Abstract

Part 2: Open and Smart Government; International audience; Smart cities focus on using existing resources in a better way to improve the urban environment. At the same time Big and Open Linked Data (BOLD) can be used to better understand the use of the resources and to suggest improvements. The objective of this paper is to investigate the complementariness of the smart cities and big and Open Data research streams. Two inductive cases concerning different aspects of smart cities, energy and mobility, are investigated. The idea of using BOLD for smart cities seems initially straightforward, but the cases show that this is complex. A taxonomy for forms of collecting and opening data is derived. A major challenge is to deal with data distributed over various data sources and how to align the data push with the citizens’ needs. This paper highlights a continuous scale between open and closed data and emphasizes that not only Open Data but also closed data should be used to identify improvements. BOLD can contribute to the ‘smartness’ of cities by linking and combining data or employing data or predictive analytics to improve better use of resources. A smart city only becomes smart when there are smart citizens, businesses, civil servants and other stakeholders.

Document type: Part of book or chapter of book

Full document

The PDF file did not load properly or your web browser does not support viewing PDF files. Download directly to your device: Download PDF document

Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-319-22479-4_6 under the license cc-by
https://hal.archives-ouvertes.fr/hal-01412238/document,
https://hal.archives-ouvertes.fr/hal-01412238/file/346786_1_En_6_Chapter.pdf under the license http://www.springer.com/tdm
https://dl.acm.org/citation.cfm?id=2954657,
https://doi.org/10.1007/978-3-319-22479-4_6,
https://rd.springer.com/chapter/10.1007/978-3-319-22479-4_6,
https://dblp.uni-trier.de/db/conf/egov/egov2015.html#JanssenMZ15,
https://link.springer.com/chapter/10.1007/978-3-319-22479-4_6/fulltext.html,
https://academic.microsoft.com/#/detail/2271366536 under the license http://creativecommons.org/licenses/by/
Back to Top

Document information

Published on 01/01/2015

Volume 2015, 2015
DOI: 10.1007/978-3-319-22479-4_6
Licence: Other

Document Score

0

Views 0
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?