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Urban Risk Analytics in the Cloud

Lookup NU author(s): Professor Raj Ranjan, Top Phengsuwan, Professor Philip James, Professor Stuart Barr, Professor Aad van Moorsel


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© 1999-2012 IEEE. Cities are growing rapidly, requiring effective plans for natural disasters and other vulnerabilities. Urban risk analytics can play a significant role in enabling dynamic and timely decision-making for risk management in cities. The authors' cloud-based general framework facilitates effective urban risk analytics over big city data.

Publication metadata

Author(s): Ranjan R, Phengsuwan J, James P, Barr S, Van Moorsel A

Publication type: Review

Publication status: Published

Journal: IT Professional

Year: 2017

Volume: 19

Issue: 2

Pages: 4-9

Online publication date: 28/04/2017

Acceptance date: 02/04/2016

ISSN (print): 1520-9202

Publisher: IEEE Computer Society


DOI: 10.1109/MITP.2017.20