Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures
dc.contributor.author
Bennati, Stefano
dc.contributor.author
Dusparic, Ivana
dc.contributor.author
Shinde, Rhythima
dc.contributor.author
Jonker, Catholijn M.
dc.date.accessioned
2019-02-19T14:26:32Z
dc.date.available
2019-02-19T14:26:32Z
dc.date.issued
2018-11
dc.identifier.issn
1424-8220
dc.identifier.other
10.3390/s18113707
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/326282
dc.identifier.doi
10.3929/ethz-b-000302888
dc.description.abstract
Provision of smart city services often relies on users contribution, e.g., of data, which can be costly for the users in terms of privacy. Privacy risks, as well as unfair distribution of benefits to the users, should be minimized as they undermine user participation, which is crucial for the success of smart city applications. This paper investigates privacy, fairness, and social welfare in smart city applications by means of computer simulations grounded on real-world data, i.e., smart meter readings and participatory sensing. We generalize the use of public good theory as a model for resource management in smart city applications, by proposing a design principle that is applicable across application scenarios, where provision of a service depends on user contributions. We verify its applicability by showing its implementation in two scenarios: smart grid and traffic congestion information system. Following this design principle, we evaluate different classes of algorithms for resource management, with respect to human-centered measures, i.e., privacy, fairness and social welfare, and identify algorithm-specific trade-offs that are scenario independent. These results could be of interest to smart city application designers to choose a suitable algorithm given a scenario-specific set of requirements, and to users to choose a service based on an algorithm that matches their privacy preferences.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Participatory sensing
en_US
dc.subject
Smart cities
en_US
dc.subject
Public good
en_US
dc.subject
Privacy
en_US
dc.subject
Fairness
en_US
dc.title
Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2018-10-31
ethz.journal.title
Sensors
ethz.journal.volume
18
en_US
ethz.journal.issue
11
en_US
ethz.pages.start
3707
en_US
ethz.size
22 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
Modeling the Emergence of Social Complexity and Order: How Individual and Societal Complexity Co-Evolve
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
ethz.grant.agreementno
324247
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
FP7
ethz.date.deposited
2018-11-10T12:53:32Z
ethz.source
SCOPUS
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-02-19T14:26:46Z
ethz.rosetta.lastUpdated
2024-02-02T07:10:54Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/302888
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/310774
ethz.COinS
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