survey

Public Access

Data-Driven Techniques in Disaster Information Management

Authors:

Shu-Ching Chen,

Jainendra Navlakha,

S. S. IyengarAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 50, Issue 1

Article No.: 1, Pages 1 - 45

https://doi.org/10.1145/3017678

Published: 10 March 2017 Publication History

Abstract

Improving disaster management and recovery techniques is one of national priorities given the huge toll caused by man-made and nature calamities. Data-driven disaster management aims at applying advanced data collection and analysis technologies to achieve more effective and responsive disaster management, and has undergone considerable progress in the last decade. However, to the best of our knowledge, there is currently no work that both summarizes recent progress and suggests future directions for this emerging research area. To remedy this situation, we provide a systematic treatment of the recent developments in data-driven disaster management. Specifically, we first present a general overview of the requirements and system architectures of disaster management systems and then summarize state-of-the-art data-driven techniques that have been applied on improving situation awareness as well as in addressing users’ information needs in disaster management. We also discuss and categorize general data-mining and machine-learning techniques in disaster management. Finally, we recommend several research directions for further investigations.

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ACM Computing Surveys Volume 50, Issue 1

January 2018

588 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3058791

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Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

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Accepted: 01 November 2016

Revised: 01 July 2016

Received: 01 October 2015

Published in CSUR Volume 50, Issue 1

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Nanjing University of Posts and Telecommunications
U.S. Department of Homeland Security
U.S. Department of Homeland Security's VACCINE Center
Chinese National Natural Science Foundation
Ministry of Education/China Mobile joint research
FIU Dissertation Fellowship
National Science Foundation
Scientific and Technological Support Project (Society) of Jiangsu

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Basu MGhosh S(2023)Role of Microblogs in Relief Operations During DisastersInternational Handbook of Disaster Research10.1007/978-981-19-8388-7_173(595-606)Online publication date: 1-Oct-2023
https://doi.org/10.1007/978-981-19-8388-7_173
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