Perspective, p169-180. NY: Columbia University Press. Reilly, William J. (1931) The laws of retail gravitation. NY:Knickerbocker. Rengert, George F. and J. Wasilchick (1985) Suburban burglary: A time and place for everything. Springfield, IL: Charles C. Thomas Publisher Ltd. Rengert, George F. and J. Wasilchick (2000) Suburban burglary: A tale of two suburbs. Springfield, IL: Charles C. Thomas Publisher Ltd. Robinson, Jennifer B. (2008) Measuring the impact of a targeted law enforcement initiative on drug sales. Journal of criminal justice, 36(1): 90-101. Rossmo, Kim (1997) Geographic profiling. In J. L. Jackson and D. A. Bekerian(eds.), Offender Profiling: Theory, Research and Practice, p159-176. NY: John Wiley and Sons. Rossmo, Kim (2000) Geographic profiling. Boca Raton, FL: CRC Press. Sarangi, Sudhanshu and Donna Youngs (2006) Spatial patterns of Indian serial burglars with relevance to geographical profiling. Journal of Investigative Psychology and Offender Profiling, 3(2): 105-115. Shaw, Clifford R. and Henry D. McKay (1942) Juvenile delinquency in urban areas. Chicago: University of Chicago Press. Snook, Brent (2004) Individual differences in distance travelled by serial burglars. Journal of Investigative Psychology and Offender Profiling, 1(1): 53-66. Snook, Brent, David Canter and Craig Bennell (2002) Predicting the home location of serial offenders: A preliminary comparison of the accuracy of human judges with a geographic profiling system. Behavioural Sciences and The Law, 20: 109-118. Snook, Brent, Paul J. Taylor and Craig Bennell (2004) Geographic profiling: The fast, frugal and accurate way. Applied Cognitive Psychology, 18: 105-121. Townsley, Michael and Aiden Sidebottom (2010) All offenders are equal, but some are more equal than others: Variation in journey to crime between offenders. Criminology, 48(3): 897-917. Turner, S. (1969) Delinquency and distance. In Thorsten Sellin and Marvin E Wolfgang(eds.) Delinquency - selected Studies, p11-26. NY: John Wiley and Sons. Van Daele, Stijn and Tom Vander Beken (2011) Outbound offending: The journey to crime and crime sprees. Journal of Environmental Psychology, 31(1): 70-78. Van der Kemp, Jasper and Peter Van Koppen (2007) Finetuning geographical profiling. In Richard Kocsis(Eds.), Criminal