Extracting the multimodal fingerprint of urban transportation networks
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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
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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