Big data, smart cities and city planning

By Michael Batty. Dialogues in Human Geography, 2013

880 citations recorded by the source corpus.

I define big data with respect to its size but pay particular attention to the fact that the data I am referring to is urban data, that is, data for cities that are invariably tagged to space and time. I argue that this sort of data are largely being streamed from sensors, and this represents a sea change in the kinds of data that we have about what happens where and when in cities. I describe how the growth of big data is shifting the emphasis from longer term strategic planning to short-term thinking about how cities function and can be managed, although with the possibility that over much longer periods of time, this kind of big data will become a source for information about every time horizon. By way of conclusion, I illustrate the need for new theory and analysis with respect to 6 months of smart travel card data of individual trips on Greater London’s public transport systems.

Subfields: Building and Construction, Media Technology, Transportation

View Paper: https://www.semanticscholar.org/paper/a98e5856091999922ec7150efefe25bbfeb2aecf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

  1. R. Sanyal
  2. Gary Graham
  3. Md. Kamruzzaman
  4. Mukesh Kumar
  5. Tan Yigitcanlar
  6. Rashid Mehmood
  7. Patrick Hennelly
  8. Royston Meriton

In Media Technology

  1. R. Sanyal
  2. Gary Graham
  3. Paul P. Maglio
  4. Kwang-Jae Kim
  5. Md. Kamruzzaman
  6. Mukesh Kumar
  7. Tan Yigitcanlar
  8. Rashid Mehmood

In Transportation

  1. R. Sanyal
  2. Gary Graham
  3. Paul P. Maglio
  4. Kwang-Jae Kim
  5. Md. Kamruzzaman
  6. Mukesh Kumar
  7. Tan Yigitcanlar
  8. Rashid Mehmood

Citations in the corpus