profiling: international perspectives in theory, practice, and research, chapter 17: 347-364. Totowa: Humana. Van Koppen, Peter and J. W. De Keijser (1997) Desisting distance decay: On the aggregation of individual crime trips. Criminology, 35(2): 505-515. White, R. Clyde (1932) The relations of felonies to environmental factors in Indianapolis. Social Forces, 10(4): 498-509. Wiles, Paul and Andrew Costello (2000) The 'Road to Nowhere': The evidence for travelling criminals: Research, development and Statistics directorate. Home Office London, UK. CrimeStat Ⅲ軟體說明手冊。 內政部刑事警察局編製,民國100年「犯罪預防寶典」。 行政院主計處編製,民國99年7月「2009年社會指標統計年報」。 行政院主計處編製,民國100年10月「中華民國統計月報」第549期。 臺北市政府主計處編製,民國98年10月「統計應用分析報告:臺北市機車使用概況分析」。 2009年、2011年新北市警政治安白皮書。 2010年臺北市政府警察局工作報告。 王子熙(2005)都市住宅區空間組構型態與竊盜犯罪傾向之研究-以台灣某城市為例,逢甲大學建築學系碩士論文。 王文忠(2002)住宅竊盜被害與預防之研究,國立中正大學犯罪防治研究所碩士論文。 王德儼(1991)住宅犯罪預防之實證研究,中央警察大學警政研究所碩士論文。 江振維(2006)標的吸引與監控對住宅竊盜被害影響之實證研究,中央警察大學犯罪防治研究所碩士論文。 吳進宗(2003)市民導向的政策形成過程模式之研究─以台北市竊盜防治政策為例,國立台北大學公共行政暨政策學系碩士論文。 李佳龍(2008)連續住宅竊盜犯罪之地緣剖繪研究--以高雄市為例,中央警察大學刑事警察研究所碩士論文。 李珀宗(2005)社區犯罪基圖在警察機關防制住宅竊盜犯罪之應用--以台北市松山區為例,中央警察大學犯罪防治研究所碩士論文。 林順家(2005)環境設計理論在竊盜犯罪預防之應用-以台北市基隆河二期國宅為例,銘傳大學公共事務學系碩士在職專班論文。 林滄崧(2007)台灣地區住宅竊盜犯罪被害危險因素模型之研究,中央警察大學犯罪防治研究所博士論文。 林燦璋、廖有祿、郭若萱(2004)陌生人間性侵害案件偵查的行為跡證剖析,中央警察大學學報,41:379-402。 林燦璋、廖有祿、陳瑞基、陳蕾伊(2006)犯罪地緣剖繪-連續性侵害犯的空間行為模式分析,警政論叢,6:163-190。 邱靖方(2008)台灣地區家戶特性與區域特性對於住宅竊盜被害風險之影響,國立台北大學犯罪學研究所碩士論文。 邱豐光(2008)常業住宅竊盜犯罪歷程之研究,國立台北大學犯罪學研究所碩士論文。 侯友宜、廖有祿、李文章(2010)犯罪偵查理論之初探,警學叢刊,40(5):1-25。 莊忠進(2005)台灣地區「闖空門」竊盜犯目標選擇之研究,中央警察大學犯罪防治研究所博士論文。 郭晉勳(2002)創造安全的城市-經由環境設計預防犯罪,國立台北大學都市計畫研究所碩士論文。 陳志豪(2005)竊盜犯罪被害特性及其影響因素之研究,中央警察警察大學犯罪防治研究所碩士論文。 陳惠貞(2008)高雄市住宅竊盜犯罪地圖繪製與時空分析,國立高雄師範大學地理研究所碩士論文。 陳瑞基(2011)連續住宅竊盜犯作案手法與空間行為模式剖析,中央警察大學犯罪防治研究所博士論文。 辜泰益(2008)鄉鎮型犯罪熱區及其環境特徵,國立台北大學犯罪學研究所碩士論文。 黃乃弘(2002)空間型構與住宅竊盜之關聯性研究—以台灣某都市為例,逢甲大學建築所碩士論文。 黃富源、張平吾、范國勇(2006)犯罪學概論。台北:中央警察大學出版社。 楊士隆(2001)犯罪心理學,台北市:五南。 楊武德(2006)住宅竊盜被害特性、影響及反應之研究,中央警察大學犯罪防治研究所碩士論文。 溫在弘、劉擇昌、林民浩(2010)犯罪地圖繪製與熱區分析方法及其應用:以1998-2007年台北市住宅竊盜犯罪為例,地理研究,52:43-63。 趙尚臻(2005)強制性交犯罪偵查--傳統與新興的偵查技術,警學叢刊,36(1):261-280。 劉擇昌(2007)犯罪地理學發展與地理資訊系統於犯罪防治工作應用之探究,警學叢刊,37(6)。 劉擇昌、吳柏蒝(2008)犯罪製圖(Crime Mapping)與空間分析(Spatial Analysis)軟體運用於犯罪預防工作之探究-以GeoDa0.9.5-i (beta)為例,警學叢刊,39(1):161-196。 蔡中志(1988)在宅被竊特性與防治之研究。台北,五南圖書公司。 蔡中志(1991)居家安全之研究:依據台灣地區住宅被害者與受刑人之實證調查,中央警官學校警政研究所碩士論文。 