IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i11p1983-d1268677.html
   My bibliography  Save this article

Finding Sprawl Factors and Pirate Development: Based on Spatial Analysis of Population Grid Changes from 2014 to 2022 in SMA, South Korea

Author

Listed:
  • Jaebin Lim

    (Graduate School of National Public Policy, Chungnam National University, Daejeon 34134, Republic of Korea)

  • Myounggu Kang

    (Department of Urban Planning and Design, University of Seoul, Seoul 02504, Republic of Korea)

Abstract

This comprehensive study explores urban sprawl in the Seoul Metropolitan Area (SMA), emphasizing its rising intensity and complexity despite previous public-led planning efforts. The study aims to visualize the spatial patterns of sprawl and identify influencing factors through spatial regression analysis using grid-based population data created from actual population distributions. This approach fills a gap in the existing literature by moving beyond administrative-level analyses prone to ecological fallacies. This study scrutinizes the dynamics of population change in Seoul Metropolitan Areas (SMAs) in Korea over a decade, focusing on the predatory aspect of urban sprawl. Using grid-based population data and spatial regression analysis, the study finds that population growth is concentrated in unplanned areas with high development benefits. Three key hypotheses were examined: (1) Areas with high development potential, measured through factors like land prices and development plans, attract predatory development; (2) Improved transportation infrastructure encourages population inflow; (3) Non-urban land use, especially bare land, attracts population growth. The results offer important policy implications, particularly for preparing areas with low land prices and improving transportation infrastructures for future population influxes. Monitoring is particularly crucial in areas where development plans are already in place or where there is a high percentage of bare land.

