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Smart Cities as Hubs: A Use Case in Public School Buildings

Author(s): ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 2, v. 14
Page(s): 517
DOI: 10.3390/buildings14020517
Abstract:

Contextual data are receiving increasing attention in Smart Cities as they enable the development and delivery of smart services for their citizens. The homogenization of contextual data flows has become an important topic for standardization bodies as they attempt to enable data flow control and vendor-independent solutions. Buildings are a critical component of cities, due to their role in several dimensions of Smart Cities (including the United Nations Sustainable Development Goals); these may include the monitoring of their operation, maintenance, energy consumption, ability to respond in emergencies, and people flows, all of which affect the sustainability of a Smart City’s ecosystem. In this respect, Building Information Management Systems and Building Infrastructure Management Systems can benefit from this standardization. This paper presents how a novel solution named Smart-City-as-Hub can homogenize building contextual data and enable smart services’ development and delivery based on these data. The analysis of the data from several IoT deployments in public school buildings is the method used to highlight the segmentation and fragmentation of the IoT landscape and to present the benefits that the Smart-City-as-Hub provides in this context. The ways in which the Smart-City-as-Hub concept can mitigate these challenges and enable Smart City stakeholders to concentrate their efforts on developing value-added services is presented in the discussion section. By providing real-life data of the IoT devices deployed in Smart City projects, this study aims to further advance research pursuing the homogenization and standardization of Smart City flows.

Copyright: © 2024 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10773500
  • Published on:
    29/04/2024
  • Last updated on:
    05/06/2024
 
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