Dynamic Land Use

  • Michael Ulm (Vortragender)

    Aktivität: Vortrag ohne Tagungsband / VorlesungPräsentation auf einer wissenschaftlichen Konferenz / Workshop


    In order to better allocate scarce resources for long term development projects, more information is needed on how residents move through and use a city. Traditional data sources such as zoning regulations and travel surveys are often idiosyncratic, expensive, and infrequently updated. Mobile phones offer a far richer data source to measure the urban environment. Using anonymized location data for millions of phone events within a city, we use machine learning techniques to classify zoning across the city with high rates of accuracy.
    Zeitraum4 Nov. 2011
    EreignistitelMIT HumNet Seminar

    Research Field

    • Ehemaliges Research Field - Mobility Systems