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Detecting the interaction between urban elements evolution with population dynamics model.

Min Jin1,2, Lizhe Wang3,4, Fudong Ge1

  • 1School of Computer Science, China University of Geosciences, Wuhan, 430074, China.

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This study introduces a new ecological dynamics model to simulate urban element evolution. The model quantifies interactions between population density, housing prices, and land cover changes for better urban development insights.

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Area of Science:

  • Urban dynamics and spatial modeling
  • Ecological modeling and simulation
  • Geographic Information Science

Background:

  • Understanding urban element evolution is crucial for city development.
  • Non-linearity and complexity of urban changes pose challenges.
  • Microscopic simulation of urban processes is needed.

Purpose of the Study:

  • To propose a novel model for simulating urban element evolution.
  • To analyze the spatiotemporal interactions between urban elements.
  • To provide a quantitative understanding of urban development.

Main Methods:

  • Developed a cross-diffusion partial differential equation model based on ecological dynamics.
  • Simulated interactions between urban elements using non-linear, spatiotemporal equations.
  • Applied the model to population density, housing prices, and land cover data.

Main Results:

  • Successfully simulated the evolutionary process of urban elements from a microscopic perspective.
  • Quantified the interactions between population density and housing prices over time.
  • Obtained a quantitative expression for interactions among different land cover types.

Conclusions:

  • The proposed model effectively simulates urban element evolution and interactions.
  • Ecological dynamics modeling offers a powerful approach for urban studies.
  • The findings can inform more directed and improved urban development strategies.