Online platform for case studies in smart cities

Coelho, Sara and Lopes, Nuno, "Online platform for case studies in smart cities" 1st International Multidisciplinary Conference on Computer and Energy Science (SpliTech 2016), Split, 2016/07/13-15.

Document type:
Conference Publication

Metadata
Links
Versions
Statistics
  • Sub-type Conference paper
    Author Coelho, Sara
    Lopes, Nuno
    Title Online platform for case studies in smart cities
    Event Series 2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech)
    Publication Date 2016-09
    Place of Publication New York
    Publisher IEEE
    Pages 1-6
    Title of Event 1st International Multidisciplinary Conference on Computer and Energy Science (SpliTech 2016)
    Date of Event 2016/07/13-15
    Place of Event Split
    Language eng
    Abstract Currently, the fast rate of population growth in urban areas are putting a big pressure in services supply. In order to fulfil citizens' demands, the cities' operations need to be intelligently optimized. All around the world cities are implementing smart cities initiatives to address this challenge. The development of smart initiatives implies the adoption of solutions that heavily rely on Information and Communication Technologies (ICTs). These smart solutions are being seen as crucial instruments to achieve more livable and sustainable cities. The urban problems are addressed by means of innovative solutions, which mainly resorting to the use of real-time data analysis technologies to support the decision-making process in city operations. For helping the municipalities who want to develop smart city initiatives in their cities, this paper proposes an online platform, which allows decision-makers and information managers making 3D analysis of case studies around the world. The platform is being developed resorting to OLAP technology.
    Keyword Smart Cities
    ICTs
    Business Intelligence
    OLAP
    Copyright Holder IEEE
    Copyright Year 2016
    Copyright type All rights reserved
    ISBN 9781509016617
    DOI 10.1109/SpliTech.2016.7555941
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 201 Abstract Views  -  Detailed Statistics
    Created: Mon, 16 Sep 2019, 23:45:22 JST by Mario Peixoto on behalf of UNU EGOV