Urban economy as a scale-free network

Area of Science:

• Urban economics
• Network science
• Economic geography

Background:

• Traditional urban models often assume uniform distributions.
• Empirical observations suggest non-uniform distributions in urban phenomena like land values.
• Understanding the drivers of these distributions is crucial for urban planning and economic analysis.

Purpose of the Study:

• To provide empirical evidence for scale-free land values.
• To introduce a network model explaining the observed land value distributions.
• To explore the implications of network properties for urban observables.

Main Methods:

• Analysis of empirical land value data.
• Development of a growing scale-free network model for urban markets.
• Simulation and analysis of network dynamics to reproduce empirical observations.

Main Results:

• Empirical evidence confirms that land values are scale-free.
• The proposed network model successfully reproduces the observed scale-free land values.
• Network properties, specifically trade between specialized activities, are identified as drivers of power-law distributions.

Conclusions:

• Land values and potentially other urban observables (e.g., population) follow power-law distributions due to network effects.
• The network approach offers a robust framework for understanding and predicting urban market dynamics.
• This model provides a foundation for further analytical and predictive urban modeling.