A new article 'Disparities in travel times between car and transit: Spatiotemporal patterns in cities' has been published in Scientific Reports by Yuan Liao, Jorge Gil, Rafael Pereira, Sonia Yeh and Vilhelm Verendel. In it the authors propose a data fusion framework including real-time traffic data, transit data, and travel demand estimated using Twitter data to compare the travel time by car and public transport in four cities (São Paulo, Brazil; Stockholm, Sweden; Sydney, Australia; and Amsterdam, the Netherlands) at high spatial and temporal resolutions. This study contributes to providing a more realistic performance evaluation that helps future studies further explore what city characteristics as well as urban and transport policies make public transport more attractive, and to create a more sustainable future for cities.
This open access article is available here: https://www.nature.com/articles/s41598-020-61077-0
