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
Knowing your neighbourhood: local ecology and personal experience predict neighbourhood perceptions in Belfast, Northern Ireland
Stockholm University, Faculty of Social Sciences, Department of Sociology. University College London, UK.
Number of Authors: 32016 (English)In: Royal Society Open Science, E-ISSN 2054-5703, Vol. 3, no 12, article id 160468Article in journal (Refereed) Published
Abstract [en]

Evolutionary theory predicts that humans should adjust their life-history strategies in response to local ecological threats and opportunities in order to maximize their reproductive success. Cues representing threats to individuals' lives and health in modern, Western societies may come in the form of local ages at death, morbidity rate and crime rate in their local area, whereas the adult sex ratio represents a measure of the competition for reproductive partners. These characteristics are believed to have a strong influence over a wide range of behaviours, but whether they are accurately perceived has not been robustly tested. Here, we investigate whether perceptions of four neighbourhood characteristics are accurate across eight neighbourhoods in Belfast, Northern Ireland. We find that median age at death and morbidity rates are accurately perceived, whereas adult sex ratios and crime rates are not. We suggest that both neighbourhood characteristics and personal experiences contribute to the formation of perceptions. This should be considered by researchers looking for associations between area-level factors.

Place, publisher, year, edition, pages
2016. Vol. 3, no 12, article id 160468
Keywords [en]
life-history theory, ecological perceptions, mortality risk, morbidity risk
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:su:diva-140270DOI: 10.1098/rsos.160468ISI: 000391731800008PubMedID: 28083095OAI: oai:DiVA.org:su-140270DiVA, id: diva2:1081822
Available from: 2017-03-15 Created: 2017-03-15 Last updated: 2022-03-23Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records

Uggla, Caroline

Search in DiVA

By author/editor
Uggla, Caroline
By organisation
Department of Sociology
In the same journal
Royal Society Open Science
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 38 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