IDEAS home Printed from https://ideas.repec.org/a/taf/clarxx/v45y2020i5p627-648.html
   My bibliography  Save this article

Using social media data in understanding site-scale landscape architecture design: taking Seattle Freeway Park as an example

Author

Listed:
  • Yang Song
  • Bo Zhang

Abstract

Social media is a fast-growing area in built environment studies used to understand public opinions and landscape usage. As most literature focuses on regional topics, this paper marks a pilot effort to study site-scale issues using social media data. Taking the Seattle Freeway Park as an example, 3314 Instagram posts from 2035 users for three years (2015–2017) were mined and categorised to answer two research questions: (1) how is Seattle Freeway Park used as a public space? (2) what are the users’ emotional or affective ties to the built environment of Seattle Freeway Park? An analytic procedure for analysing and understanding site-scale crowdsourcing data was developed and introduced. The results bring new perspectives and insights about public space design by discussing the associations between park usage in terms of design features, publicity, and climate.

Suggested Citation

  • Yang Song & Bo Zhang, 2020. "Using social media data in understanding site-scale landscape architecture design: taking Seattle Freeway Park as an example," Landscape Research, Taylor & Francis Journals, vol. 45(5), pages 627-648, July.
    • Handle: RePEc:taf:clarxx:v:45:y:2020:i:5:p:627-648
    DOI: 10.1080/01426397.2020.1736994
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01426397.2020.1736994
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01426397.2020.1736994?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. KM Atikur Rahman & Md. Abu Naim Shorkar, 2021. "Analyzing Association Between Public Green Space and Self-Esteem Linked to Social Acceptance for Elderly Population in Dhaka," SAGE Open, , vol. 11(4), pages 21582440211, October.
    2. Qureshi, Salman & Tarashkar, Mahsa & Matloobi, Mansour & Wang, Zhifang & Rahimi, Akbar, 2022. "Understanding the dynamics of urban horticulture by socially-oriented practices and populace perception: Seeking future outlook through a comprehensive review," Land Use Policy, Elsevier, vol. 122(C).
    3. Yang Song & Huan Ning & Xinyue Ye & Divya Chandana & Shaohua Wang, 2022. "Analyze the usage of urban greenways through social media images and computer vision," Environment and Planning B, , vol. 49(6), pages 1682-1696, July.
    4. Chaniporn Thampanichwat & Suphat Bunyarittikit & Chumporn Moorapun & Prima Phaibulputhipong, 2023. "A Content Analysis of Architectural Atmosphere Influencing Mindfulness through the Lens of Instagram," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
    5. Yang Song & Jessica Fernandez & Tong Wang, 2020. "Understanding Perceived Site Qualities and Experiences of Urban Public Spaces: A Case Study of Social Media Reviews in Bryant Park, New York City," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    6. Bo Zhang & Yang Song & Dingyi Liu & Zhongzhong Zeng & Shuying Guo & Qiuyi Yang & Yuhan Wen & Wenji Wang & Xiwei Shen, 2023. "Descriptive and Network Post-Occupancy Evaluation of the Urban Public Space through Social Media: A Case Study of Bryant Park, NY," Land, MDPI, vol. 12(7), pages 1-17, July.
    7. Chenghao Yang & Tongtong Liu, 2022. "Social Media Data in Urban Design and Landscape Research: A Comprehensive Literature Review," Land, MDPI, vol. 11(10), pages 1-22, October.

    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:5:p:627-648. 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.