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Analyzing risky nodes
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. 85-109Chapter in book (Other academic)
Abstract [en]

In this chapter, we examine the second of three key elements of risky places and discuss ‘risky nodes.’ We consider risky places here at the ‘meso’ level, which is larger than individual land parcels or facilities, where multiple features are close together. These can even be considered as ‘mega’ or ‘super’ facilities, such as a sports stadium or large train station. Nodes represent a convergence of people or information in urban spaces. We examine parks, stations, shopping malls, stadiums, education campuses, public housing, and night-time entertainment zones. We find the risk is not equal, and the 80/20 principle applies; crime is concentrated at a small proportion of these nodes. This chapter considers how risk varies across similar risky nodes and between different types of risky nodes. We demonstrate these patterns not just in the Global North but also in the Global South. We explore how people use these settings, the connectedness within these nodes, and how the management of these settings all contribute to its criminogenic. We also investigate new forms of interaction between the physical and cyber environments, which create new opportunities for crime.

Place, publisher, year, edition, pages
New York: Routledge, 2024, 1st. p. 85-109
Keywords [en]
Risky places, risky nodes, mega-facilities, people generators, crime generators, and attractors
National Category
Social Sciences Other Social Sciences
Research subject
Planning and Decision Analysis, Strategies for sustainable development; Planning and Decision Analysis, Risk and Safety; Planning and Decision Analysis, Urban and Regional Studies
Identifiers
URN: urn:nbn:se:kth:diva-355838DOI: 10.4324/9781003281030-5OAI: oai:DiVA.org:kth-355838DiVA, id: diva2:1910037
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

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fulltext(1368 kB)109 downloads
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Ceccato, Vania

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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  • 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
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  • asciidoc
  • rtf