Multi-source dataset for urban computing in a Smart City

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,...

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Main Authors: Ali Reza Honarvar, Ashkan Sami
Format: Article
Language:English
Published: Elsevier 2019-02-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918311910
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spelling doaj-9438939181fa4f7da0e06f7f6a070f6e2020-11-25T02:40:23ZengElsevierData in Brief2352-34092019-02-0122222226Multi-source dataset for urban computing in a Smart CityAli Reza Honarvar0Ashkan Sami1Computer Science and Engineering and Information Technology Department, School of Electrical Engineering and Computer, Shiraz University, Shiraz, IranCorresponding author.; Computer Science and Engineering and Information Technology Department, School of Electrical Engineering and Computer, Shiraz University, Shiraz, IranIt 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. Keywords: Smart City, Internet of Things, Big data, Urban computinghttp://www.sciencedirect.com/science/article/pii/S2352340918311910
collection DOAJ
language English
format Article
sources DOAJ
author Ali Reza Honarvar
Ashkan Sami
spellingShingle Ali Reza Honarvar
Ashkan Sami
Multi-source dataset for urban computing in a Smart City
Data in Brief
author_facet Ali Reza Honarvar
Ashkan Sami
author_sort Ali Reza Honarvar
title Multi-source dataset for urban computing in a Smart City
title_short 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_sort multi-source dataset for urban computing in a smart city
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2019-02-01
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. Keywords: Smart City, Internet of Things, Big data, Urban computing
url http://www.sciencedirect.com/science/article/pii/S2352340918311910
work_keys_str_mv AT alirezahonarvar multisourcedatasetforurbancomputinginasmartcity
AT ashkansami multisourcedatasetforurbancomputinginasmartcity
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