Andreas Züfle
Abstract
According to a US Census report [2], the daytime population of cities like Washington D.C. nearly doubles the nighttime population, coining the notion of "Mega Commuting". To understand, explain, and predict urban mobility, our current data-centered era provides a plethora of rich data sources. These data sources capture mobility on the road, including GPS trajectories, metro, bus and taxi origin-destination data, indoor navigation data and many more types and sources of data.
- D. Schrank, B. Eisele, T. Lomax, and J. Bak. Urban Mobility Scorecard. The Texas A&M Transportation Institute and INRIX, 2015.Google Scholar
- U.S. Census Bureau. U.S. Department of Commerce. Economics and Statistics Administration. Measuring America: An Overview to Commuting and Related Statistics https://www.census.gov/content/dam/Census/data/training-workshops/recorded-webinars/commuting-nov2014.pdf.Google Scholar
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