🤖 AI Summary
How hierarchy and proximity jointly shape intercity interaction structures in urban systems remains unclear. This study addresses this gap by embedding intercity mobility data into hyperbolic geometric space, proposing a unified geometric model that integrates both hierarchical organization and spatial proximity. The model reveals the non-stationary nestedness and spatial extent of urban hinterlands, governed by the trade-off between these two principles. Validated across twelve national-scale mobility datasets using hyperbolic embedding, complex network modeling, and large-scale empirical data from multiple countries, the framework demonstrates robust performance and offers a novel theoretical foundation for urban science, spatial planning, and regional policy design.
📝 Abstract
The hierarchy and proximity are key dimensions of urban relational processes, but their interplay in shaping intercity interactions and the underlying structures of city systems remain unclear. We develop a novel geometric model of city systems embedding intercity mobility into a latent hyperbolic geometry, which unravels the measures of hierarchy and proximity accounting for their interplay. It is successfully validated against 12 different nationwide intercity mobility datasets. We find a bottom-up emergence of city hierarchies, along which the variations of city-hinterland relations are non-stationary in terms of their nesting and range properties. Such non-stationarity originates from trade-offs between city hierarchy and hinterland range in determining the formation of city-hinterland structures. Hierarchy- and proximity-dominated urban processes can be elucidated from examining dynamics of the trade-offs. The revealed urban relational processes of city systems are at the core of the emerging science of cities and crucial for spatial planning and regional policymaking.