WHAT'S SAUCE FOR THE GOOSE IS SAUCE FOR THE GANDER? EVIDENCE FOR NEAR REPEAT VICTIMIZATION THEORY IN ASTANA AND ALMATY

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dc.contributor.authorBulatov, Bekzat
dc.date.accessioned2024-05-14T12:34:37Z
dc.date.available2024-05-14T12:34:37Z
dc.date.issued2024-04-22
dc.description.abstractThis study focuses on the phenomenon of near repeat victimization in the cities of Astana and Almaty. In order to understand the mechanisms underlying this phenomenon and identify its characteristics in the context of two different metropolitan areas in Kazakhstan, we analyze contemporary crime data and academic research. We hypothesize that factors such as the geographical distribution of crime and the effectiveness of policing interventions may have a significant impact on the frequency and nature of repeat crime in these cities. The results of our study will allow us to better understand the nature of this phenomenon and offer recommendations for improving measures to prevent the near repetition of victimization in Astana and Almaty.en_US
dc.identifier.citationBulatov, B. (2024). WHAT'S SAUCE FOR THE GOOSE IS SAUCE FOR THE GANDER? EVIDENCE FOR NEAR REPEAT VICTIMIZATION THEORY IN ASTANA AND ALMATY. Nazarbayev University School of Sciences and Humanitiesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7664
dc.language.isoenen_US
dc.publisherNazarbayev University School of Sciences and Humanitiesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Open Accessen_US
dc.subjectnear repeat victimization theoryen_US
dc.subjectcrime patternsen_US
dc.subjectcriminologyen_US
dc.subjectcrime in Kazakhstanen_US
dc.subjectspatial analysisen_US
dc.subjectcrime preventionen_US
dc.subjecttheftsen_US
dc.subjectcriminal justiceen_US
dc.subjectcrime analysisen_US
dc.titleWHAT'S SAUCE FOR THE GOOSE IS SAUCE FOR THE GANDER? EVIDENCE FOR NEAR REPEAT VICTIMIZATION THEORY IN ASTANA AND ALMATYen_US
dc.typeBachelor's thesisen_US
workflow.import.sourcescience

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