Comparing Residents' Fear of Crime with Recorded Crime Data-Case Study of Ostrava, Czech Republic

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F19%3A10242710" target="_blank" >RIV/61989100:27350/19:10242710 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/19:73595769
Result on the web
<a href="https://www.mdpi.com/2220-9964/8/9/401" target="_blank" >https://www.mdpi.com/2220-9964/8/9/401</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijgi8090401" target="_blank" >10.3390/ijgi8090401</a>

Result language
angličtina
Original language name
Comparing Residents' Fear of Crime with Recorded Crime Data-Case Study of Ostrava, Czech Republic
Original language description
The fear of crime is an established research topic, not only in sociology, environmental psychology and criminology, but also in GIScience. Using spatial analysis to analyse patterns, explore hotspots and determine the significance of respective surveys is one reason for the increase in popularity of such research topics for geographers, cartographers and spatial data scientists. This paper presents the results of an intensive online map-based questionnaire with 1551 respondents from the city of Ostrava, Czech Republic. The respondents marked 3792 points associated with the fear of crime over a ten week period. The perception data were compared with recorded crime data acquired from police department records for the years 2015-2018. This paper explores the spatial autocorrelation from perceived hotspots and from recorded crime hotspots. Our findings fit into the literature confirming results about the locations that most frequently attract fear, but there is still room for more investigations regarding the links between recorded crime and the fear of crime.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50702 - Urban studies (planning and development)

Project
<a href="/en/project/TJ01000465" target="_blank" >TJ01000465: Effective Methods of Identification, Assessment and Monitoring of Safety Risk Areas Using Spatial Micro-data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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