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Tweeting the High Line Life: A Social Media Lens on Urban Green Spaces

Author

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  • Jisoo Sim

    (Korea Research Institute of Human Settlement, Urban Division, Sejong-si 30147, Korea)

  • Patrick Miller

    (Landscape Architecture Program, College of Architecture and Urban Studies, Virginia Tech, Blacksburg, VA 24061, USA)

  • Samarth Swarup

    (Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA 22904, USA)

Abstract

The objective of this study is to investigate elevated parks as urban green spaces using social media data analytics. Two popular elevated parks, the High Line Park in New York and the 606 in Chicago, were selected as the study sites. Tweets mentioning the two parks were collected from 2015 to 2019. By using text mining, social media users’ sentiments and conveyed perceptions about the elevated parks were studied. In addition, users’ activities and their satisfaction were analyzed. For the 606, users mainly enjoyed the free events at the park and worried about possible increases in housing prices and taxes because of the 606. They tended to participate in physical activities such as biking and walking. Although the 606 provides scenic observation points, users did not seem to enjoy these. Regarding the High Line, users frequently mentioned New York City, which is an important aspect of the identity of the park. The High Line users also frequently mentioned arts and relaxation. Overall, this study supports the idea that social media analytics can be used to gain an understanding of the public’s use of urban green spaces and their attitudes and concerns.

Suggested Citation

  • Jisoo Sim & Patrick Miller & Samarth Swarup, 2020. "Tweeting the High Line Life: A Social Media Lens on Urban Green Spaces," Sustainability, MDPI, vol. 12(21), pages 1-18, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8895-:d:435278
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    References listed on IDEAS

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    Cited by:

    1. Siya Cheng & Ziling Huang & Haochen Pan & Shuaiqing Wang & Xiaoyu Ge, 2022. "Comparative Study of Park Evaluation Based on Text Analysis of Social Media: A Case Study of 50 Popular Parks in Beijing," Sustainability, MDPI, vol. 14(19), pages 1-34, October.
    2. Jia Tao & Meng Yang & Jing Wu, 2022. "Coupling Coordination Evaluation of Lakefront Landscape Spatial Quality and Public Sentiment," Land, MDPI, vol. 11(6), pages 1-29, June.
    3. Huilin Liang & Qi Yan & Yujia Yan & Lang Zhang & Qingping Zhang, 2022. "Spatiotemporal Study of Park Sentiments at Metropolitan Scale Using Multiple Social Media Data," Land, MDPI, vol. 11(9), pages 1-17, September.
    4. Gabriele Zabelskyte & Nadja Kabisch & Zaneta Stasiskiene, 2022. "Patterns of Urban Green Space Use Applying Social Media Data: A Systematic Literature Review," Land, MDPI, vol. 11(2), pages 1-21, February.
    5. Xiaojia Liu & Xi Chen & Yan Huang & Weihong Wang & Mingkan Zhang & Yang Jin, 2023. "Landscape Aesthetic Value of Waterfront Green Space Based on Space–Psychology–Behavior Dimension: A Case Study along Qiantang River (Hangzhou Section)," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    6. Christopher Tirri & Hunter Swanson & Mahbubur Meenar, 2021. "Finding the “Heart” in the Green: Conducting a Bibliometric Analysis to Emphasize the Need for Connecting Emotions with Biophilic Urban Planning," IJERPH, MDPI, vol. 18(18), pages 1-19, September.
    7. Dongfang Ma & Shaojie Zhang & Tieqiao Xiao & Taotao Shui, 2023. "Aspects of New and Old Urban Parks Most Valued by Residents on Social Media: A Case Study in Hefei," Sustainability, MDPI, vol. 15(18), pages 1-21, September.

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