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September 10, 2025

Scenario-Based Land Use Change Prediction Using a Hybrid CA-Markov and XGBoost Model: A Case Study of Sejong City, South Korea

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Authors

JLJiwon LeeJLJun‐Hyuk LeeDWDongwook Won

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Overview

Hybrid modeling approach predicts land use changes in Sejong City, suggesting better urban growth management.

Key Points

  • The hybrid model predicts that stricter conservation policies increase forest areas while decreasing agricultural land.
  • Under the Business As Usual scenario, agricultural land faces the greatest reduction alongside limited forest expansion.
  • Utilizing LULC data from 2005 to 2020, the model employs four policy scenarios to simulate future changes.
  • The findings support Sejong City's 2040 master plan, emphasizing the need for development control to meet climate goals.

Cite This Study

Lee et al. (2025) studied this question.

synapsesocial.com/papers/68c1bd4854b1d3bfb60eeecahttps://doi.org/10.21203/rs.3.rs-7022591/v1
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