Extracting the multimodal fingerprint of urban transportation networks

L.G.N. Orozco; F. Battiston; G. Iñiguez; M. Szell

doi:10.48550/arXiv.2006.03435

Extracting the multimodal fingerprint of urban transportation networks

L.G.N. Orozco, F. Battiston, G. Iñiguez, M. Szell

Department of Network and Data Science

Research output: Working paper/Preprint › Preprint

Abstract (may include machine translation)

Urban mobility increasingly relies on multimodality, combining the use of bicycle paths, streets, and rail networks. These different modes of transportation are well described by multiplex networks. Here we propose the overlap census method which extracts a multimodal profile from a city's multiplex transportation network. We apply this method to 15 cities, identify clusters of cities with similar profiles, and link this feature to the level of sustainable mobility of each cluster. Our work highlights the importance of evaluating all the transportation systems of a city together to adequately identify and compare its potential for sustainable, multimodal mobility.

Original language	English
Publisher	arXiv
Number of pages	6
DOIs	https://doi.org/10.48550/arXiv.2006.03435
State	Published - 5 Jun 2020

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10.48550/arXiv.2006.03435License: CC BY

1 Article

Extracting the Multimodal Fingerprint of Urban Transportation Networks
Natera Orozco, L. G., Battiston, F., Iñiguez, G. & Szell, M., 10 Jun 2020, In: Transport Findings. 2020
Research output: Contribution to journal › Article › peer-review

Open Access

Cite this

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Extracting the multimodal fingerprint of urban transportation networks

Abstract (may include machine translation)

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Research output

Extracting the Multimodal Fingerprint of Urban Transportation Networks

Cite this