Big data, smart cities and city planning

Dialogues in Human Geography
Michael Batty

Abstract

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.

References

Apr 7, 2012·Scientific Reports·Tobias PreisSteven R Bishop

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Citations

Jan 25, 2017·Journal of Urban Health : Bulletin of the New York Academy of Medicine·Chinmoy Sarkar, Chris Webster
May 7, 2016·Royal Society Open Science·Chanuki Illushka SeresinheHelen Susannah Moat
Nov 21, 2018·Proceedings of the National Academy of Sciences of the United States of America·Jie HuangZi-Jia Wang
May 7, 2016·Royal Society Open Science·Matthew L DaggittCecilia Mascolo
Jul 16, 2017·Scientific Reports·Duccio PiovaniMichael Batty
Jul 28, 2018·Sensors·Federica ValentiniMaurizio Talamo
Mar 27, 2021·Nature Communications·Boyeong HongConstantine E Kontokosta
Mar 10, 2020·Journal of Environmental Management·Wanggi Jaung, L Roman Carrasco

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