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Understanding Perceived Site Qualities and Experiences of Urban Public Spaces: A Case Study of Social Media Reviews in Bryant Park, New York City

Author

Listed:
  • Yang Song

    (Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77840, USA)

  • Jessica Fernandez

    (College of Environment + Design, University of Georgia, Athens, GA 30602, USA)

  • Tong Wang

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Urban public spaces are a key component to the well-being and prosperity of modern society. It has been increasingly important to improve the qualities and maximize the usages of urban public spaces. There is a lack of studies that investigate how people use and perceive urban parks using quantitative analysis of location-based social media reviews. This study tackles this gap by introducing a case study that uses social media reviews (Tripadivisor.com) to understand the perceived site quality and experiences of Bryant Park in New York City. A large dataset including 11,419 Tripadvisor reviews from 10,615 users was collected. LDA (Latent Dirichlet Allocation), a natural language processing and machine learning technique, was used to perform topic modeling analysis that could reveal hidden themes in large amounts of text. The results include five semantic topics and their associated topic terms. A comprehensive overview of the user experiences in Bryant Park were provided along with their weekly and monthly dynamics. The findings provide insights for future public space designers and managers by revealing how users describe the designs and operations of Bryant Park.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8036-:d:421338
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    References listed on IDEAS

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    5. Votsis, Athanasios, 2017. "Planning for green infrastructure: The spatial effects of parks, forests, and fields on Helsinki's apartment prices," Ecological Economics, Elsevier, vol. 132(C), pages 279-289.
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    Cited by:

    1. Raluca Ignat & Marius Constantin, 2020. "Multidimensional Facets of Entrepreneurial Resilience during the COVID-19 Crisis through the Lens of the Wealthiest Romanian Counties," Sustainability, MDPI, vol. 12(23), pages 1-29, December.
    2. 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.
    3. 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).
    4. Hongxu Guo & Zhuoqiao Luo & Mengtian Li & Shumin Kong & Haiyan Jiang, 2022. "A Literature Review of Big Data-Based Urban Park Research in Visitor Dimension," Land, MDPI, vol. 11(6), pages 1-17, June.
    5. 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.
    6. Jessica Fernandez & Yang Song & Shirin Rezaeimalek & Katherine Melcher & Donnie Longnecker, 2023. "Exploring rural community place assessment through mobility and social media data in Fort Gaines, Georgia," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(2), pages 425-446, April.

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