Suggested Citation

  • Jaebin Lim & Myounggu Kang, 2023. "Finding Sprawl Factors and Pirate Development: Based on Spatial Analysis of Population Grid Changes from 2014 to 2022 in SMA, South Korea," Land, MDPI, vol. 12(11), pages 1-18, October.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:11:p:1983-:d:1268677
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/11/1983/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/11/1983/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qiangyi Li & Lan Yang & Shuang Huang & Yangqing Liu & Chenyang Guo, 2023. "The Effects of Urban Sprawl on Electricity Consumption: Empirical Evidence from 283 Prefecture-Level Cities in China," Land, MDPI, vol. 12(8), pages 1-27, August.
    2. Jan K. Brueckner, 2000. "Urban Sprawl: Diagnosis and Remedies," International Regional Science Review, , vol. 23(2), pages 160-171, April.
    3. Heng Sun & Wayne Forsythe & Nigel Waters, 2007. "Modeling Urban Land Use Change and Urban Sprawl: Calgary, Alberta, Canada," Networks and Spatial Economics, Springer, vol. 7(4), pages 353-376, December.
    4. Qing Su & Joseph S. DeSalvo, 2008. "The Effect Of Transportation Subsidies On Urban Sprawl," Journal of Regional Science, Wiley Blackwell, vol. 48(3), pages 567-594, August.
    5. William P. Anderson & Pavlos S. Kanaroglou & Eric J. Miller, 1996. "Urban Form, Energy and the Environment: A Review of Issues, Evidence and Policy," Urban Studies, Urban Studies Journal Limited, vol. 33(1), pages 7-35, February.
    6. Camagni, Roberto & Gibelli, Maria Cristina & Rigamonti, Paolo, 2002. "Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion," Ecological Economics, Elsevier, vol. 40(2), pages 199-216, February.
    7. Jeon, Jae Sik, 2019. "How housing market responds to greenbelt relaxation: Case of Seoul Metropolitan Area, South Korea," Land Use Policy, Elsevier, vol. 84(C), pages 328-334.
    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. Yanchun Yi & Sisi Ma & Weijun Guan & Ke Li, 2017. "An Empirical Study on the Relationship between Urban Spatial Form and CO 2 in Chinese Cities," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    2. Marin Geshkov, 2015. "Urban Sprawl in Eastern Europe. The Sofia City Example," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 101-116, April.
    3. Andrea CIRILLI & Paolo VENERI, 2010. "Spatial Structure and CO2 Emissions Due to Commuting: an Analysis on Italian Urban Areas," Working Papers 353, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Benedetto Manganelli & Beniamino Murgante & Lucia Saganeiti, 2020. "The Social Cost of Urban Sprinkling," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    5. Davide Burgalassi & Tommaso Luzzati, 2015. "Urban spatial structure and environmental emissions: a survey of the literature and some empirical evidence for Italian NUTS-3 regions," Discussion Papers 2015/199, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    6. Clune, Stephen & Morrissey, John & Moore, Trivess, 2012. "Size matters: House size and thermal efficiency as policy strategies to reduce net emissions of new developments," Energy Policy, Elsevier, vol. 48(C), pages 657-667.
    7. Hirte, Georg & Tscharaktschiew, Stefan, 2013. "Income tax deduction of commuting expenses in an urban CGE study: The case of German cities," Transport Policy, Elsevier, vol. 28(C), pages 11-27.
    8. Huan Zhang, 2021. "The Impact of Urban Sprawl on Environmental Pollution: Empirical Analysis from Large and Medium-Sized Cities of China," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
    9. Fang, Chuanglin & Wang, Shaojian & Li, Guangdong, 2015. "Changing urban forms and carbon dioxide emissions in China: A case study of 30 provincial capital cities," Applied Energy, Elsevier, vol. 158(C), pages 519-531.
    10. Deslatte, Aaron & Scott, Tyler A. & Carter, David P., 2019. "Specialized governance and regional land-use outcomes: A spatial analysis of Florida community development districts," Land Use Policy, Elsevier, vol. 83(C), pages 227-239.
    11. Ermini, Barbara & Santolini, Raffaella, 2015. "Differentiated property tax and urban sprawl in Italian urbanized areas," MPRA Paper 65460, University Library of Munich, Germany.
    12. Peter Newman, 2014. "Density, the Sustainability Multiplier: Some Myths and Truths with Application to Perth, Australia," Sustainability, MDPI, vol. 6(9), pages 1-21, September.
    13. Amponsah, Owusu & Blija, Daniel Kwame & Ayambire, Raphael Anammasiya & Takyi, Stephen Appiah & Mensah, Henry & Braimah, Imoro, 2022. "Global urban sprawl containment strategies and their implications for rapidly urbanising cities in Ghana," Land Use Policy, Elsevier, vol. 114(C).
    14. Lucia Saganeiti & Antonella Favale & Angela Pilogallo & Francesco Scorza & Beniamino Murgante, 2018. "Assessing Urban Fragmentation at Regional Scale Using Sprinkling Indexes," Sustainability, MDPI, vol. 10(9), pages 1-23, September.
    15. Fernando Rubiera-Morollón & Ruben Garrido-Yserte, 2020. "Recent Literature about Urban Sprawl: A Renewed Relevance of the Phenomenon from the Perspective of Environmental Sustainability," Sustainability, MDPI, vol. 12(16), pages 1-14, August.
    16. Burak Güneralp & Michael K Reilly & Karen C Seto, 2012. "Capturing Multiscalar Feedbacks in Urban Land Change: A Coupled System Dynamics Spatial Logistic Approach," Environment and Planning B, , vol. 39(5), pages 858-879, October.
    17. Tscharaktschiew, Stefan & Hirte, Georg, 2012. "Should subsidies to urban passenger transport be increased? A spatial CGE analysis for a German metropolitan area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 285-309.
    18. Clark, Thomas A., 2013. "Metropolitan density, energy efficiency and carbon emissions: Multi-attribute tradeoffs and their policy implications," Energy Policy, Elsevier, vol. 53(C), pages 413-428.
    19. Yuxiang Zhang & Dongjie Guan & Xiujuan He & Boling Yin, 2022. "Simulation on the Evolution Trend of the Urban Sprawl Spatial Pattern in the Upper Reaches of the Yangtze River, China," IJERPH, MDPI, vol. 19(15), pages 1-21, July.
    20. Fabio Borghetti & Cristian Giovanni Colombo & Michela Longo & Renato Mazzoncini & Leonardo Cesarini & Luigi Contestabile & Claudio Somaschini, 2021. "15-Min Station: A Case Study in North Italy City to Evaluate the Livability of an Area," Sustainability, MDPI, vol. 13(18), pages 1-18, September.

    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:12:y:2023:i:11:p:1983-:d:1268677. 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.