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| 03509cam 2200433zi 4500 |
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| 001 | 9.945643 |
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| 003 | CaOODSP |
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| 005 | 20241127113934 |
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| 006 | m o d f |
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| 007 | cr mn||||||||| |
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| 008 | 241127e20241127oncb obs f000 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 043 | |an-cn-on |
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| 045 | |ay1y2 |
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| 086 | 1 |aCS36-28-0001/2024-11-1E-PDF |
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| 100 | 1 |aBrown, Matthew, |eauthor. |
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| 245 | 10|aExploring property crime and business locations : |busing spatial analysis and firm count data to reveal correlations in Toronto, Ontario / |cby Matthew Brown, Mark Brown and Ryan Macdonald. |
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| 264 | 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cNovember 27, 2024. |
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| 264 | 4|c©2024 |
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| 300 | |a1 online resource (16 pages) : |bcolour maps. |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |aEconomic and social reports, |x2563-8955 ; |vv. 4, no. 11, November 2024 |
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| 500 | |aIssued also in French under title: Exploration des crimes contre les biens et de l'emplacement des entreprises : utilisation de l'analyse spatiale et des données sur le nombre d'entreprises pour révéler des corrélations à Toronto, en Ontario. |
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| 500 | |a"Catalogue no. 36-28-0001." |
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| 500 | |a"Research article." |
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| 504 | |aIncludes bibliographical references (pages 15-16). |
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| 520 | 3 |a"This article presents an exploratory analysis of the relationship between the population, firm counts andaverage property crime from 2017 to 2020 across the Toronto census metropolitan area (CMA). It combines datasets from different domains—crime, business counts and population data—using 500 m by 500 m spatial grids to explore their relationships. At this scale, residential and business land use can be at least partially separated, allowing the independent association between residential populations, business counts and crime to be measured and mapped across the Toronto CMA. This analysis provides a picture of the spatial pattern of crimes across the CMA, explores and validate the data by establishing expected baseline relationships, and points towards areas for more in-depth analysis to determine the relationship between crime and business outcomes. After accounting for the population of grid squares, a positive association between business counts and crime was found, consistent with previous work. Furthermore, after considering population and firm counts, statistically significant spatial clusters of high (and low) crime rates were found. This work therefore sets the foundation for future analysis that would examine how variations in crime rates across space and time affect business outcomes (e.g., firm profitability and exit)"--Abstract, page 1. |
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| 650 | 0|aOffenses against property|zOntario|zToronto|vStatistics. |
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| 650 | 0|aIndustrial location|zOntario|zToronto|vStatistics. |
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| 650 | 0|aSpatial analysis (Statistics) |
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| 655 | 7|aStatistics|2lcgft |
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| 710 | 2 |aStatistics Canada, |eissuing body. |
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| 775 | 08|tExploration des crimes contre les biens et de l'emplacement des entreprises : |w(CaOODSP)9.945646 |
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| 830 | #0|aEconomic and social reports (Statistics Canada)|vv. 4, no. 11, November 2024.|w(CaOODSP)9.895760 |
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| 856 | 40|qPDF|s1.02 MB|uhttps://publications.gc.ca/collections/collection_2024/statcan/36-28-0001/CS36-28-0001-2024-11-1-eng.pdf |
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| 856 | 4 |qHTML|sN/A|uhttps://doi.org/10.25318/36280001202401100001-eng |
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