IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i10p3500-d172866.html

Spatial Pattern and Factor Analyses for Forest Sustainable Development Goals within South Korea’s Civilian Control Zone

Author

Listed:
  • Jinwoo Park

    (Inter-Korean Forest Research Team, Division of Global Forestry, National Institute of Forest Science, Seoul 02455, Korea)

  • Jungsoo Lee

    (Department of Forest Management, Division of Forest Sciences, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon 24341, Korea)

Abstract

The United Nations’ Sustainable Development Goals (SDGs) offer specific guidelines for improving sustainable forest management, especially Goal 15. Goal 15 protects, restores and promotes the sustainable use of land ecosystems, manages forests sustainably, prevents was against desertification, stops and reverses land degradation and prevents biodiversity loss. The Civilian Control Zone (CCZ) south of the Demilitarized Zone (DMZ) separating North and South Korea has functioned as a unique biological preserve due to traditional restrictions on human use but is now increasingly threatened by deforestation and development. We used hot spot analysis and structural equation modeling (SEM) to analyze spatial patterns of forest land use and land cover (LULC) change and variables influencing these changes, within the CCZ. Remote sensing imagery was used to develop land cover classification maps (2010 and 2016) and a GIS database was established for three change factors (topography, accessibility and socioeconomic characteristics). As a result of Hotspot analysis, Hotspots of change were distributed mainly due to agricultural activities and the development of forest and expansion of villages. Subsequent factor analysis revealed that accessibility had greater influence (−0.635) than the other factors. Among the direct factors, change to bare land had the greatest impact (−0.574) on forest change. These results shed light on forest change patterns and causes in the CCZ and provide practical data for efficient forest management in this area with regards to the SDGs.

Suggested Citation

  • Jinwoo Park & Jungsoo Lee, 2018. "Spatial Pattern and Factor Analyses for Forest Sustainable Development Goals within South Korea’s Civilian Control Zone," Sustainability, MDPI, vol. 10(10), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3500-:d:172866
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/10/3500/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/10/3500/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Veronique Van Acker & Frank Witlox & Bert Van Wee, 2007. "The Effects of the Land Use System on Travel Behavior: A Structural Equation Modeling Approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 30(4), pages 331-353, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Osman, Ibrahim H. & Zablith, Fouad, 2021. "Re-evaluating electronic government development index to monitor the transformation toward achieving sustainable development goals," Journal of Business Research, Elsevier, vol. 131(C), pages 426-440.
    2. Hao Liu & Lin Ma, 2020. "Spatial Pattern and Effects of Urban Coordinated Development in China’s Urbanization," Sustainability, MDPI, vol. 12(6), pages 1-16, March.

    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. Najaf, Pooya & Thill, Jean-Claude & Zhang, Wenjia & Fields, Milton Greg, 2018. "City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 257-270.
    2. Zwerts, Enid & Allaert, Georges & Janssens, Davy & Wets, Geert & Witlox, Frank, 2010. "How children view their travel behaviour: a case study from Flanders (Belgium)," Journal of Transport Geography, Elsevier, vol. 18(6), pages 702-710.
    3. Md. Mokhlesur Rahman & Jean-Claude Thill, 2026. "Who is inclined to buy an autonomous vehicle? Empirical evidence from California," Transportation, Springer, vol. 53(1), pages 71-104, February.
    4. Kroesen, Maarten & van Wee, Bert, 2022. "Understanding how accessibility influences health via active travel: Results from a structural equation model," Journal of Transport Geography, Elsevier, vol. 102(C).
    5. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    6. Silva-C, Alejandro & Montoya R, Iván A. & Valencia A, Jhoany A., 2019. "The attitude of managers toward telework, why is it so difficult to adopt it in organizations?," Technology in Society, Elsevier, vol. 59(C).
    7. Kristina M. Currans & Gabriella Abou-Zeid & Chris McCahill & Nicole Iroz-Elardo & Kelly J. Clifton & Susan Handy & Irene Pineda, 2023. "Households with constrained off-street parking drive fewer miles," Transportation, Springer, vol. 50(6), pages 2227-2252, December.
    8. Laura Eboli & Carmen Forciniti & Gabriella Mazzulla, 2018. "Formative and reflective measurement models for analysing transit service quality," Public Transport, Springer, vol. 10(1), pages 107-127, May.
    9. Donggen Wang & Tao Lin, 2019. "Built environment, travel behavior, and residential self-selection: a study based on panel data from Beijing, China," Transportation, Springer, vol. 46(1), pages 51-74, February.
    10. Pitombo, C.S. & Kawamoto, E. & Sousa, A.J., 2011. "An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns," Transport Policy, Elsevier, vol. 18(2), pages 347-357, March.
    11. Saadi, Ismaïl & Boussauw, Kobe & Teller, Jacques & Cools, Mario, 2016. "Trends in regional jobs-housing proximity based on the minimum commute: The case of Belgium," Journal of Transport Geography, Elsevier, vol. 57(C), pages 171-183.
    12. Veronique Acker & Frank Witlox, 2011. "Commuting trips within tours: how is commuting related to land use?," Transportation, Springer, vol. 38(3), pages 465-486, May.
    13. Wang, Bobin & Shao, Chunfu & Ji, Xun, 2017. "Dynamic analysis of holiday travel behaviour with integrated multimodal travel information usage: A life-oriented approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 255-280.
    14. Tae-Hyoung Tommy Gim, 2016. "Testing the Reciprocal Relationship between Attitudes and Land Use in Relation to Trip Frequencies," International Regional Science Review, , vol. 39(2), pages 203-227, April.
    15. Miller, Harvey J. & Witlox, Frank & Tribby, Calvin P., 2013. "Developing context-sensitive livability indicators for transportation planning: a measurement framework," Journal of Transport Geography, Elsevier, vol. 26(C), pages 51-64.
    16. Gi-Hyoug Cho & Daniel Rodriguez, 2015. "Location or design? Associations between neighbourhood location, built environment and walking," Urban Studies, Urban Studies Journal Limited, vol. 52(8), pages 1434-1453, June.
    17. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2019. "A Study of Tourists’ Holiday Rush-Hour Avoidance Travel Behavior Considering Psychographic Segmentation," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
    18. Shang-Yu Chen & Chung-Cheng Lu, 2016. "A Model of Green Acceptance and Intentions to Use Bike-Sharing: YouBike Users in Taiwan," Networks and Spatial Economics, Springer, vol. 16(4), pages 1103-1124, December.
    19. Maheshwari, Richa & Van Acker, Veronique & Gerber, Philippe, 2024. "Commuting vs teleworking: How does it impact the relationship between commuting satisfaction and subjective well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    20. Bowen Zhou & Jieling Jin & Helai Huang & Yuanchang Deng, 2023. "Exploring the Macro Economic and Transport Influencing Factors of Urban Public Transport Mode Share: A Bayesian Structural Equation Model Approach," Sustainability, MDPI, vol. 15(3), pages 1-11, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:10:y:2018:i:10:p:3500-:d:172866. 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.