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Big-Data-Based Text Mining and Social Network Analysis of Landscape Response to Future Environmental Change

Author

Listed:
  • Chulmin Choi

    (Graduate School of Urban Studies, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea)

  • Jooho Lee

    (Graduate School of Urban Studies, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea)

  • Jessica Machado

    (Graduate School of Urban Studies, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea)

  • Gunwoo Kim

    (Graduate School of Urban Studies, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea)

Abstract

Climate change impacts the urban environment and landscape changes worldwide. To understand how South Korean citizens perceive these changes and what they expect for the future landscape, this study analyzed urban residents’ perceptions through text mining. Data related to the keywords “future landscape”, “future environment”, “well-being”, and “climate change” were collected from July 2020 to July 2021 from the Korean search engines Naver, Daum, and Google using the tool TEXTOM. Keywords, importance, and related words were derived through word frequency, TF-IDF, and N-gram analysis. CONCOR analysis was used to derive the meaning and relevance of the words. In “future landscape”, results showed a high frequency of the words “complex”, “apartment”, “future value”, and “sale”, and the connection strength was higher between “complex”, “landscape”, and “future value”. In “future environment”, “eco-friendly” showed the highest word frequency, and the words “New Deal”, “hydrogen” and “mobility” showed a high frequency and correlation. For “well-being”, “Green Cross” (a well-being-related company) showed the highest frequency, and the connection strength between satisfaction indexes was high. For “climate change”, “response” showed the highest frequency, and the connection strength between “carbon-neutral”, “UN-convention”, and “plan-establishment” was high. These results showed that South Koreans associate landscaping with the value of apartment complexes, that they expect solutions to mitigate climate change impacts with green and eco-friendly strategies, and lastly that well-being-related companies are receiving a great deal of public attention. Thus, it is expected that the results will help plan effective landscaping approaches to respond to environmental changes.

Suggested Citation

  • Chulmin Choi & Jooho Lee & Jessica Machado & Gunwoo Kim, 2022. "Big-Data-Based Text Mining and Social Network Analysis of Landscape Response to Future Environmental Change," Land, MDPI, vol. 11(12), pages 1-21, December.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2183-:d:990695
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    References listed on IDEAS

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    1. Jongwook Tae & Daeyoung Jeong & Jinhyung Chon, 2022. "How Can Apartment-Complex Landscaping Space Improve Residents’ Psychological Well-Being?: The Case of the Capital Region in South Korea," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    2. Mehdi Rezaei & Doohwan Kim & Ahad Alizadeh & Ladan Rokni, 2021. "Evaluating the Mental-Health Positive Impacts of Agritourism; A Case Study from South Korea," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    3. So-Hee Park & Chuyoun Chang, 2022. "Impact of Changes in Forest Use Caused by the COVID-19 Pandemic on the Perception of Forest Ecosystem Services in the Republic of Korea," Sustainability, MDPI, vol. 14(17), pages 1-19, September.
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