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Crime and environment. Analysis of facilities as crime risk factors in Niš, Serbia

Przestępczość i środowisko. Analiza obiektów jako czynników ryzyka przestępczości w Niszu w Serbii

Bibliographic Data

ID11617509
AuthorsDušan Stanković (0000-0002-2839-0536, Police Scotland, corresponding author)
Year2021
IssueXLII/2
Pages49-65
Publication date2021-02-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueArchiwum Kryminologii (JOURNAL)
Journal identifiersISSN: 2719-4280 • E-ISSN: 0066-6890
PublisherPolish Scientific Publishers PWN (PUBLISHER • PL)
DOI10.7420/ak2020w
OpenAlexW3135397840
LanguageEN
References cited16

This study aimed to examine the relationship between environmental facilities as risk factors and crime. Police data of property and violent criminal offences registered during 2018 in the city of Niš, Republic of Serbia, has been geocoded. Grid cells of 100 by 100 meters were designed as spatial units for the analysis, and geoinformation data of 12 different facilities were extracted from GIS. The negative binomial regression model was constructed to investigate crime risky facilities. The crime is mostly related to facilities as banks and exchange offices, bus stops, gyms and recreational centers. On the other hand, cafes, nightclubs, and big shopping centers were not significantly associated with crime. Finally, limitations, practical and theoretical usage of the research are discussed

Binomial regression · Business · Cartography · Crime analysis · Crime prevention · Criminology · Geocoding · Geographic information system · Geography · Negative binomial distribution · Political science · Property crime · Recreation · Regression analysis · Sociology · Statistics · Violent crime · Crime Patterns and Interventions · Crime, Deviance, and Social Control · Law · Mathematics · Wildlife Conservation and Criminology Analyses

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