Advancing urban management: Integrating GIS, LLMs, and media narratives into environmental and socio-economic analyses for enhanced urban crime analysis
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| Publicat a: | PLoS One vol. 20, no. 11 (Nov 2025), p. e0331788 |
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| Autor principal: | |
| Publicat: |
Public Library of Science
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| Accés en línia: | Citation/Abstract Full Text Full Text - PDF |
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MARC
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|---|---|---|---|
| 001 | 3276035041 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1932-6203 | ||
| 024 | 7 | |a 10.1371/journal.pone.0331788 |2 doi | |
| 035 | |a 3276035041 | ||
| 045 | 2 | |b d20251101 |b d20251130 | |
| 084 | |a 174835 |2 nlm | ||
| 100 | 1 | |a Cai, Yuxuan | |
| 245 | 1 | |a Advancing urban management: Integrating GIS, LLMs, and media narratives into environmental and socio-economic analyses for enhanced urban crime analysis | |
| 260 | |b Public Library of Science |c Nov 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This study examines how crime is reported in the media, how the public perceives crime, and how urban environmental and economic factors interact at both global and local spatial scales to shape criminal activity. The research analyzed 3,507 reports from the top 100 media outlets from 2023 to 2024 and utilized a large language model to extract key information. The test results showed that the inter-coder reliability between human labeling and LLM labeling datasets reached 0.92 and examining the discrepancies between media narratives and actual crime data. By applying traditional econometric and Geographic Information Systems (GIS) geospatial regression techniques, the study revealed the impacts of environmental and economic factors on crime distribution, as well as the spatial relationships between urban structural features (such as road network density and vacant buildings) and crime rates in the Chicago area. Additionally, through Geographically Weighted Regression (GWR), the study further investigated the local differences between crime rates and socio-economic and environmental factors. The research found that selective news reporting might distort public understanding and affect policy responses. The findings provide insights for urban safety strategies and crime prevention policies, emphasizing the need to enhance the accuracy of media reports and public education, and offer valuable guidance for policymakers and urban planners on how to improve urban safety through environmental and economic planning. | |
| 651 | 4 | |a United States--US | |
| 651 | 4 | |a Illinois | |
| 651 | 4 | |a Chicago Illinois | |
| 653 | |a Reliability | ||
| 653 | |a Censuses | ||
| 653 | |a Datasets | ||
| 653 | |a Safety | ||
| 653 | |a Geographic information systems | ||
| 653 | |a Urban crime | ||
| 653 | |a Economic conditions | ||
| 653 | |a Crime prevention | ||
| 653 | |a Economic factors | ||
| 653 | |a Robbery | ||
| 653 | |a Social sciences | ||
| 653 | |a Economic planning | ||
| 653 | |a Narratives | ||
| 653 | |a Open data | ||
| 653 | |a Criminal statistics | ||
| 653 | |a Crime | ||
| 653 | |a Socioeconomics | ||
| 653 | |a Spatial analysis | ||
| 653 | |a Information processing | ||
| 653 | |a Environmental factors | ||
| 653 | |a Mass media | ||
| 653 | |a Fear of crime | ||
| 653 | |a Socioeconomic factors | ||
| 653 | |a Built environment | ||
| 653 | |a Urban planning | ||
| 653 | |a Labeling | ||
| 653 | |a Policy making | ||
| 653 | |a Urban areas | ||
| 653 | |a Environmental aspects | ||
| 653 | |a Resource management | ||
| 653 | |a Perceptions | ||
| 653 | |a Roads & highways | ||
| 653 | |a Large language models | ||
| 653 | |a Environmental impact | ||
| 653 | |a Natural language processing | ||
| 653 | |a Remote sensing | ||
| 653 | |a Social | ||
| 773 | 0 | |t PLoS One |g vol. 20, no. 11 (Nov 2025), p. e0331788 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3276035041/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3276035041/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3276035041/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |