Cited by 182Urban and spatial planningEconomic and Environmental ValuationLand Use and Ecosystem Services

Exploring public preferences for traditional farming landscapes

Howley, Peter, Donoghue, Cathal O., Hynes, Stephen·2012·Landscape and Urban Planning

Integrity signals

Registry

Crossref · 10.1016/j.landurbplan.2011.09.006

Cites

64 of 64 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • Including distinct types of stakeholders (locals and experts) in perception analyses is important, as different groups can harbor diverging values.

    “Including distinct types of stakeholders (locals and experts) in such perception analyses is important, as different groups can harbor diverging values [48,49].”

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Authors
Howley, P., Donoghue, C. O., & Hynes, S.
Affiliations
  • Teagasc - The Irish Agriculture and Food Development Authority (IE)
  • Ollscoil na Gaillimhe – University of Galway (IE)
Corresponding author
Howley, Peter
Venue
Landscape and Urban Planning
Publisher
Elsevier BV
Published
2012-01
Volume
104
Issue
1
Pages
66-74
ISSN
0169-2046 (ISSN-L)
OpenAlex
W1977798744
Cited by
182
References
64
Citations by year
2026: 13 · 2025: 4 · 2024: 22 · 2023: 15 · 2022: 11 · 2021: 20 · 2020: 14 · 2019: 8 · 2018: 16 · 2017: 13 · 2016: 14 · 2015: 12 · 2014: 12 · 2013: 5 · 2012: 3
FWCI
5.15
Type
journal article
Language
en
Open access
closed
Locations
Landscape and Urban Planning (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Urban and spatial planning
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
  • Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
Keywords
public preferences, agricultural landscapes, landscape aesthetics, extensive farming, intensive agriculture, visual quality, demographic differences, landscape conservation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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