ITU

Extracting the multimodal fingerprint of urban transportation networks

Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review

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Extracting the multimodal fingerprint of urban transportation networks. / Natera Orozco, Luis Guillermo; Battiston, Federico; Iñiguez, Gerardo; Szell, Michael.

In: Transport Findings, 10.06.2020.

Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review

Harvard

Natera Orozco, LG, Battiston, F, Iñiguez, G & Szell, M 2020, 'Extracting the multimodal fingerprint of urban transportation networks', Transport Findings. https://doi.org/10.32866/001c.13171

APA

Natera Orozco, L. G., Battiston, F., Iñiguez, G., & Szell, M. (2020). Extracting the multimodal fingerprint of urban transportation networks. Transport Findings, [13171]. https://doi.org/10.32866/001c.13171

Vancouver

Natera Orozco LG, Battiston F, Iñiguez G, Szell M. Extracting the multimodal fingerprint of urban transportation networks. Transport Findings. 2020 Jun 10. 13171. https://doi.org/10.32866/001c.13171

Author

Natera Orozco, Luis Guillermo ; Battiston, Federico ; Iñiguez, Gerardo ; Szell, Michael. / Extracting the multimodal fingerprint of urban transportation networks. In: Transport Findings. 2020.

Bibtex

@article{ca370155c92a424ebe8938e1897affea,
title = "Extracting the multimodal fingerprint of urban transportation networks",
abstract = "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{\textquoteright}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.",
keywords = "multiplex networks, sustainable transport, multi-modal transportation",
author = "{Natera Orozco}, {Luis Guillermo} and Federico Battiston and Gerardo I{\~n}iguez and Michael Szell",
year = "2020",
month = jun,
day = "10",
doi = "10.32866/001c.13171",
language = "English",
journal = "Transport Findings",

}

RIS

TY - JOUR

T1 - Extracting the multimodal fingerprint of urban transportation networks

AU - Natera Orozco, Luis Guillermo

AU - Battiston, Federico

AU - Iñiguez, Gerardo

AU - Szell, Michael

PY - 2020/6/10

Y1 - 2020/6/10

N2 - 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.

AB - 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.

KW - multiplex networks

KW - sustainable transport

KW - multi-modal transportation

U2 - 10.32866/001c.13171

DO - 10.32866/001c.13171

M3 - Journal article

JO - Transport Findings

JF - Transport Findings

M1 - 13171

ER -

ID: 85193795