Visualising residents' fear of crime with recorded crime data from four Czech cities

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F22%3A10249580" target="_blank" >RIV/61989100:27350/22:10249580 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/22:73613651
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/17445647.2022.2035263" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/17445647.2022.2035263</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/17445647.2022.2035263" target="_blank" >10.1080/17445647.2022.2035263</a>

Result language
angličtina
Original language name
Visualising residents' fear of crime with recorded crime data from four Czech cities
Original language description
The paper investigates if and where registered crime and the fear of crime intersect in the four locations. This information is important to reduce crime and increase the sense of security of the population. In the past, research was applied to small parts of a city or a whole city, but not in as much detail as this paper. Our research is detailed, and at the same time is applied to four entire locations - three Czech cities (Ostrava, Olomouc, and Kolín) and one Prague district (Prague 12). We placed registered crime and fear of crime on one map to show locations where people feel afraid, where crime happens, and where both events occur together. We drew these phenomena using Moran's I in a bivariate map. The outputs will be applied by Municipal governments and police departments. (C) 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Journal of Maps.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10500 - Earth and related environmental sciences

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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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