蔡德輝、張平吾、蔡田木(2005)住宅竊盜重複被害特性與防制策略之研究,內政部警政署刑事警察局。 鄭昆山(2004)台灣地區住宅竊盜與防制措施之研究,中正大學犯罪研究中心,頁38。 鄭昆山、楊士隆、何明洲、曾郁倫、周子敬(2004)台灣地區住宅竊盜與防制措施之研究,中正大學犯罪研究中心。 賴致瑜(2006)台北市住宅竊盜犯罪地圖製作與犯罪區位分析,國立臺灣大學地理環境資源硏究所碩士論文。 蘇智鋒、黃乃弘、王子熙(2008)住宅區公共空間配置型態與住宅侵入竊盜犯罪機率分析-英國及台灣之案例研究,建築學報,66:35-60。 2010年台灣數位新聞網網站:http://www.enewstw.com/ 2011年新北市政府警察局網站: http://www.police.ntpc.gov.tw/web/Home?command=displayandpage=flash 英國CSL漫畫網站:http://www.cartoonstock.com/ 圖7房屋圖片取自:http://sl.utu123.com/tuku/20110621/2290.html 臺北市政府警察局網站:http://www.tcpd.gov.tw/cht/index.php | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66544 | - |
dc.description.abstract | 目標:「犯罪錨點」係指在連續犯罪事件中,犯罪者經常出現的地點,例如:居住地或工作地點等。由於台灣住宅竊盜案件呈現高發生率、低破獲率的趨勢,如何盡速預測與掌握連續住宅竊賊犯罪的空間行為與錨點,成為破案與預防竊案再次發生的關鍵。目前國內外文獻尚無完整且具體針對連續住宅竊盜錨點估計及空間型態的實證研究。因此,本研究目的在於分析連續住宅竊盜的犯罪錨點空間型態,找出罪犯錨點的可能分布區域,以縮小警方的罪犯搜尋範圍。
方法:地理剖繪(Geographical profiling)係以環境犯罪學為理論基礎,運用連續犯罪者的犯罪時間及空間型態等地緣因素,推估犯罪案件地點與罪犯錨點關連性的分析方法。本研究利用臺北地區在2006-2009年間,28個連續住宅竊盜犯罪者共326筆犯案地點和其居住地點的資料,應用地理剖繪的兩種分析方法:「犯罪旅程分析模式(Journey-to-crime analysis, 簡稱JTC)」和貝氏犯罪旅程分析模式(Bayesian journey-to-crime analysis, 簡稱BJTC),建立連續竊盜住宅犯罪的居住地點與犯案地點間的距離遞減關係,進而建立犯罪錨點的預測機率地圖。 結果:研究結果顯示以下五點:(1) 犯罪熱點的位置集中在台北市內湖區、南港區和文山區;新北市板橋區、中永和區、土城區和三重區,住竊犯平均犯案旅運距離為3.70公里。(2) 連續住竊犯的犯案空間行為確實有距離遞減現象,第一型離錨點0.5公里以上、第二型則離3公里以上始呈現距離遞減的趨勢。(3) BJTC考量各網格區域間的通勤關係和已破案起終點矩陣(Origin-Destination matrix),錨點推估機率地圖的空間分布型態呈現「非同心圓狀」。(4) 相較於BJTC,JTC的錨點準確度較高,JTC的錨點預測與實際值的誤差率小於1%,表示JTC確實能找出較正確的罪犯錨點。(5) 加入「警察局效果」等犯罪相關的建物環境參數,對於BJTC的推估效度具有顯著改善的效果。 結論:本研究應用地理剖繪方法,建立臺北地區連續住竊犯罪的錨點預測機率地圖,並區分不同距離遞減型態歸納連續犯的空間移動型態。本研究成果有助於提高警政單位犯罪偵察實務的效率,能主動出擊打擊犯罪,並進一步提供制訂治安政策的參考,以期達到降低住竊案的發生率。 | zh_TW |
dc.description.abstract | Purpose: Anchor points of criminals are the zones where an offender travels routinely, such as work, school, home or recreational areas. The incidence rate of residential burglary is very high but detection rate is relatively low in Taiwan. In order to increase detection rate, it is important to understand spatial behaviors and anchor points of residential burglars. However, the relationships between crime locations of serial residential burglars and anchor points remain unclear. Therefore, the objective of the study is to identify spatial patterns and predict anchor points of serial residential burglars for targeting smaller zones of further criminal investigation.
