Analysing objective and subjective data in social sciences: Implications for Smart Cities

Erhan, L., Ndubuaku, M., Ferrara, E. et al. (5 more authors) (2019) Analysing objective and subjective data in social sciences: Implications for Smart Cities. IEEE Access. ISSN 2169-3536

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/.
Keywords: Data analysis; data science; smart cities; social science; urban analytics; urban planning
Dates:
  • Published (online): 4 February 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Landscape (Sheffield)
Funding Information:
FunderGrant number
NATURAL ENVIRONMENT RESEARCH COUNCILNE/N013565/1
Depositing User: Symplectic Sheffield
Date Deposited: 15 Feb 2019 11:51
Last Modified: 15 Feb 2019 11:51
Published Version: https://doi.org/10.1109/access.2019.2897217
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/access.2019.2897217

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