2016
DOI: 10.1553/giscience2016_02_s123
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Measuring Citizens’ Fear of Crime Using a Web Application: A Case Study

Abstract: The authors evaluate the use of a Google API web application to test where people feel safe and unsafe with respect to crime in Nagykanizsa, a relatively small settlement in Hungary. The web application provided users with tools to show areas where they feel safe or feel fear, which they indicated with polygons. The authors introduce how the application was developed and how the participants used it.

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Cited by 11 publications
(6 citation statements)
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“…The allocation of hotspots in relation to the perception of safety (Figure 3) did not provide many surprises, and the results are in accordance with the results from other fear of crime research, not only in the Czech Republic [52,57,58], but also in other countries [59][60][61]. The usual suspects are transportation hubs, in this case they are train/bus stations, urban parks (mainly during the night), shadowy narrow streets with limited public lighting and/or public spaces in close proximity to nightclubs/bars/gambling houses.…”
Section: Discussionsupporting
confidence: 86%
“…The allocation of hotspots in relation to the perception of safety (Figure 3) did not provide many surprises, and the results are in accordance with the results from other fear of crime research, not only in the Czech Republic [52,57,58], but also in other countries [59][60][61]. The usual suspects are transportation hubs, in this case they are train/bus stations, urban parks (mainly during the night), shadowy narrow streets with limited public lighting and/or public spaces in close proximity to nightclubs/bars/gambling houses.…”
Section: Discussionsupporting
confidence: 86%
“…The data used in this research was collected in 2017 and is constrained to the city of Budapest 2 . Budapest, is selected as the most crime affected city in Hungary, but not researched extensively [18]. The survey requested to draw a digital structured sketch map over a web-based map, in which the participant indicated the areas that (s)he perceives as unsafe or safe.…”
Section: Data: Description Pre-processing and Geo-processingmentioning
confidence: 99%
“…When it comes to a research on how citizens perceive crime in the area where they live, there is a great body of literature related to exploration of citizens' fear of crimes and their perception of dangerous places [17][18][19][20]. However, evaluations of the accuracy of frontline police officers' perception related to hotspots are rare in the scientific literature.…”
Section: Research On the Accuracy Of Police Officers' Perceptions Of mentioning
confidence: 99%