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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張康聰(Kang-Tsung Chang) | |
| dc.contributor.author | Chih-Yu Lai | en |
| dc.contributor.author | 賴致瑜 | zh_TW |
| dc.date.accessioned | 2021-06-08T06:30:50Z | - |
| dc.date.copyright | 2006-07-28 | |
| dc.date.issued | 2006 | |
| dc.date.submitted | 2006-07-24 | |
| dc.identifier.citation | 參考文獻
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Stewart, Brunsdon, Chris and Charlton, Martin (2002) Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Chichester: Wiley Getis, A., Drummy, P., Gartin, J., Gorr, W., Harries, K., Rogerson, P., Stoe, D. and Wright, R. (2000) Geographic Information Science and Crime Analysis, Urban and Regional Information System Association Journal, 12 (2): 7-14 Getis, A. and Ord, J. K. (1992) The Analysis of Spatial Association by Use of Distance Statistics, Geographical Analysis, 24(3): 189-206 Haining, R. (2003) Spatial Data Analysis Theory and Practice, Cambridge: Cambridge University Press Harries, K. (1974) The Geography of Crime and Justice, New York: McGraw-Hill Book Company. Harries, K. (1999) Mapping Crime: Principle and Practice, Washington DC: National Institute of Justice. Herbert, D.T. (1982) The Geography of Urban Crime, London and New York: Longman Hirschfield, A. and Bowers, K.J. (1997) The Development of a Social, Demographic and Land Use Profiler For Area of High Crime, British Journal of Criminology, 37 (1):103-120 Jill Dando Institute of Crime Science, What is crime mapping? http://www.jdi.ucl.ac.uk/crime_mapping/index.php [1 June 2006] Kenwitz, J.W. (1987) Cartography in France: 1660~1848, Chicago: University of Chicago Press Levine, N. and Associates (2004) CrimeStatⅢ Manual, Washington DC: National Institute of Justice. Miethe, T.D. and Meier, R.F. (1990) Opportunity, Choice, and Criminal Victimization: A Test of a Theoretical Model. Journal of Research in Crime and Delinquency 27: 243-266 Mladenka, K.R. and Hill K.Q. (1976). A Re-examination of the Etiology of Urban Crime. Criminology 13: 491–506. Malczewski, J. and Poetz, A. (2005). Residential Burglaries and Neighborhood Socioeconomic Context in London, Ontario: Global and Local Regression Analysis. The Professional Geographer 57(4): 516–529. Newman, O. (1972) Defensible Space: People and Design in the Violent City. New York: The Architectural Press. Openshaw, S., Charlton, M., Wymer, C. and Craft, A.W. (1987) A mark 1 geographical analysis machine for the automated analysis of point data set, International Journal of Geographical Information Science, 1 : 335-358. Osborn, D.R., Trickett, A. and Elder, R. (1992) Area Characteristics and Regional Variables as Determinates of Area Property Crime Levels, Journal of Quantitative Criminology, 8 (2):265-285 Ratcliffe, J.H. (2004) Geocoding crime and a first estimate of a minimum acceptable hit rate, International Journal of Geographical Information Science, 18 (1): 61-72. Roncek, D. W. and Francik, J. (1981) Housing Projects and Crime, Social Problems, 29: 151-166. Roncek, D. W., and Maier, P.A. (1991) Bars, blocks, and crimes revisited: Linking the theory of routine activities to the empiricism of hot spots, Criminology, 29:725-755. Rountree, P. W. and Land, K.C. 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(2000) Furthering The intergration of Activity and Social Disorganization Theories: Small Units of Analysis and The Study of Street Robbery as a Diffusion Process, Criminology 38(2): 489-523. White, G. (1990) Neighborhood Permeability and Burglary Rates, Justice Quarterly, 7, 57-67 Williamson, D., McLafferty, S., Goldsmith, V., Mallenkopf, J. and McGuire, P. (1999) A Better Method to Smooth Crime Incident Data. ESRI ArcUser Magazine, January–March 1999: 1–5 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25802 | - |
