Enhancing urban resilience via a real-time decision support system for smart cities

Sadeeb Ottenburger, Miimu Airaksinen, Isabel Pinto-Seppa, Wolfgang Raskob

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

The emergence of in-memory database technologies may be seen as a groundbreaking development in the segment of data storage and data analytics enabling end-users using real-time applications on top of big data. In this work, we propose a framework for a real-time decision support system for response during a crisis or disruption of critical infrastructures or their components grounding on in-memory database technologies and smart city data sources. A simulation software which utilizes a multi-agent based model for describing the landscape of a smart city's infrastructure or their components incorporating a generic framework for defining disruption scenarios, generates big data which is stored in a database applying in-memory database technologies. According to current urban status data and the type of disruptions, data including made decisions and strategies which are best in the sense of urban resilience is instantly collected from the database.

Original languageEnglish
Title of host publication2017 International Conference on Engineering, Technology and Innovation
Subtitle of host publicationEngineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages836-844
Number of pages9
Volume2018-January
ISBN (Electronic)978-1-5386-0774-9
DOIs
Publication statusPublished - 2 Feb 2018
MoE publication typeA4 Article in a conference publication
Event23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017 - Madeira Island, Portugal
Duration: 27 Jun 201729 Jun 2017

Conference

Conference23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017
CountryPortugal
CityMadeira Island
Period27/06/1729/06/17

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Keywords

  • Critical Infrastructure Protection
  • Multi-Agent Based Modelling
  • Real-Time Decision Support System
  • Smart City
  • Urban Resilience

Cite this

Ottenburger, S., Airaksinen, M., Pinto-Seppa, I., & Raskob, W. (2018). Enhancing urban resilience via a real-time decision support system for smart cities. In 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings (Vol. 2018-January, pp. 836-844). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICE.2017.8279970