| Title |
Quantitative Model Development for Verifying a Common Structure among Built Environment · Economy · Population of Korean Administrative Entities |
| Authors |
오정석(Oh, Jung-Seuk) ; 서현(Seo, Hyun) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.1.255 |
| Keywords |
Common Structure; Urban Scale; Computational Modeling; Multi-variable Function; Administrative Entity; Self-similarity |
| Abstract |
Cities as complex systems have long been considered difficult to predict quantitatively. To address this challenge, it is necessary to explore
quantitative and common rules that describe urban systems. Cities have various measurable indicators of scale such as production, population,
and area. Many of these exhibit correlations. This study selects and integrates some of these correlations to derive a single mathematical
function that explains urban systems. As a result, a computational model was developed to explain the interdependent relationships among
four indicators: workforce, total production, service sector workforce, and built area. The model takes the form of a single function and
demonstrates high explanatory power. It shows an average error within 10,000 people for the dependent variable across all 244 Korean urban
entities. This consistent applicability provides empirical evidence of urban self-similarity. Alongside theoretical validation, this model also
works as a quantitative analytical tool for urban management and policy evaluation. |