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Modeling the United Oscillation and Wave of economic policy and urban planning employing spatial population dynamics

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  • Junghun Yang
  • Woorim Ko
  • Youngtae Cho

Abstract

Modern urban dynamics are increasingly shaped by the interplay between economic policy and urban planning, yet often lack an integrated approach. This study bridges this gap by examining the dynamic equilibrium between these two realms using the “Oscillation and Wave Framework.” Specifically, we focus on the impact of variations in congestion parameter λ on urban sectoral spatial distribution and population dynamics. Our approach utilizes an advanced agent-based model to simulate interactions within an urban economic landscape, offering a detailed analysis of the relationship between agglomeration economies and congestion diseconomies. The results highlight the significant influence of congestion parameter adjustments on urban patterns, particularly in terms of cluster density and development. Therefore, this study not only provides a deeper understanding of the intricate balance between economic and urban planning factors but also emphasizes the necessity of incorporating these insights into urban planning and policy formulation for sustainable urban development. The findings also have important practical implications for addressing the dynamic complexities of urban environments, especially the interactions between different industries and their role in shaping urban structures.

Suggested Citation

  • Junghun Yang & Woorim Ko & Youngtae Cho, 2024. "Modeling the United Oscillation and Wave of economic policy and urban planning employing spatial population dynamics," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-36, July.
    • Handle: RePEc:plo:pone00:0305465
    DOI: 10.1371/journal.pone.0305465
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    References listed on IDEAS

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    1. Jung-Hun Yang & Dick Ettema, 2012. "Modelling the Emergence of Spatial Patterns of Economic Activity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(4), pages 1-6.
    2. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    3. Jung-Hun Yang & Dick Ettema & Koen Frenken, 2012. "Modelling the emergence of spatial patterns of economic activity," Papers 1204.6638, arXiv.org.
    4. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    5. Leo van Wissen, 2000. "A micro-simulation model of firms: Applications of concepts of the demography of the firm," Papers in Regional Science, Springer;Regional Science Association International, vol. 79(2), pages 111-134.
    6. Alexander Klein & Nicholas Crafts, 2020. "Agglomeration externalities and productivity growth: US cities, 1880–1930," Economic History Review, Economic History Society, vol. 73(1), pages 209-232, February.
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