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http://dx.doi.org/10.7848/ksgpc.2022.40.4.261

A Study on Prediction of Land Use Demand in Seongnam-city Using System Dynamics  

Yi, Mi Sook (Dept. of Urban Information Engineering, Anyang University)
Shin, Dong Bin (Dept. of Urban Information Engineering, Anyang University)
Kim, Chang Hoon (Dept. of Industrial Engineering, Hanyang University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.40, no.4, 2022 , pp. 261-273 More about this Journal
Abstract
This study aims to predict the land use demand of Seongnam-city using system dynamics and to simulate the effect of changes in family structure and land use density adjustment policy on land use demand. This study attempted to construct causal loop diagrams and an analysis model. The changes in land use demand over time were predicted through simulation results. As a result of the analysis, as of 2035, an additional supply of 2.08 km2 for residential land and 1.36 km2 for commercial land is required. Additionally, the current supply area of industrial land can meet the demand. Three policy experiments were conducted by changing the variable values in the basic model. In the first policy experiment, it was found that when the number of household members decreased sharply compared to the basic model, up to 7.99 km2 of additional residential land were required. In the second policy experiment, if the apartment floor area ratio was raised from 200% to 300%, it was possible to meet the demand for residential land with the current supply area of Seongnam-city. In the third policy experiment, it was found that even if the average number of floors in the commercial area was raised from four to five and the building-to-land ratio in the commercial area was raised from 80% to 85%, the demand for commercial land exceeded the supply area of the commercial area in Seongnam-city. This study is meaningful in that it proposes a new analytical model for land use demand prediction using system dynamics, and empirically analyzes the model by applying the actual urban planning status and statistics of Seongnam-city.
Keywords
Land Use Demand; Demand Forecasting; System Dynamics; Policy Experiment;
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Times Cited By KSCI : 1  (Citation Analysis)
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