kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
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
  • rtf
Identifying risky facilities
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Urban and Regional Studies. (Säkerhet och trygghet forskningsgrupp (STF))ORCID iD: 0000-0001-5302-1698
Nottingham Trent University, Nottingham, UK.ORCID iD: 0000-0002-2491-8401
2024 (English)In: Systems Thinking for Sustainable Crime Prevention: Planning for Risky Places, New York: Routledge, 2024, 1st, p. 68-84Chapter in book (Other academic)
Abstract [en]

In this chapter, we examine the first of our three key elements of risky places and discuss what we know about risky facilities. We explore several examples of risky facilities, including bars, libraries, schools, banks, and bus stops. We review what we know about crime concentration and disproportionality at each of these facilities and discuss possible reasons why a small proportion of each type of facility accounts for most of the crime and disorder problems experienced by all facilities of that type. We assess potential commonalities and differences between the identified risky facilities in terms of types of environments, users, types of available services or products, and spatial and temporal contexts that make these facilities more of a target than others. We consider mismatches between crime and fear of crime when risky facilities are perceived as safe but reported crime rates are low. By bringing in examples from different country contexts, we can critically assess potential similarities and differences and identify pertinent features of risky places that hold true across multiple contexts.

Place, publisher, year, edition, pages
New York: Routledge, 2024, 1st. p. 68-84
Keywords [en]
risky facilities, crime, 80/20 rule, Pareto principle, fear of crime
National Category
Social Sciences Other Social Sciences
Research subject
Planning and Decision Analysis, Strategies for sustainable development; Planning and Decision Analysis, Urban and Regional Studies; Planning and Decision Analysis, Risk and Safety
Identifiers
URN: urn:nbn:se:kth:diva-355836DOI: 10.4324/9781003281030-4OAI: oai:DiVA.org:kth-355836DiVA, id: diva2:1910036
Funder
Olle Engkvists stiftelse
Note

Part of ISBN 9781003281030

QC 20241107

Available from: 2024-11-03 Created: 2024-11-03 Last updated: 2024-11-07Bibliographically approved

Open Access in DiVA

fulltext(252 kB)77 downloads
File information
File name FULLTEXT01.pdfFile size 252 kBChecksum SHA-512
433d9a9c77822165adc02c0ebb1eaeafcb38e0697e23007057e3bdf3bdd54e5001310ec317ea0d556e24abbb6dca69d61d62f566a87b12fe50697a0c6c5350a1
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Ceccato, Vania

Search in DiVA

By author/editor
Ceccato, VaniaNewton, Andy
By organisation
Urban and Regional Studies
Social SciencesOther Social Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 78 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 205 hits
CiteExportLink to record
Permanent link

Direct link
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
  • rtf