IDEAS home Printed from https://ideas.repec.org/a/taf/clarxx/v45y2020i6p777-788.html
   My bibliography  Save this article

Attention restoration theory as a framework for analysis of Tweets about urban green space: a case study

Author

Listed:
  • Stephanie Wilkie
  • Emine Thompson
  • Paul Cranner
  • Kevin Ginty

Abstract

In this study, the use of Twitter as a potential method to capture unsolicited views of urban green spaces was explored. Tweets were content analysed using attention restoration theory (ART) as the framework. Tweets about three city-centre urban green spaces in northern England were analysed for four attention restoration characteristics: being away, fascination, compatibility, and extent. Of 5,624 Tweets matching search parameters, approximately 10% were suitable for analysis after re-Tweets, advertising, and event-related matches were eliminated. Tweets most often referred to fascination or compatibility. Fewer than 5% of Tweets referred to being away and none referred to extent. Tweets associated with more biodiverse locations suggested they were also more fascinating. The thematic content in unsolicited Tweets about urban green space was consistent with characteristics central to attention restoration theory, reinforcing the positive potential of urban green spaces for attention restoration and Twitter as a potential data source.

Suggested Citation

  • Stephanie Wilkie & Emine Thompson & Paul Cranner & Kevin Ginty, 2020. "Attention restoration theory as a framework for analysis of Tweets about urban green space: a case study," Landscape Research, Taylor & Francis Journals, vol. 45(6), pages 777-788, August.
    • Handle: RePEc:taf:clarxx:v:45:y:2020:i:6:p:777-788
    DOI: 10.1080/01426397.2020.1738363
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01426397.2020.1738363
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01426397.2020.1738363?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Wan-Yu & Tsao, Chen & Lin, Chun-Cheng, 2023. "Tourists' preference for colors of forest landscapes and its implications for forest landscape planning policies," Forest Policy and Economics, Elsevier, vol. 147(C).
    2. Siyun Sun & Yingyuan Chen & Sen Mu & Bo Jiang & Yiwei Lin & Tian Gao & Ling Qiu, 2021. "The Psychological Restorative Effects of Campus Environments on College Students in the Context of the COVID-19 Pandemic: A Case Study at Northwest A&F University, Shaanxi, China," IJERPH, MDPI, vol. 18(16), pages 1-12, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:clarxx:v:45:y:2020:i:6:p:777-788. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/clar20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.