IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i9p1500-d1478915.html
   My bibliography  Save this article

Understanding How People Perceive and Interact with Public Space through Social Media Big Data: A Case Study of Xiamen, China

Author

Listed:
  • Shuran Li

    (College of Design and Innovation, Tongji University, No. 281 Fuxin Road, Yangpu District, Shanghai 200093, China)

  • Chengwei Wang

    (Future City (Shanghai) Design Consulting Co., Ltd., No. 568 Dalian Road, Yangpu District, Shanghai 200082, China)

  • Liying Rong

    (Future City (Shanghai) Design Consulting Co., Ltd., No. 568 Dalian Road, Yangpu District, Shanghai 200082, China)

  • Shiqi Zhou

    (College of Design and Innovation, Tongji University, No. 281 Fuxin Road, Yangpu District, Shanghai 200093, China)

  • Zhiqiang Wu

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200093, China)

Abstract

Public space is a crucial forum for public interaction and diverse activities among urban residents. Understanding how people interact with and perceive these spaces is essential for public placemaking. With billions of users engaging in social media expression and generating millions of data points every second, Social Media Big Data (SMBD) offers an invaluable lens for evaluating public spaces over time, surpassing traditional methods like surveys and questionnaires. This research introduces a comprehensive analytical framework that integrates SMBD with placemaking practices, specifically applied to the city of Xiamen, China. The result shows the social sentiment, vibrancy heatmaps, leisure activities, visitor behaviors, and preferred visual elements of Xiamen, offering urban designers valuable insights into the dynamic nature of citizen experiences. The findings underscore the potential of SMBD to inform and enhance public space design, providing a holistic approach to creating more inclusive, vibrant, and functional urban environments.

Suggested Citation

  • Shuran Li & Chengwei Wang & Liying Rong & Shiqi Zhou & Zhiqiang Wu, 2024. "Understanding How People Perceive and Interact with Public Space through Social Media Big Data: A Case Study of Xiamen, China," Land, MDPI, vol. 13(9), pages 1-28, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:9:p:1500-:d:1478915
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/9/1500/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/9/1500/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    2. Setha Low & Kurt Iveson, 2016. "Propositions for more just urban public spaces," City, Taylor & Francis Journals, vol. 20(1), pages 10-31, February.
    3. Matthew Carmona, 2015. "Re-theorising contemporary public space: a new narrative and a new normative," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 8(4), pages 373-405, December.
    4. Qunying Huang & David W. S. Wong, 2015. "Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(6), pages 1179-1197, November.
    5. Barbara Martini, 2016. "The Data Revolution. Big Data, Open Data, Data Infrastructures and Their Consequences," Regional Studies, Taylor & Francis Journals, vol. 50(3), pages 553-554, March.
    6. Sutian Duan & Zhiyong Shen & Xiao Luo, 2022. "Exploring the Relationship between Urban Youth Sentiment and the Built Environment Using Machine Learning and Weibo Comments," IJERPH, MDPI, vol. 19(8), pages 1-20, April.
    7. Seldjan Timur & Donald Getz, 2009. "Sustainable tourism development: how do destination stakeholders perceive sustainable urban tourism?," Sustainable Development, John Wiley & Sons, Ltd., vol. 17(4), pages 220-232.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Binni & Wang, Pong & Tu, Yiliu, 2021. "Customer satisfaction service match and service quality-based blockchain cloud manufacturing," International Journal of Production Economics, Elsevier, vol. 240(C).
    2. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    3. M. Narciso, 2022. "The Unreliability of Online Review Mechanisms," Journal of Consumer Policy, Springer, vol. 45(3), pages 349-368, September.
    4. Ian Sutherland & Youngseok Sim & Seul Ki Lee & Jaemun Byun & Kiattipoom Kiatkawsin, 2020. "Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation," Sustainability, MDPI, vol. 12(5), pages 1-15, February.
    5. Jiacong Wu & Yu Wang & Ru Zhang & Jing Cai, 2018. "An Approach to Discovering Product/Service Improvement Priorities: Using Dynamic Importance-Performance Analysis," Sustainability, MDPI, vol. 10(10), pages 1-26, October.
    6. Zuo, Wenming & Bai, Weijing & Zhu, Wenfeng & He, Xinming & Qiu, Xinxin, 2022. "Changes in service quality of sharing accommodation: Evidence from airbnb," Technology in Society, Elsevier, vol. 71(C).
    7. Tahereh Dehdarirad & Kalle Karlsson, 2021. "News media attention in Climate Action: latent topics and open access," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8109-8128, September.
    8. Shuyue Huang & Lena Jingen Liang & Hwansuk Chris Choi, 2022. "How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    9. Parvaneh Sobhani & Hassan Esmaeilzadeh & Seyed Mohammad Moein Sadeghi & Isabelle D. Wolf & Azade Deljouei, 2022. "Relationship Analysis of Local Community Participation in Sustainable Ecotourism Development in Protected Areas, Iran," Land, MDPI, vol. 11(10), pages 1-16, October.
    10. Carmela Iorio & Giuseppe Pandolfo & Antonio D’Ambrosio & Roberta Siciliano, 2020. "Mining big data in tourism," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1655-1669, December.
    11. Cucari, Nicola & Wankowicz, Ewa & Esposito De Falco, Salvatore, 2019. "Rural tourism and Albergo Diffuso: A case study for sustainable land-use planning," Land Use Policy, Elsevier, vol. 82(C), pages 105-119.
    12. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    13. Ian Sutherland & Kiattipoom Kiatkawsin, 2020. "Determinants of Guest Experience in Airbnb: A Topic Modeling Approach Using LDA," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    14. Shahabi, Cyrus & Kim, Seon Ho, 2023. "Evaluating Accessibility of Los Angeles Metropolitan Area Using Data-Driven Time-Dependent Reachability Analysis," Institute of Transportation Studies, Working Paper Series qt7pm429tk, Institute of Transportation Studies, UC Davis.
    15. Domínguez-Gómez, J. Andrés & González-Gómez, Teresa, 2017. "Analysing stakeholders’ perceptions of golf-course-based tourism: A proposal for developing sustainable tourism projects," Tourism Management, Elsevier, vol. 63(C), pages 135-143.
    16. Sunyoung Hlee & Hanna Lee & Chulmo Koo, 2018. "Hospitality and Tourism Online Review Research: A Systematic Analysis and Heuristic-Systematic Model," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
    17. Ling Lin & Tao Shu & Han Yang & Jun Wang & Jixian Zhou & Yuxuan Wang, 2023. "Consumer-Perceived Risks and Sustainable Development of China’s Online Gaming Market: Analysis Based on Social Media Comments," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
    18. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    19. Wenzhi Cao & Xingen Yang & Yi Yang, 2023. "A Large-Scale Reviews-Driven Multi-Criteria Product Ranking Approach Based on User Credibility and Division Mechanism," Mathematics, MDPI, vol. 11(13), pages 1-19, July.
    20. Igor Trišić & Donatella Privitera & Vladica Ristić & Snežana Štetić & Danka Milojković & Marija Maksin, 2023. "Protected Areas in the Function of Sustainable Tourism Development—A Case of Deliblato Sands Special Nature Reserve, Vojvodina Province," Land, MDPI, vol. 12(2), pages 1-20, February.

    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:gam:jlands:v:13:y:2024:i:9:p:1500-:d:1478915. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.