Big Data Applications for Disaster Management

Abstract : The term "disaster management" comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs (based on smart meter readings, statistical learning tools, integration of renewable energy sources, open service clouds), dynamic energy management (based on real-time data reading, benchmarking, visualization and optimization), and improved comfort, usability and endurance (based on the integration of energy consumption data, environmental conditions and levels of occupancy). However, the existing literature on big data for disaster management is limited. This papers aims to address this gap by presenting a systematic literature review on the applications of big data in disaster management. The paper will first presents the visual definition of disaster management and describes big data; it will then illustrate the findings and gives future recommendations after a systematic literature review.
Type de document :
Communication dans un congrès
Boja, C; Doinea, M; Pocatilu, P ; ; Batagan, L; Velicanu, A; Manafi, I; Zamfiroiu, A; Zurini, M; Ciurea, C. 16th International Conference on Informatics in Economy (IE 2017): Education, Research and Business Technologies, May 2017, Bucarest, Romania. BUCHAREST UNIV ECONOMIC STUDIES-ASE, 6, PIATA ROMA, 1ST DISTRICT, POSTAL OFFICE 22, BUCHAREST, 010374, ROMANIA, PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY (IE 2017): EDUCATION, RESEARCH & BUSINESS TECHNOLOGIES, 〈http://www.conferenceie.ase.ro/?page_id=665〉
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01858265
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : lundi 20 août 2018 - 12:44:53
Dernière modification le : mercredi 12 septembre 2018 - 01:26:06

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  • HAL Id : hal-01858265, version 1

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Muhammad Arslan, Ana-Maria Roxin, Christophe Cruz, Dominique Ginhac. Big Data Applications for Disaster Management. Boja, C; Doinea, M; Pocatilu, P ; ; Batagan, L; Velicanu, A; Manafi, I; Zamfiroiu, A; Zurini, M; Ciurea, C. 16th International Conference on Informatics in Economy (IE 2017): Education, Research and Business Technologies, May 2017, Bucarest, Romania. BUCHAREST UNIV ECONOMIC STUDIES-ASE, 6, PIATA ROMA, 1ST DISTRICT, POSTAL OFFICE 22, BUCHAREST, 010374, ROMANIA, PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY (IE 2017): EDUCATION, RESEARCH & BUSINESS TECHNOLOGIES, 〈http://www.conferenceie.ase.ro/?page_id=665〉. 〈hal-01858265〉

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