Cargando…

Multi-source dataset for urban computing in a Smart City

It is vital to capture and analyze, from various sources in smart cities, the data that are beneficial in urban planning and decision making for governments and individuals. Urban policy makers can find a suitable solution for urban development by using the opportunities and capacities of big data,...

Descripción completa

Detalles Bibliográficos
Autores principales: Honarvar, Ali Reza, Sami, Ashkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302253/
https://www.ncbi.nlm.nih.gov/pubmed/30581931
http://dx.doi.org/10.1016/j.dib.2018.09.113
_version_ 1783381946867384320
author Honarvar, Ali Reza
Sami, Ashkan
author_facet Honarvar, Ali Reza
Sami, Ashkan
author_sort Honarvar, Ali Reza
collection PubMed
description It is vital to capture and analyze, from various sources in smart cities, the data that are beneficial in urban planning and decision making for governments and individuals. Urban policy makers can find a suitable solution for urban development by using the opportunities and capacities of big data, and by combining different heterogeneous data resources in smart cities. This paper presents data related to urban computing with an aim of assessing the knowledge that can be obtained through integration of multiple independent data sources in Smart Cities. The data contains multiple sources in the city of Aarhus, Denmark from August 1, 2014 to September 30, 2014. The sources include land use, waterways, water barriers, buildings, roads, amenities, POI, weather, traffic, pollution, and parking lot data. The published data in this paper is an extended version of the City Pulse project data to which additional data sources collected from online sources have been added.
format Online
Article
Text
id pubmed-6302253
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-63022532018-12-21 Multi-source dataset for urban computing in a Smart City Honarvar, Ali Reza Sami, Ashkan Data Brief Computer Science It is vital to capture and analyze, from various sources in smart cities, the data that are beneficial in urban planning and decision making for governments and individuals. Urban policy makers can find a suitable solution for urban development by using the opportunities and capacities of big data, and by combining different heterogeneous data resources in smart cities. This paper presents data related to urban computing with an aim of assessing the knowledge that can be obtained through integration of multiple independent data sources in Smart Cities. The data contains multiple sources in the city of Aarhus, Denmark from August 1, 2014 to September 30, 2014. The sources include land use, waterways, water barriers, buildings, roads, amenities, POI, weather, traffic, pollution, and parking lot data. The published data in this paper is an extended version of the City Pulse project data to which additional data sources collected from online sources have been added. Elsevier 2018-10-03 /pmc/articles/PMC6302253/ /pubmed/30581931 http://dx.doi.org/10.1016/j.dib.2018.09.113 Text en © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Science
Honarvar, Ali Reza
Sami, Ashkan
Multi-source dataset for urban computing in a Smart City
title Multi-source dataset for urban computing in a Smart City
title_full Multi-source dataset for urban computing in a Smart City
title_fullStr Multi-source dataset for urban computing in a Smart City
title_full_unstemmed Multi-source dataset for urban computing in a Smart City
title_short Multi-source dataset for urban computing in a Smart City
title_sort multi-source dataset for urban computing in a smart city
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302253/
https://www.ncbi.nlm.nih.gov/pubmed/30581931
http://dx.doi.org/10.1016/j.dib.2018.09.113
work_keys_str_mv AT honarvaralireza multisourcedatasetforurbancomputinginasmartcity
AT samiashkan multisourcedatasetforurbancomputinginasmartcity