Cargando…

Snap4City Platform to Speed Up Policies

In the development of smart cities, there is a great emphasis on setting up so-called Smart City Control Rooms, SCCR. This paper presents Snap4City as a big data smart city platform to support the city decision makers by means of SCCR dashboards and tools reporting in real time the status of several...

Descripción completa

Detalles Bibliográficos
Autores principales: Mitolo, Nicola, Nesi, Paolo, Pantaleo, Gianni, Paolucci, Michela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871037/
http://dx.doi.org/10.1007/978-3-030-57764-3_7
_version_ 1783648933890752512
author Mitolo, Nicola
Nesi, Paolo
Pantaleo, Gianni
Paolucci, Michela
author_facet Mitolo, Nicola
Nesi, Paolo
Pantaleo, Gianni
Paolucci, Michela
author_sort Mitolo, Nicola
collection PubMed
description In the development of smart cities, there is a great emphasis on setting up so-called Smart City Control Rooms, SCCR. This paper presents Snap4City as a big data smart city platform to support the city decision makers by means of SCCR dashboards and tools reporting in real time the status of several of a city’s aspects. The solution has been adopted in European cities such as Antwerp, Florence, Lonato del Garda, Pisa, Santiago, etc., and it is capable of covering extended geographical areas around the cities themselves: Belgium, Finland, Tuscany, Sardinia, etc. In this paper, a major use case is analyzed describing the workflow followed, the methodologies adopted and the SCCR as the starting point to reproduce the same results in other smart cities, industries, research centers, etc. A Living Lab working modality is promoted and organized to enhance the collaboration among municipalities and public administration, stakeholders, research centers and the citizens themselves. The Snap4City platform has been realized respecting the European Data Protection Regulation (GDPR), and it is capable of processing every day a multitude of periodic and real-time data coming from different providers and data sources. It is therefore able to semantically aggregate the data, in compliance with the Km4City multi-ontology and manage data: (i) having different access policies; and (ii) coming from traditional sources such as Open Data Portals, Web services, APIs and IoT/IoE networks. The aggregated data are the starting point for the services offered not only to the citizens but also to the public administrations and public-security service managers, enabling them to view a set of city dashboards ad hoc composed on their needs, for example, enabling them to modify and monitor public transportation strategies, offering the public services actually needed by citizens and tourists, monitor the air quality and traffic status to establish, if impose or not, traffic restrictions, etc. All the data and the new knowledge produced by the data analytics of the Snap4City platform can also be accessed, observing the permissions on each kind of data, thanks to the presence of an APIs complex system.
format Online
Article
Text
id pubmed-7871037
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-78710372021-02-09 Snap4City Platform to Speed Up Policies Mitolo, Nicola Nesi, Paolo Pantaleo, Gianni Paolucci, Michela Smart and Sustainable Planning for Cities and Regions Article In the development of smart cities, there is a great emphasis on setting up so-called Smart City Control Rooms, SCCR. This paper presents Snap4City as a big data smart city platform to support the city decision makers by means of SCCR dashboards and tools reporting in real time the status of several of a city’s aspects. The solution has been adopted in European cities such as Antwerp, Florence, Lonato del Garda, Pisa, Santiago, etc., and it is capable of covering extended geographical areas around the cities themselves: Belgium, Finland, Tuscany, Sardinia, etc. In this paper, a major use case is analyzed describing the workflow followed, the methodologies adopted and the SCCR as the starting point to reproduce the same results in other smart cities, industries, research centers, etc. A Living Lab working modality is promoted and organized to enhance the collaboration among municipalities and public administration, stakeholders, research centers and the citizens themselves. The Snap4City platform has been realized respecting the European Data Protection Regulation (GDPR), and it is capable of processing every day a multitude of periodic and real-time data coming from different providers and data sources. It is therefore able to semantically aggregate the data, in compliance with the Km4City multi-ontology and manage data: (i) having different access policies; and (ii) coming from traditional sources such as Open Data Portals, Web services, APIs and IoT/IoE networks. The aggregated data are the starting point for the services offered not only to the citizens but also to the public administrations and public-security service managers, enabling them to view a set of city dashboards ad hoc composed on their needs, for example, enabling them to modify and monitor public transportation strategies, offering the public services actually needed by citizens and tourists, monitor the air quality and traffic status to establish, if impose or not, traffic restrictions, etc. All the data and the new knowledge produced by the data analytics of the Snap4City platform can also be accessed, observing the permissions on each kind of data, thanks to the presence of an APIs complex system. 2020-09-11 /pmc/articles/PMC7871037/ http://dx.doi.org/10.1007/978-3-030-57764-3_7 Text en © The Author(s) 2021 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Mitolo, Nicola
Nesi, Paolo
Pantaleo, Gianni
Paolucci, Michela
Snap4City Platform to Speed Up Policies
title Snap4City Platform to Speed Up Policies
title_full Snap4City Platform to Speed Up Policies
title_fullStr Snap4City Platform to Speed Up Policies
title_full_unstemmed Snap4City Platform to Speed Up Policies
title_short Snap4City Platform to Speed Up Policies
title_sort snap4city platform to speed up policies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871037/
http://dx.doi.org/10.1007/978-3-030-57764-3_7
work_keys_str_mv AT mitolonicola snap4cityplatformtospeeduppolicies
AT nesipaolo snap4cityplatformtospeeduppolicies
AT pantaleogianni snap4cityplatformtospeeduppolicies
AT paoluccimichela snap4cityplatformtospeeduppolicies