| |  Online-Ressource |
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| Verfasst von: | Knoblauch, Steffen [VerfasserIn]  |
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| | Muthusamy, Ram Kumar [VerfasserIn] |
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| | Moritz, Maya [VerfasserIn] |
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| | Kang, Yuhao [VerfasserIn] |
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| | Li, Hao [VerfasserIn] |
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| | Lautenbach, Sven [VerfasserIn] |
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| | Pereira, Rafael H. M. [VerfasserIn] |
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| | Biljecki, Filip [VerfasserIn] |
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| | Gonzalez, Marta C. [VerfasserIn] |
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| | Barbosa, Rogerio [VerfasserIn] |
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| | Hirata, Daniel Veloso [VerfasserIn] |
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| | Ludwig, Christina [VerfasserIn] |
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| | Adamiak, Maciej [VerfasserIn] |
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| | de A. Rocha, Antônio A. [VerfasserIn] |
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| | Zipf, Alexander [VerfasserIn] |
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| Titel: | Crime-associated inequality in geographical access to education |
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| Titelzusatz: | Insights from the municipality of Rio de Janeiro |
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| Verf.angabe: | Steffen Knoblauch, Ram Kumar Muthusamy, Maya Moritz, Yuhao Kang, Hao Li, Sven Lautenbach, Rafael H.M. Pereira, Filip Biljecki, Marta C. Gonzalez, Rogerio Barbosa, Daniel Veloso Hirata, Christina Ludwig, Maciej Adamiak, Antônio A. de A. Rocha, Alexander Zipf |
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| E-Jahr: | 2025 |
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| Jahr: | May 2025 |
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| Umfang: | 16 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Online veröffentlicht: 27. Februar 2025, Artikelversion: 27. Februar 2025 ; Gesehen am 11.06.2025 |
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| Titel Quelle: | Enthalten in: Cities |
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| Ort Quelle: | Amsterdam [u.a.] : Elsevier Science, 1983 |
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| Jahr Quelle: | 2025 |
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| Band/Heft Quelle: | 160(2025) vom: Mai, Artikel-ID 105818, Seite 1-16 |
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| ISSN Quelle: | 0264-2751 |
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| Abstract: | Education is a fundamental right, supported by initiatives like Education for All (EFA) and the Millennium Development Goals (MDGs). Despite progress, full educational access remains challenging, particularly in highly criminal areas. This paper examines the impact of crime on school access in the municipality of Rio de Janeiro. Using ancillary data and geospatial artificial intelligence (GeoAI), we downscaled official police crime records to street level. By considering different levels of crime tolerance in school path choices, we simulated how crime can force students to walk longer distances to avoid violence. Our findings indicate a 48.60 % average increase in travel time to the closest school for students whose shortest routes intersect with high-crime areas. This adjustment reduces mean crime exposure by 44.10 % and maximum exposure by 81.94 %. Both individual crime risk aversion and no-go areas of criminal disputes significantly (p ≤ 0.05) impacted educational access. Estimating street-level crime exposure was challenging due to spatial bias in official and crowdsourced crime reporting. These methods and insights are crucial for improving educational access in high-crime areas, providing a better understanding of barriers to equitable education, and being applicable to other cities and accessibility studies for various societal needs. |
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| DOI: | doi:10.1016/j.cities.2025.105818 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1016/j.cities.2025.105818 |
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| | kostenfrei: Volltext: https://www.sciencedirect.com/science/article/pii/S0264275125001180 |
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| | DOI: https://doi.org/10.1016/j.cities.2025.105818 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Crime |
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| | Educational access |
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| | GeoAI |
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| | Inequality |
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| | OpenRouteService |
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| | Rio de Janeiro |
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| | Simulation |
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| K10plus-PPN: | 1927979714 |
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| Verknüpfungen: | → Zeitschrift |
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Crime-associated inequality in geographical access to education / Knoblauch, Steffen [VerfasserIn]; May 2025 (Online-Ressource)
