Extracting the multimodal fingerprint of urban transportation networks

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  • Luis Guillermo Natera Orozco
  • Federico Battiston
  • Gerardo Iñiguez
  • Michael Szell

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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 languageEnglish
Article number13171
JournalTransport Findings
Number of pages8
Publication statusPublished - 10 Jun 2020

    Research areas

  • multiplex networks, sustainable transport, multi-modal transportation


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