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Big Data for urban studies: opportunities and challenges: a comparative perspective,

Cheng, J and Gould, N and Han, L and Jin, C (2017) Big Data for urban studies: opportunities and challenges: a comparative perspective,. In: 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 18 July 2016 - 21 July 2016, Toulouse, France.

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Abstract

A city is a complex system with complicated interactions between transport, land use, environment, population at a variety of scales. Understanding these interactions is the prerequisite for predicting urban changes, supporting sustainable urban development planning. In this paper, we divide the evolution of urban data into four stages. Then the opportunities of big data (new stage) for urban studies application are explored, followed by case studies from both the UK, China. The main challenges are evaluated, the solutions to which are further discussed, compared between both countries

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