Transportation

Similarity and economy of scale in urban transportation networks and optimal transport-based infrastructures

D. Leite and C. D. Bacco

This research by Daniela Leite and Caterina De Bacco introduces a groundbreaking method that leverages optimal transport theory to recreate urban transportation networks, closely resembling real-world systems. It ingeniously constructs networks from minimal origin and destination points while offering a quantitative analysis of network similarity and potential enhancements.

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Abstract

This study proposes a method inspired by optimal transport theory and the principle of economy of scale to generate urban transportation network structures similar to real-world networks. Unlike standard approaches, it builds networks from scratch using only a few origin and destination points, showing noteworthy similarity to real train, tram, and subway networks in several cases. A parameter allows simulation of various network types, offering a quantitative measure of network similarity and suggesting potential improvements.

Publisher

Nature Communications

Published On

Sep 12, 2024

Authors

Daniela Leite, Caterina De Bacco

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