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Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
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Big data, smart cities and city planning.

Michael Batty1

  • 1University College London, UK.

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|February 24, 2018
PubMed
Summary
This summary is machine-generated.

Urban big data, streamed from sensors, offers real-time insights into city dynamics. This shift impacts urban planning, moving from long-term strategies to immediate management needs, with future potential for historical analysis.

Keywords:
big datamanaging disruptionsnew theoryreal-time streamingshorter time horizonssmart cities

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Area of Science:

  • Urban Informatics
  • Data Science
  • Geospatial Analysis

Background:

  • Cities generate vast amounts of data, increasingly tagged to specific locations and times.
  • Sensor technology is a primary source of this urban data, marking a significant shift in data availability.
  • The characteristics of urban big data necessitate new analytical approaches.

Purpose of the Study:

  • To define urban big data, emphasizing its spatio-temporal nature.
  • To explore the implications of sensor-driven urban data on city planning and management.
  • To highlight the need for novel theoretical frameworks to analyze urban big data.

Main Methods:

  • Conceptual definition of urban big data.
  • Analysis of the shift from strategic planning to short-term management due to data trends.
  • Case study illustration using six months of smart travel card data from London's public transport.

Main Results:

  • Urban big data is characterized by its size and spatio-temporal tagging, primarily sourced from sensors.
  • The growth of urban big data is driving a focus on short-term operational management over long-term strategic planning.
  • Analysis of London's smart travel card data demonstrates the potential and challenges of using granular urban data.

Conclusions:

  • New theories and analytical methods are crucial for understanding and leveraging urban big data.
  • Urban big data offers a rich, albeit complex, resource for understanding city functions across multiple time scales.
  • The study underscores the transformative potential of sensor-generated urban data for urban science and policy.