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Crime Seasonality: Examining the Temporal Fluctuations of Property Crime in Cities With Varying Climates
This study investigates whether crime patterns fluctuate periodically throughout the year using data containing different property crime types in two Canadian cities with differing climates. Using police report data, a series of ordinary least squares (OLS; Vancouver, British Columbia) and negative...
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Published in: | International journal of offender therapy and comparative criminology 2017-12, Vol.61 (16), p.1866-1891 |
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container_end_page | 1891 |
container_issue | 16 |
container_start_page | 1866 |
container_title | International journal of offender therapy and comparative criminology |
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creator | Linning, Shannon J. Andresen, Martin A. Brantingham, Paul J. |
description | This study investigates whether crime patterns fluctuate periodically throughout the year using data containing different property crime types in two Canadian cities with differing climates. Using police report data, a series of ordinary least squares (OLS; Vancouver, British Columbia) and negative binomial (Ottawa, Ontario) regressions were employed to examine the corresponding temporal patterns of property crime in Vancouver (2003-2013) and Ottawa (2006-2008). Moreover, both aggregate and disaggregate models were run to examine whether different weather and temporal variables had a distinctive impact on particular offences. Overall, results suggest that cities that experience greater variations in weather throughout the year have more distinct increases of property offences in the summer months and that different climate variables affect certain crime types, thus advocating for disaggregate analysis in the future. |
doi_str_mv | 10.1177/0306624X16632259 |
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Using police report data, a series of ordinary least squares (OLS; Vancouver, British Columbia) and negative binomial (Ottawa, Ontario) regressions were employed to examine the corresponding temporal patterns of property crime in Vancouver (2003-2013) and Ottawa (2006-2008). Moreover, both aggregate and disaggregate models were run to examine whether different weather and temporal variables had a distinctive impact on particular offences. 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Overall, results suggest that cities that experience greater variations in weather throughout the year have more distinct increases of property offences in the summer months and that different climate variables affect certain crime types, thus advocating for disaggregate analysis in the future.</description><subject>British Columbia</subject><subject>Cities</subject><subject>Climate</subject><subject>Crime</subject><subject>Crime - statistics & numerical data</subject><subject>Humans</subject><subject>Least-Squares Analysis</subject><subject>Offenses</subject><subject>Ontario</subject><subject>Police</subject><subject>Property</subject><subject>Property crime</subject><subject>Property offences</subject><subject>Regression Analysis</subject><subject>Seasons</subject><subject>Summer</subject><subject>Temporal patterns</subject><subject>Time</subject><subject>Weather</subject><issn>0306-624X</issn><issn>1552-6933</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNp1kc1L5TAQwIMo61vd-54k4GUvXfPRJo23pai7ICj4eSvTduqLtM3bJIV9_715PF1EcC5zmN_8hpkh5DtnPznX-oRJppTIH7lSUojC7JAFLwqRKSPlLllsytmmvk--hvDMUuSl_kL2hTKlNlouyLLydkR6gxDcBION61N69g9GO9npicYl0lscV87DQM-HuY0zROumQF1Pr71boY9rulXYiVY2Wgz0wcYlvQe_3iiqwY4QMRySvR6GgN9e8wG5Oz-7rX5nl1cXf6pfl1mbcxEzbVrMhVYNQtOAYJr3wkgE02ome9lrVYLMoSiN1ryDvuuannccWqakNLKQB-TH1rvy7u-MIdajDS0OA0zo5lDzUiilWMnzhB5_QJ_d7NMVEmWUKplhTCeKbanWuxA89vUq7Zu2qzmrN1-oP34htRy9iudmxO5_w9vZE5BtgQBP-G7qZ8IXrbmPVQ</recordid><startdate>201712</startdate><enddate>201712</enddate><creator>Linning, Shannon J.</creator><creator>Andresen, Martin A.</creator><creator>Brantingham, Paul J.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7U3</scope><scope>7U4</scope><scope>BHHNA</scope><scope>DWI</scope><scope>K7.</scope><scope>WZK</scope><scope>7X8</scope></search><sort><creationdate>201712</creationdate><title>Crime Seasonality: Examining the Temporal Fluctuations of Property Crime in Cities With Varying Climates</title><author>Linning, Shannon J. ; 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Using police report data, a series of ordinary least squares (OLS; Vancouver, British Columbia) and negative binomial (Ottawa, Ontario) regressions were employed to examine the corresponding temporal patterns of property crime in Vancouver (2003-2013) and Ottawa (2006-2008). Moreover, both aggregate and disaggregate models were run to examine whether different weather and temporal variables had a distinctive impact on particular offences. Overall, results suggest that cities that experience greater variations in weather throughout the year have more distinct increases of property offences in the summer months and that different climate variables affect certain crime types, thus advocating for disaggregate analysis in the future.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>26987973</pmid><doi>10.1177/0306624X16632259</doi><tpages>26</tpages></addata></record> |
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source | Applied Social Sciences Index & Abstracts (ASSIA); SAGE:Jisc Collections:SAGE Journals Read and Publish 2023-2024:2025 extension (reading list); Sociological Abstracts |
subjects | British Columbia Cities Climate Crime Crime - statistics & numerical data Humans Least-Squares Analysis Offenses Ontario Police Property Property crime Property offences Regression Analysis Seasons Summer Temporal patterns Time Weather |
title | Crime Seasonality: Examining the Temporal Fluctuations of Property Crime in Cities With Varying Climates |
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