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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.
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
URL: https://doi.org/10.1109/MITP.2017.20
DOI: 10.1109/MITP.2017.20
