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Multi-factors evaluation of the impact of the street-level on sexual crime occurrences using computer vision and big data: a case study of Manhattan

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dc.contributor.authorCai, Yuxuan
dc.contributor.authorLi, Hongqian
dc.contributor.authorDai, Shuyao
dc.date.accessioned2024-01-19T13:16:13Z
dc.date.available2024-01-19T13:16:13Z
dc.date.issued2023en
dc.descriptionBook of proceedings: 35th AESOP Annual Congress Integrated planning in a world of turbulence, Łódź, 11-15th July, 2023en
dc.description.abstractManhattan, a central US hub for economics and entertainment, consistently battles high crime rates. Despite existing research examining correlations between overall crime, spatial and sociodemographic factors, or urban architecture's influence on specific crimes, there's a dearth of empirical studies integrating street-level urban features and sociodemographic contexts in sexual crime analysis. This study employs computer vision, machine learning, and big data to investigate associations between Manhattan's urban environment and street-level sex crimes. Two initial Ordinary Least Squares (OLS) models examine the distribution of these crimes from macro-urban and micro-environmental perspectives. A Geographically Weighted Regression (GWR) model further explores local sex crime correlations with different spatial-scale variables. The results suggest a model incorporating multi-dimensional microenvironmental characteristics more effectively explains the incidence of sexual crimes. Keywords: Sexual Violence, Semantic Segmentation, Space Syntax, Least Square Regression (OLS), Geographic Weighted Regression (GWR)
dc.description.versionpublished versionen
dc.identifier.isbn978-908-28191-9-9en
dc.identifier.pageNumber157-188
dc.identifier.urihttps://hdl.handle.net/20.500.14235/1202
dc.language.isoEnglishen
dc.publisherAESOPen
dc.rightsopenaccessen
dc.rights.licenseCC BY 4.0en
dc.sourceBook of proceedings: 35th AESOP Annual Congress Integrated planning in a world of turbulence, Łódź, 11-15th July, 2023en
dc.titleMulti-factors evaluation of the impact of the street-level on sexual crime occurrences using computer vision and big data: a case study of Manhattan
dc.typeConference objecten
dc.type.versionpublishedVersionen
dspace.entity.typePublication
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2023 Integrated Planning in a World of Turbulence, Łódź 11-15th July