Methods: Geographical profiling is a criminal investigation methodology which is based on the theories of environmental criminology. Geographical characteristics and inter-relationships of serial criminal events are analyzed to determine the possible areas of offender residence. A total of 326 residential burglaries committed by 28 serial offenders were analyzed in this study. Journey-to-crime analysis (JTC) and Bayesian journey-to-crime analysis (BJTC) were used to determine the distance patterns between crime locations and residential areas of serial residential burglars and establish the probability maps for predicting criminal anchor points. Results: The significant findings indicated that (1) the hotspots of residential burglaries committed by serial offenders were identified and the average length of journey-to-crime trips was 3.7 kilometers; (2) these crime trips showed significant distance-decay relationships and could be divided into two types. Distance decay of Type I occurred at more than 0.5 kilometers while Type II occurred at more than three kilometers; (3) BJTC used Origin-Destination matrix to incorporate the commuting patterns of an offender, therefore, the probability maps of anchor point prediction did not show concentric circles; (4) JTC made more highly accurate prediction of anchor points than BJTC. The prediction error rate of JTC was less then 1 %; (5) the accuracy of BJTC could be improved significantly when the model was adjusted by crime-related built environmental factors, such as the locations of police stations. Conclusion: The study demonstrated that geographical profiling could be beneficial to predict the locations of anchor points of serial residential burglars in Taipei and differentiate distance-decay patterns of these crime trips. This study provides information valuable for the targeted delivery of crime investigation and prevention programs against residential burglaries. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T00:41:48Z (GMT). No. of bitstreams: 1 ntu-101-R97228007-1.pdf: 7730349 bytes, checksum: f93da19a021817c09fe25b5077e92a08 (MD5) Previous issue date: 2012 | en |
dc.description.tableofcontents | 口試委員會審定書 i
謝辭 ii 中文摘要 iii 英文摘要 iv 目錄 vi 圖目錄 viii 表目錄 ix 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 6 第二章 文獻探討 8 第一節 犯罪地理學理論 8 第二節 地理剖繪(Geographic profiling, GP) 17 第三節 建物環境空間變數 32 第三章 研究資料與方法 36 第一節 研究資料 36 第二節 研究流程與架構 37 第三節 分析方法 40 第四章 研究結果與討論 50 第一節 研究結果 50 第二節 討論 88 第五章 結論與未來研究建議 96 第一節 結論 96 第二節 未來研究建議 100 參考文獻 102 附錄 110 | |
dc.language.iso | zh-TW | |
dc.title | 應用地理剖繪分析臺北地區連續住宅竊盜的距離遞減型態與錨點的空間預測 | zh_TW |
dc.title | Geographical Profiling Applied to Identification of Different Distance-decay Patterns and Spatial Prediction of Anchor Points for Serial Residential Burglars in Taipei | en |
dc.type | Thesis | |
dc.date.schoolyear | 100-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 林燦璋,黃崇源 | |
dc.subject.keyword | 地理剖繪,罪犯錨點,犯罪旅程分析,住宅竊盜,距離遞減型態, | zh_TW |
dc.subject.keyword | geographical profiling,anchor points of criminals,Journey-to-crime analysis,serial residential burglary,distance-decay relationship, | en |
dc.relation.page | 143 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2012-01-17 | |
dc.contributor.author-college | 理學院 | zh_TW |
dc.contributor.author-dept | 地理環境資源學研究所 | zh_TW |
顯示於系所單位: | 地理環境資源學系 |
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