Beyond Proximity: Investigating Crime With Organic Neighborhoods and a Two-Stage Unsupervised Learning Approach
Abstract
Studying the relationship between neighborhoods and individual-level outcomes such as crime, labor market success, or intergenerational mobility has a long history in the social sciences. As local processes like gentrification constantly change neighborhoods’ composition and spatial expansion, time-constant one-size-fits-all neighborhood measures fail to capture important local dynamics. This article presents a flexible and data-driven approach for efficiently estimating overlapping and arbitrarily shaped neighborhoods with time-dynamic boundaries. Constructed in a two-stage clustering design, the first stage identifies homogeneous groups within a city, while the second stage clusters homogeneous groups by spatial proximity. In an analysis of 86 million person-year observations from 76 German cities, the paper shows that a larger spatial expansion of affluent neighborhoods negatively correlates with city crime cases, while higher neighborhood fragmentation and heterogeneity correlate positively with crime rates. The findings stress the importance of flexible neighborhood estimation techniques and the necessity to view neighborhoods as nonconstant entities.
Ingestion failed: Traceback (most recent call last): File "/srv/app/app/worker.py", line 85, in run_once process_job(db, job) File "/srv/app/app/worker.py", line 39, in process_job pdf_path, info = fetch_pdf_temp(candidate["url"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/srv/app/app/downloader.py", line 129, in fetch_pdf_temp raise ValueError(f"PDF source returned HTTP {response.status_code}.") ValueError: PDF source returned HTTP 403.
No local PDF is available.
GROBID Extracted text; discontinued.
This text is generated from TEI extraction for accessibility, search, and TTS. Formulas, tables, figures, page layout, and references may not perfectly match the original PDF.
No accessible text representation is available. The text extraction service has been discontinued for the time being. If you require this service, for accessibility or any other reason, please submit an issue/request on this page.
Metadata
Issues
No public issues have been filed for this DOI.
Submit an issue
Record history
| When | Event | Field | Old | New |
|---|---|---|---|---|
| 2026-06-18 19:37:53.011249+00:00 | identifier_assigned | DSEID | DSEID-001-2710911 |