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Updated: May 25, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Network structure and city size.

David Levinson¹

¹Department of Civil Engineering, University of Minnesota, Minneapolis, Minnesota, United States of America. dlevinson@umn.edu

|January 19, 2012

Summary

This summary is machine-generated.

Larger cities have more interconnected transportation networks. Better job accessibility and network connectivity significantly reduce commute times and car usage in major US metropolitan areas.

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Last Updated: May 25, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Area of Science:

Urban planning
Transportation engineering
Network science

Background:

City network structures vary significantly.
Understanding these variations is key to improving urban performance.
Transportation networks influence city functionality and resident experience.

Purpose of the Study:

To systematically compare surface transportation network structures across the 50 largest US metropolitan areas.
To identify scaling parameters relating city size to network structure.
To analyze the impact of network structure and job accessibility on commute times and auto mode share.

Main Methods:

Comparison of network structure variables (connectivity, hierarchy, circuity, treeness, entropy, accessibility).
Analysis of scaling parameters for network size and structure relative to city size.
Measurement and ranking of job accessibility across metropolitan areas.
Statistical analysis of commute time and auto mode share based on accessibility and network metrics.

Main Results:

Larger cities exhibit greater physical interconnectedness.
A 1% increase in job accessibility reduces commute times by approximately 90 seconds each way.
Improved network connectivity and treeness correlate with reduced commute times and lower auto mode share.

Conclusions:

Urban network structure is a critical factor in city performance.
Job accessibility and network design significantly impact commute efficiency and transportation choices.
Network and accessibility metrics are vital tools for urban planning and evaluating infrastructure investments.