Finding Sprawl Factors and Pirate Development: Based on Spatial Analysis of Population Grid Changes from 2014 to 2022 in SMA, South Korea
Name
land-12-01983.pdf
Size
2.8 MB
Format
Adobe PDF
Checksum (MD5)
1373b1d4542d8ddd713dae0f221d7a5d
Author(s)
Lim, Jaebin
Kang, Myounggu
Date Issued
October 27, 2023
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Land 12 (11): 1983 (2023)
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/land12111983
