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http://dx.doi.org/10.9715/KILA.2022.50.5.030

The Distribution and Characteristics of Protected Areas and Natural Resources in the Metropolitan Area in Blog Posts  

Lee, Sung-Hee (Interdisciplinary Program in Landscape Architecture, Seoul National University)
Son, Yong-Hoon (Graduate School of Environment Studies, Seoul National University)
Publication Information
Journal of the Korean Institute of Landscape Architecture / v.50, no.5, 2022 , pp. 30-39 More about this Journal
Abstract
This study aimed to evaluate the awareness of conservation areas and green resources and analyze their characteristics by utilizing accumulated blog data created for specific places and objects. Among all the conservation areas and resources located in the Seoul metropolitan area, places that can be evaluated were classified, and sites were evaluated by dividing them into ten categories based on the number of blog posts written. As a result of the study, the users' awareness of forests was the highest, and the awareness of conservation areas and green resources was higher in urban areas than suburban areas. The result shows that the conservation areas and green resources located around the metropolitan area serve as natural tourist destinations while being the object of conservation for users. In addition, these results are in the same vein as the research results in domestic and foreign studies on the importance of ecosystem services in urban areas. Unlike existing research methods, this study is meaningful in that it identified the level of user awareness through social media analysis and applied it to evaluating conservation areas and green resources. It can be used as basic data to prepare a management plan considering public interest and awareness or to establish a development plan to increase awareness. In addition, the cumulative amount of blog content used in the study is meaningful in that it can identify and monitor users' interest in the space. However, it was not possible to examine the contents of each blog in detail because it was evaluated based on the amount of social media content. In addition, in the case of conservation areas and green resources, it is necessary to review and supplement the evaluation contents by adding keyword analysis and content analysis for the site to be evaluated as content other than the pure viewpoint of users may be mixed with development issues.
Keywords
Social Media; Green Resources; Cognitive Evaluation; User Perception; Monitoring;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Hausmann, A., T. Toivonen, V. Heikinheimo, H. Tenkanen, R. Slotow and E. Di Minin(2017) Social media reveal that charismatic species are not the main attractor of ecotourists to sub-Saharan protected areas. Scientific Reports 7(1): 1-9.   DOI
2 Bates, L. J. and R. E. Santerre(2001) The public demand for open space: The case of Connecticut communities. Journal of Urban Economics 50(1): 97-111.   DOI
3 Donahue, M. L., B. L. Keeler, S. A. Wood, D. M. Fisher, Z. A. Hamstead and T. McPhearson(2018) Using social media to understand drivers of urban park visitation in the Twin Cities, MN. Landscape and Urban Planning 175: 1-10.   DOI
4 Bennett, N. J., R. Roth, S. C. Klain, K. Chan, P. Christie, D. A. Clark, G. Cullman, D. Curran, T. J. Durbin, G. Epstein, A. Greenberg, M. P. Nelson, J. Sandlos, R. Stedman, T. L. Teel, R. Thomas, D. Verissimo and C. Wyborn(2017) Conservation social science: Understanding and integrating human dimensions to improve conservation. Biological Conservation 205: 93-108.   DOI
5 Cheng, X., S. Van Damme, L. Li and P. Uyttenhove(2019) Evaluation of cultural ecosystem services: A review of methods. Ecosystem Services 37: 100925.   DOI
6 Dunkel, A.(2015) Visualizing the perceived environment using crowdsourced photo geodata. Landscape and Urban Planning 142: 173-186.   DOI
7 Fisher, D. M., S. A. Wood, E. M. White, D. J. Blahna, S. Lange, A. Weinberg, M. Tomco and E. Lia(2018) Recreational use in dispersed public lands measured using social media data and on-site counts. Journal of Environmental Management 222: 465-474.
8 Gosal, A. S., I. R. Geijzendorffer, T. Vaclavik, B. Poulin and G. Ziv(2019) Using social media, machine learning and natural language processing to map multiple recreational beneficiaries. Ecosystem Services 38: 100958.   DOI
9 Guler, C., G. D. Thyne, J. E. McCray and K. A. Turner(2002) Evaluation of graphical and multivariate statistical methods for classification of water chemistry data. Hydrogeology Journal 10(4): 455-474.   DOI
10 Knoke, T., M. Kindu, T. Schneider and T. Gobakken(2021) Inventory of forest attributes to support the integration of non-provisioning ecosystem services and biodiversity into forest planning-from collecting data to providing information. Current Forestry Reports 7(1): 38-58.   DOI
11 Lee, S. H. and Y. H. Son(2021) Evaluation of preference by Bukhansan Dulegil course using sentiment analysis of blog data. Journal of the Korean Institute of Landscape Architecture 49(3): 1-10.
