What can be regarded as Big Data in the context of urban planning and design?

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Shafagat Mahmudova

Dear Malakia David Naholo ,

URBAN BIG DATA Various sources for data, including: - sensor data for all types of urban infrastructures - [real-time] transport tracking data - social network data [information about events or opinions] - public app data - user volunteered data [including geographic data] - phone data - open data provided by government [e.g., air pollution data, crime data, meteorological data, land use data]

https://www.thegpsc.org/sites/gpsc/files/partnerdocs/bige_tuncer_v3.pdf

Regards,

Shafagat

Malakia David Naholo

Shafagat Mahmudova thank you for answer. It is very informative and eye opening.

Yurii Prokopchuk

Even the "smart home" can give rise to big data...

Consider assistive technologies, home medicine, social robotics, "smart technologies for the elderly" (Zero Effort Technologies), etc... For such tasks, you need the cognitive Internet (Cognitive Internet of Everything) and Ambient Intelligence (AmI), and this is Big Data...

Towards the city of the future - «Ambient Assistive Living»:

- Cognitive IoT approach for ambient-intelligent smart spaces

- Home Ambient Intelligent System

- Brain-Inspired Intelligent Systems for Daily Assistance

- AmI for Energy Saving in Buildings

- Intelligent Learning Environments

- ...

Yurii

Yurii Prokopchuk Thank you for your answer and time. Your perspective is very interesting, can you recommend literature for further reading?

'Your perspective is very interesting, can you recommend literature for further reading?'

There are many good articles on the subject...

For example, I research and develop a wide range of cognitive assistive technologies.... I believe that such technologies should have human-like intuition to anticipate the development of any situation... (my book on this subject was published in october)... Intuition requires Big Data... My masters are implementing this approach in "Smart Home"...

Kenny Lu

Application of tourist attractions and transportation network, use of medical resources, application of school and teaching resources, distribution and classification of local business, other applications involving private personal information.