| dc.description.abstract | 住宅竊盜與犯罪發生地點息息相關，竊賊必須至某住宅行竊，犯罪行為具有空間相依性。本研究以台北市為研究地區，製作住宅竊盜犯罪地圖，辨識犯罪熱點，探討住宅竊盜的區位特性。由核密度推估圖與Getis-Ord G值犯罪地圖顯示，住宅竊盜犯罪熱點有從市中心向外擴展的趨勢。犯罪區位分析發現高教育程度人口比率、20∼60歲人口比率、相對地價殘差、建地密度、人口密度等預測因子與住宅竊盜率有統計上的顯著相關，其R2為0.316。由於高教育程度人口和相對地價殘差高可提升目標吸引性，建地密度和人口密度高會增加犯罪機會，台北市的住宅竊盜區位較著重於目標吸引性高和犯罪機會多。地理加權迴歸能反應空間變異情形，R2值自0.316提升至0.568，殘差總和從28.1下降至17.8。 | zh_TW |
| dc.description.abstract | Burglary is the most frequent crime in Taiwan nowadays and is closely related to geographical locations. This study is aimed to identify the hotspots of residential burglary in Taipei in 2000 and 2004 and to determine the locational characteristics of these hotspots. The locations of residential burglaries in Taipei were converted into a point map by matching the addresses reported to the police. The residential burglaries were not randomly distributed in Taipei, but concentrated in certain areas. Both burglary hotspots of Taipei City obtained by using kernel density and Getis-Ord G are concentrated around the city center and spread to the city outskirt. To understand the locational characteristics of high-intensity residential burglary areas, this study presented two kinds of regression models. Stepwise multivariate regression analysis showed that population with college or higher degrees, relative housing price, population of age 20-60, density of built-up area, and population density were significantly correlated with intensity of residential burglaries (R2 = 0.316). The results support the routine activity theory, which suggests burglaries occur in areas of higher daily activities, areas with more opportunities for burglaries and have less chance of being arrested. The other model is the geographically weighted regression model that had a R2 value of 0.568, higher than the global regression model. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T06:30:50Z (GMT). No. of bitstreams: 1 ntu-95-R92228026-1.pdf: 4071830 bytes, checksum: 066144e710612b7d4e8cc65a87cb164a (MD5) Previous issue date: 2006 | en |
| dc.description.tableofcontents | 目 錄
第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 3 第二章 文獻回顧 4 第一節 犯罪理論 4 第二節 犯罪地圖製作 11 第三節 犯罪區位分析 23 第四節 小結 25 第三章 研究設計與方法 26 第一節 研究設計 26 第二節 研究方法 30 第四章 犯罪地圖製作 34 第一節 資料處理 34 第二節 分析結果 39 第五章 犯罪區位分析 44 第一節 資料處理 44 第二節 分析結果 48 第六章 結論與建議 56 第一節 研究結論 56 第二節 未來研究建議 58 參考文獻 60 中文參考文獻 60 英文參考文獻 61 | |
| dc.language.iso | zh-TW | |
| dc.subject | 犯罪熱點分析 | zh_TW |
| dc.subject | 地理加權迴歸 | zh_TW |
| dc.subject | 犯罪地圖 | zh_TW |
| dc.subject | 犯罪區位分析 | zh_TW |
| dc.subject | 住宅竊盜 | zh_TW |
| dc.subject | Geographical Weighted Regression | en |
| dc.subject | Residential Burglary | en |
| dc.subject | Crime map | en |
| dc.subject | Hot Spot Analysis | en |
| dc.subject | Crime Location Analysis | en |
| dc.title | 台北市住宅竊盜犯罪地圖製作與犯罪區位分析 | zh_TW |
| dc.title | Crime Mapping and Location Analysis of Residential Burglaries in Taipei City | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 94-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張平吾(Ping-Wu Chang),蔡博文(Bor-Wen Tsai) | |
| dc.subject.keyword | 住宅竊盜,犯罪地圖,犯罪熱點分析,犯罪區位分析,地理加權迴歸, | zh_TW |
| dc.subject.keyword | Residential Burglary,Crime map,Hot Spot Analysis,Crime Location Analysis,Geographical Weighted Regression, | en |
| dc.relation.page | 65 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2006-07-26 | |
| 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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