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Uncovering structural diversity in commuting networks: global and local entropy
Valentina Marin1, Carlos Molinero2, Elsa Arcaute2
1Centre for Advanced Spatial Analysis, University College London, London, W1T 4TJ, UK. v.marin@ucl.ac.uk.
Scientific Reports
|February 1, 2022
Summary
Mobility entropy analysis reveals how urban commuting patterns evolve from centralized to scattered. This research quantifies complexity in urban networks, identifying key hubs and interdependencies for better urban planning.
Area of Science:
- Urban studies
- Network science
- Spatial analysis
Background:
- Urban centers exhibit evolving spatial interaction structures.
- Complexity increases from centralized to scattered origin-destination patterns.
- Entropy measures can quantify this structural diversity.
Purpose of the Study:
- Revisit and apply mobility entropy to urban commuting networks.
- Explore complexity and quantify structural diversity of in- and out-flows.
- Compare global and local entropy measures for system insights.
Main Methods:
- Utilized toy models of commuting networks.
- Examined global and local entropy measures.
- Computed measures on UK's Northern Powerhouse and Greater South East commuting networks.
Main Results:
- Link and node level entropy provide distinct insights.
- Identified employment hubs and interdependencies within and between urban systems.
- Demonstrated relevance in real-world city systems.
Conclusions:
- Entropy measures are valuable tools for understanding urban network complexity.
- Findings inform decentralization and resilience-oriented planning and policy.
- Highlights the utility of mobility entropy in urban systems analysis.
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