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Mapping Environmental Conflicts Using Spatial Text Mining

Author

Listed:
  • Jae-hyuck Lee

    (Korea Environment Institute, Sejong 30147, Korea)

  • Do-kyun Kim

    (Korea Environment Institute, Sejong 30147, Korea)

Abstract

Mapping the characteristics and extent of environmental conflicts related to land use is important for developing regionally specific policies. However, because it is only possible to verify the frequency of conflicts on a specific predetermined subject, it is difficult to determine the various reasons for conflicts in a region. Therefore, this study mapped the current status of regional environmental conflicts in South Korea using a spatial text mining technique, then proposed relevant management policies. The results were obtained by analyzing environmental conflict data extracted from the online agendas of regional environmental organizations. Air quality-related conflicts in South Korea are concentrated in western municipalities; development-related conflicts are concentrated in the southern region of Jeju Island; and intensive safety-related conflicts occur in metropolitan areas, particularly Ulsan. Thus, the type of conflict is determined by the local environment, in accordance with the definition of environmental conflict, and the distribution is determined by the location of the stakeholder population. This study reveals the issues and locations related to local environmental conflict that require further attention, and proposes more wide-ranging methods for managing the links between conflicts by mapping environmental conflicts on a large scale rather than on an individual basis.

Suggested Citation

  • Jae-hyuck Lee & Do-kyun Kim, 2020. "Mapping Environmental Conflicts Using Spatial Text Mining," Land, MDPI, vol. 9(9), pages 1-9, August.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:9:p:287-:d:402153
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    References listed on IDEAS

    as
    1. Lee, Cha-Hee, 2020. "Understanding rural landscape for better resident-led management: Residents’ perceptions on rural landscape as everyday landscapes," Land Use Policy, Elsevier, vol. 94(C).
    2. Jae-hyuck Lee & HaeOk Choi, 2020. "An Analysis of Public Complaints to Evaluate Ecosystem Services," Land, MDPI, vol. 9(3), pages 1-11, February.
    3. Yvette Taminiau & Julie Ferguson & Christine Moser, 2016. "Instrumental client relationship development among top-ranking service professionals," The Service Industries Journal, Taylor & Francis Journals, vol. 36(15-16), pages 789-808, December.
    4. Phattraporn Soytong & Ranjith Perera, 2014. "Use of GIS Tools for Environmental Conflict Resolution at Map Ta Phut Industrial Zone in Thailand," Sustainability, MDPI, vol. 6(5), pages 1-24, April.
    5. Phattraporn Soytong & Ranjith Perera, 2017. "Spatial analysis of the environmental conflict between state, society and industry at the Map Ta Phut-Rayong conurbation in Thailand," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 839-862, June.
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    Cited by:

    1. Danuta Piróg & Joanna Fidelus-Orzechowska & Łukasz Wiejaczka, 2022. "Local Authority vs Community Visions of Dam Project Land Development: a Text Mining Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 1833-1848, April.
    2. Uchendu Eugene Chigbu, 2020. "Land, Women, Youths, and Land Tools or Methods: Emerging Lessons for Governance and Policy," Land, MDPI, vol. 9(12), pages 1-6, December.
    3. Konstantinos G. Papaspyropoulos & Harikleia Liakou & Panayotis Dimopoulos, 2023. "Climate Change in the Biodiversity and Forest Strategies in Greece Using Discourse Analysis and Text Mining: Is an Integration into a Cost-Efficient Natural Resources Policy Feasible?," Sustainability, MDPI, vol. 15(7), pages 1-12, April.

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