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ANALYSIS OF QUANTITATIVE VARIABLES OBTAINED FROM OPEN DATA IN GENDER VIOLENCE PREVENTION STUDIES. CASE OF STUDY: VALENCIA (SPAIN)

Ana Belen Anquela, Matilde Balaguer-Puig, Aurea Gallego-Salguero, Sandra Hernandez-Zetina, Juan Vicente Chiva

First published: 2023https://doi.org/10.35603/sws.iscss.2023/sv07.14View metrics

Abstract

Gender-based violence is a threat to women's safety worldwide. The perception ofpublic spaces as a real or perceived threat to women ("fear of space") is an importantfactor in considering urban safety and can play a key role in preventing gender-basedviolence by perpetrators who are strangers to the victim.This article discusses strategies for identifying geo-referenced variables to model thisperception of urban space as a risk space for this type of gender-based violence. Thevarious data required are costly to obtain and need to be kept up to date. For this reason,data provided by the open data portals of the Spanish, Valencian and localadministrations and the OpenStreetMap platform were used. Information was obtainedon socio-economic variables, the services sector, real-time traffic information and realestate data.As a first step, this paper presents a statistical study to determine and validate thecorrelation between these variables. The results of the study show a moderately highcorrelation between the selected real estate variables. The remaining variables show amoderate or low correlation.In addition to the results obtained, the existence of open data offered by governmentagencies in studies related to the evaluation of safety in public spaces is of fundamentalimportance.

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Publication details

Title
ANALYSIS OF QUANTITATIVE VARIABLES OBTAINED FROM OPEN DATA IN GENDER VIOLENCE PREVENTION STUDIES. CASE OF STUDY: VALENCIA (SPAIN)
Authors
Ana Belen Anquela, Matilde Balaguer-Puig, Aurea Gallego-Salguero, Sandra Hernandez-Zetina, Juan Vicente Chiva
Proceedings
Proceedings of 10th SWS International Scientific Conference on Social Sciences - ISCSS 2023
Publisher
SGEM WORLD SCIENCE (SWS) Scholarly Society
Year
2023
Pages
393-399
SWS Citekey
Anquela20237393399
ISSN
2682-9959
ISBN
978-3-903438-06-4
Language
en
Publication type
Proceedings Paper
Keywords
References13
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