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

Cheng, J, Gould, N, 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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Official URL: http://ieeexplore.ieee.org/document/7816985/

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

Item Type:	Conference or Workshop Item
Published Proceedings:	IEEE XPLORE
Peer-reviewed:	Yes
Date Deposited:	24 May 2017 08:43
Publisher:	IEEE
Additional Information:	This is a an Author Accepted Manuscript of a paper published by and copyright IEEE.
Divisions:	Faculties > Science and Engineering Research Centres > Centre for Advanced Computational Science Research Centres > Research Centre for Applied Social Sciences
URI:	https://e-space.mmu.ac.uk/id/eprint/618452
DOI:	https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0189

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