کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11020541 | 1716297 | 2018 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Growing pains or appreciable gains? Latent classes of neighborhood change, and consequences for crime in Southern California neighborhoods
ترجمه فارسی عنوان
در حال رشد درد و یا درآمد قابل ملاحظه؟ کلاس های وابسته به تغییر محله و پیامدهای آن برای جرم در محله های کالیفرنیای جنوبی
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کلمات کلیدی
محله ها، جرم، تغییر دادن، موقتی فضایی،
موضوعات مرتبط
علوم انسانی و اجتماعی
روانشناسی
روانشناسی اجتماعی
چکیده انگلیسی
This study explored the dynamic nature of neighborhoods using a relatively novel approach and data source. By using a nonparametric holistic approach of neighborhood change based on latent class analysis (LCA), we have explored how changes in the socio-demographic characteristics of residents, as well as home improvement and refinance activity by residents, are related to changes in neighborhood crime over a decade. Utilizing annual home mortgage loan data in the city of Los Angeles from the years 2000-2010, we 1) conducted principle components factor analyses using measures of residential in-migration and home investment activities; 2) estimated LCA models to identify classes of neighborhoods that shared common patterns of change over the decade; 3) described these 11 classes; 4) estimated change-score regression models to assess the relationship of these classes with changing crime rates. The analyses detected six broad types of neighborhood change: 1) stability; 2) urban investors; 3) higher-income home buyers; 4) in-mover oscillating; 5) oscillating refinance; 6) mixed-trait. The study describes the characteristics of each of these classes, and how they are related to changes in crime rates over the decade.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Social Science Research - Volume 76, November 2018, Pages 77-91
Journal: Social Science Research - Volume 76, November 2018, Pages 77-91
نویسندگان
Nicholas Branic, John R. Hipp,