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Understanding why peri-urban residents do not report wild dog impacts

An audience segmentation approach

Bibliographic Data

ID15326799
AuthorsDonald W Hine (0000-0002-3905-7026, University of Canterbury), Lynette J Mcleod (0000-0001-9408-3342, University of New England, corresponding author), Patricia M Please (0000-0003-1618-6682, Cleveland, Australia)
Year2020
Volume25
Issue4
Pages355-371
Publication date2020-03-01
Open AccessNo
TypeARTICLE
VenueHuman Dimensions of Wildlife (JOURNAL)
Journal identifiersISSN: 1087-1209 • E-ISSN: 1533-158X
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/10871209.2020.1735579
OpenAlexW3009875762
LanguageEN
Citations received1
References cited33

Peri-urban populations are diverse, with residents possessing a broad range of values, knowledge and skills related to managing invasive pests. In this article, we employed the COM-B behavior change model and audience segmentation analysis to identify the main barriers that prevent Gold Coast peri-urban residents from reporting wild dog impacts to local government. Participants (n = 383) responded to a random digit dial phone survey that assessed their capability, opportunity and motivation to report wild dogs and their impacts to local government. Audience segmentation analysis identified two types of non-reporters: (a) Reluctant – perceived no benefits of reporting, it took too much effort, and believed dogs should be left alone – and (b) Receptive – acknowledged wild dogs were a threat and understood the benefits of reporting. We describe how segmentation analysis can be used to develop interventions specifically tailored to the needs of each type of non-reporter

Business · Geography · Government (linguistics · Market segmentation · Phone · Psychological intervention · Segmentation · Animal and Plant Science Education · Computer Science · Human-Animal Interaction Studies · Medicine · Nursing · Psychology · Wildlife Ecology and Conservation · Marketing

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Citations per year0.2
Citation span2021 - 2021 (1)
Highly citedNo

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