Urban retail location: Insights from percolation theory and spatial interaction modeling

Area of Science:

• Urban studies
• Network science
• Economic geography

Background:

• Road networks are crucial drivers of urban activities and city dynamics.
• Retail dynamics significantly impact a city's economy, leading to extensive research in mathematical modeling of retail location and clustering.
• The interdependence between road networks and retail distribution is fundamental to understanding urban systems, yet their comparative analysis is underexplored.

Purpose of the Study:

• To compare the hierarchical structure of road networks with retail location distributions within urban environments.
• To investigate the relationship between the spatial organization of road infrastructure and the patterns of retail activity.
• To provide new evidence for the interdependence of road networks and retail dynamics in cities.

Main Methods:

• Characterization of road network hierarchy using percolation analysis.
• Modeling retail location distribution with a gravity-based retail model.
• Comparative analysis of local and global properties of both systems.

Main Results:

• A significant agreement was found between the hierarchical structure of the road network and the distribution of retail locations.
• Percolation analysis effectively unveiled the road network's hierarchical organization.
• The gravity-based retail model successfully represented retail location patterns.

Conclusions:

• The study provides compelling evidence for the strong interdependence between urban road networks and retail activity distribution.
• The observed agreement suggests that both road infrastructure and retail patterns emerge from shared organizational principles within a city.
• This research highlights the importance of considering both network structure and economic activities for a holistic understanding of urban ecosystems.