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New Data and Methods for Modelling Future Urban Travel Demand: A State of the Art Review

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Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 54)

Abstract

This paper aims is to provide an overview of how new data collection methods and the various advances in urban travel demand modelling are improving the understanding of mobility. These new modelling applications and data allow for a study of both new disruptive transport services and changes in travel behaviours in the “Mobility as a Service” (MaaS) context that needs to be overcome in the future.

Keywords

Travel demand modelling State of the art Review Urban mobility New data sources Future mobility 

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Campus Nord UPC Jordi Girona, 1-3 Building C-3BarcelonaSpain
  2. 2.CIMNE Castelldefels Edifici C3 Parc Mediterrani de la Tecnología UPC C/ Esteve Terrades no 5CastelldefelsSpain
  3. 3.CENIT, Barcelona, c/Jordi Girona s/n Campus Nord UPC, Edifici C1BarcelonaSpain

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