Version 1
: Received: 26 August 2019 / Approved: 28 August 2019 / Online: 28 August 2019 (09:57:12 CEST)
How to cite:
Barro, P.A. Smart City Smartness Measurement Based on KPI for Developing Countries. Preprints2019, 2019080292. https://doi.org/10.20944/preprints201908.0292.v1.
Barro, P.A. Smart City Smartness Measurement Based on KPI for Developing Countries. Preprints 2019, 2019080292. https://doi.org/10.20944/preprints201908.0292.v1.
Cite as:
Barro, P.A. Smart City Smartness Measurement Based on KPI for Developing Countries. Preprints2019, 2019080292. https://doi.org/10.20944/preprints201908.0292.v1.
Barro, P.A. Smart City Smartness Measurement Based on KPI for Developing Countries. Preprints 2019, 2019080292. https://doi.org/10.20944/preprints201908.0292.v1.
Abstract
A smart city is a futuristic approach that evolves with new technologies. It can start as a simple community and evolve into future cities. In most developing countries, where the population growth is faster, and where the organization and the urbanization are slower, there is a serious need for a framework for progressive change towards sustainable cities. This article discusses the level of intelligence of smart city components and proposes indicators as well as a methodology for measuring intelligence based on the objectives to be achieved as well as a certain number of technical requirements and some cognitive processes implemented.
Keywords
Internet of Things for development (IoT4D); sustainability; smart and futures cities; smart city components (SMART-X); Key Performance Indicators (KPI); cognitive processes
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.