12 Schirpke, U., E. Tasser, M. Ebner and U. Tappeiner(2021) What can geotagged photographs tell us about cultural ecosystem services of lakes? Ecosystem Services 51: 101354.   DOI
13 Millennium Ecosystem Assessment, M. E. A.(2005) Ecosystems and Human Well-Being. Washington, DC: Island press.
14 Plieninger, T., C. Bieling, N. Fagerholm, A. Byg, T. Hartel, P. Hurley, C. A. Lopez-Santiago, N. Nagabhatla, E. Oteros-Rozas, C. M. Raymond, D. van der Horst and L. Huntsinger(2015) The role of cultural ecosystem services in landscape management and planning. Current Opinion in Environmental Sustainability 14: 28-33.   DOI
15 Kim, J. Y. and Y. H. Son(2021) Assessing and mapping cultural ecosystem services of an urban forest based on narratives from blog posts. Ecological Indicators 129: 107983.   DOI
16 Sonter, L. J., K. B. Watson, S. A. Wood and T. H. Ricketts(2016) Spatial and temporal dynamics and value of nature-based recreation, estimated via social media. PLOS one 11(9): e0162372.   DOI
17 Tajima, K.(2003) New estimates of the demand for urban green space: Implications for valuing the environmental benefits of Boston's big dig project. Journal of Urban Affairs 25(5): 641-655.   DOI
18 Van Zanten, B. T., D. B. van Berkel, R. K. Meentemeyer, J. W. Smith, K. F. Tieskens and P. H. Verburg(2016) Continental scale quantification of landscape values using social media data. Proceedings of the National Academy of Sciences of the United States of America 113(46): 12974-12979.   DOI
19 Wang, H., X. W. Jiang, L. Wan, G. Han and H. Guo(2015) Hydrogeochemical characterization of groundwater flow systems in the discharge area of a river basin. Journal of Hydrology 527: 433-441.   DOI
20 Wood, S. A., S. G. Winder, E. H. Lia, E. M. White, C. S. L. Crowley and A. A. Milnor(2020) Next-generation visitation models using social media to estimate recreation on public lands. Scientific Reports 10(1): 1-12.   DOI
21 Yu, G., X. Zheng, J. Zhu, Q. Zhang, W. Bao and Z. Xie(2019) Forest Ecosystem Processes and Changes. Higher Education Press, Beijing, China.
22 Zheng, S., Y. Fu and H. Liu(2009) Demand for urban quality of living in China: Evolution in compensating land-rent and wage-rate differentials. The Journal of Real Estate Finance and Economics 38(3): 194-213.   DOI
23 Zhang, K., Y. Chen and C. Li(2019) Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing. Tourism Management 75: 595-608.   DOI
24 Digital times. http://www.dt.co.kr/contents.html?article_no=2022012302109970821001&ref=naver, 2022.07.25.
25 Waldron, A., A. O. Mooers, D. C. Miller, N. Nibbelink, D. Redding, T. S. Kuhn, J. T. Roberts and J. L. Gittleman(2013) Targeting global conservation funding to limit immediate biodiversity declines. Proceedings of the National Academy of Sciences 110(29): 12144-12148.   DOI
26 Toivonen, T., V. Heikinheimo, C. Fink, A. Hausmann, T. Hiippala, O. Jarv and E. Di Minin(2019) Social media data for conservation science: A methodological overview. Biological Conservation 233: 298-315.   DOI
27 Lee, S. H. and Y. H. Son(2018) Identifying landscape perceptions of visitors' to the Taean coast national park using social media data: Focused on Kkotji Beach, Sinduri coastal sand dune, and Manlipo beach. Journal of the Korean Institute of Landscape Architecture 46(5): 10-21.   DOI
28 Plieninger, T., S. Dijks, E. Oteros-Rozas and C. Bieling(2013) Assessing, mapping, and quantifying cultural ecosystem services at community level. Land Use Policy 33: 118-129.   DOI
29 Sinclair, M., M. Mayer, M. Woltering and A. Ghermandi(2020) Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks. Journal of Environmental Management 263: 110418.
30 Food and Agriculture Organization of the United Nations, F. A. O.(2020) The State of World's Forests: Forest, Biodiversity and People. http://www.fao.org/publications/sofo/en/
31 Tenerelli, P., U. Demsar and S. Luque(2016) Crowdsourcing indicators for cultural ecosystem services: A geographically weighted approach for mountain landscapes. Ecological Indicators 64: 237-248.   DOI
32 Ghermandi, A. and M. Sinclair(2019) Passive crowdsourcing of social media in environmental research: A systematic map. Global Environmental Change 55: 36-47.   DOI