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논문 기본 정보

자료유형
학술대회자료
저자정보
박승훈 (계명대학교)
저널정보
한국주거학회 한국주거학회 학술대회논문집 2013년 한국주거학회 춘계학술발표대회 논문집
발행연도
2013.4
수록면
269 - 273 (5page)

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The purpose of the study is to explore the relationship between housing types and crime and to suggest the appropriate strategies and interventions of housing policies for crime prevention. For the spatial analysis of crime data, a spatial autoregressive model is employed because the crime data used in this study displays spatial autocorrelation. The results show that none of housing types are associated with crime. But land-use characteristics such as residential or commercial areas are likely to better explain crime events rather than housing types. It is surprising that residents" satisfaction regarding their residential environments has a positive association with crime. However, fear of crime has a negative direction with crime although it fails to have a statistical significance. If there is spatial autocorrelation in the spatial pattern of crime events, spatial autoregressive model should be employed in order to explain the effects of housing types on crime, accounting for spatial autocorrelation. But, because Moran’s I Test does not show that there is spatial autocorrelation in this study, OLS regression model is satisfied to explain whether housing types affect crime. The findings of this study contribute to better understand the association between housing types and crime in order to build crime-free environments.

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Abstract
I. 서론
II. 이론적 배경
III. 연구방법
IV. 연구결과
V. 결론
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