Work

A Review on Applications of Big Data for Disaster Management

Year: 2017

Type: conference-paper

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, improved comfort, usability and endurance based on the integration of energy consumption data, environmental conditions and levels of occupancy. This paper aims 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.

Source: International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

DOI: 10.1109/sitis.2017.67

Authors: Muhammad Arslan, Ana-Maria Roxin, Christophe Cruz, Dominique Ginhac

Institutions: Centre National de la Recherche Scientifique, Université de Bourgogne, Arts et Métiers, Laboratoire d’Électronique, Informatique et Image, Université de Franche-Comté

Language: English

Topic: Energy and Environmental Systems

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: green

Funder: Agence Nationale de la Recherche