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Chapter 14 - Individual and spatial dimensions of women’s fear of crime: A Scandinavian study case
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Urban and Regional Studies.
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Urban and Regional Studies. Säkraplatser Nätverket. (Säkerhet och trygghet forskningsgrupp (STF))ORCID iD: 0000-0001-5302-1698
2020 (English)In: Crime and Fear in Public Places: Towards Safe, Inclusive and Sustainable Cities, London & New York: Routledge, 2020, p. 265-286Chapter in book (Other academic)
Abstract [en]

Using insights from criminology and urban geography, this article seeks to investigate individual and spatial dimensions of women’s fear of crime, in particular amongst women who declare to feel the most unsafe. This study is based on three waves of data of the Stockholm Safety Survey using exploratory data analysis and binary logistic regression. Informed by an intersectional framework, the study shows how individual attributes, including gender, age, and previous victimization affect women’s perception of safety. Modeling results indicate how the neighborhood context affects women’s behavior in the face of fear (functional and dysfunctional fear). Among the most fearful women, poor social contacts in their neighborhood, rather than fear of crime itself, leads to place avoidance.

Place, publisher, year, edition, pages
London & New York: Routledge, 2020. p. 265-286
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:kth:diva-291529DOI: 10.4324/9780429352775-18OAI: oai:DiVA.org:kth-291529DiVA, id: diva2:1537118
Note

Part of book: ISBN 9780429352775

QC 20210710

Available from: 2021-03-14 Created: 2021-03-14 Last updated: 2022-06-25Bibliographically approved

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Ceccato, Vania

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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